Alternatives to Nygen
Compare Nygen alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Nygen in 2026. Compare features, ratings, user reviews, pricing, and more from Nygen competitors and alternatives in order to make an informed decision for your business.
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1
OmnibusX
OmnibusX Company Limited
In the world of biological data science, navigating vast and complex datasets can be a daunting task. Our software toolkit is designed to empower you by accelerating analysis, promoting accessibility, and providing comprehensive visualization tools to help you make sense of these intricate biological datasets. Our platform is built with data accessibility at its core. With just a few clicks, you can gain seamless access to extensive, high-dimensional biological datasets, including bulk RNA-seq, single-cell RNA-seq, scATAC-seq, spatial RNA-seq, and metagenome-seq. This allows you to focus less on data wrangling and more on analysis and discovery. Our integrated standard processing pipeline includes the latest tools for standard data processing. From normalization and batch correction to PCA, t-SNE, UMAP, clustering, cell type prediction, TCR/BCR, genome browser, and beyond, our pipeline is designed to streamline your workflow and provide you with reliable, reproducible results.Starting Price: $45/month/user -
2
BioTuring Browser
BioTuring Browser
Explore hundreds of curated single-cell transcriptome datasets, along with your own data, through interactive visualizations and analytics. The software also supports multimodal omics, CITE-seq, TCR-seq, and spatial transcriptomic. Interactively explore the world's largest single-cell expression database. Access and query insights from a single-cell database of millions of cells, fully annotated with cell type labels and experimental metadata. Not just creating a gateway to published works, BioTuring Browser is an end-to-end solution for your own single-cell data. Import your fastq files, count matrices, Seurat, or Scanpy objects, and reveal the biological stories inside them. Get a rich package of visualizations and analyses in an intuitive interface, making insight mining from any curated or in-house single-cell dataset become such a breeze. Import single-cell CRISPR screening or Perturb-seq data, and query guide RNA sequences.Starting Price: Free -
3
Cellenics
Biomage
Turn your single-cell RNA sequencing data into meaningful insight with Cellenics software. Biomage hosts a community instance of Cellenics, an open source analytics tool for single-cell RNA sequencing data that has been developed at Harvard Medical School. It enables biologists to explore single-cell datasets without writing code and helps scientists and bioinformaticians to work together more effectively. It takes you from count matrices to publication-ready figures in just a few hours and can be integrated seamlessly with your workflow. It’s fast, interactive, and user-friendly. And it’s cloud-based, secure, and scaleable. The Biomage-hosted community instance of Cellenics is free for academic researchers with small/medium-sized datasets (up to 500,000 cells). It’s used by 3000+ academic researchers studying cancer, cardiovascular health, and developmental biology.Starting Price: Free -
4
SciSpace BioMed Agent
SciSpace
SciSpace BioMed is a domain-native AI “co-scientist” for biomedical research that combines a vast literature database with 150+ integrated bio-tools and 100+ academic databases and software suites to streamline complex research workflows, from genomics and single-cell analysis to drug discovery and clinical genomics. It enables researchers to ask natural-language questions, ingest datasets, interpret variants or multi-omics data, design cloning or wet-lab workflows, reason about clinical or disease biology, and generate publication-ready outputs (e.g., figures, tables, and presentations) with full transparency and citations. Users can interact with scientific papers via “chat with PDF,” highlight confusing text, math, or tables, and get clear explanations, ideal for understanding difficult methods or concepts. For literature review or exploratory research, its AI-driven semantic search accesses millions of papers and returns citation-backed summaries.Starting Price: $12 per month -
5
BigOmics Analytics
BigOmics Analytics
BigOmics Analytics is a biodata analytics startup developing platforms for biologists to easily visualize and understand their omics data. Our flagship product, Omics Playground, is a user-friendly bioinformatics software for RNA-seq and proteomics data that allows users to store and interactively visualize data from experiments. BigOmics Analytics offers over 18 interactive analysis modules and 150+ interactive plots, enabling co-analysis with more than 6,000 public datasets and access to 50,000+ public gene sets and pathways. The platform also integrates drug connectivity and drug sensitivity databases with over 30,000 drug expression profiles. Designed to facilitate collaboration between biologists and bioinformaticians, BigOmics Analytics helps users discover more while spending less time on data analysis, all without requiring coding skills. The platform ensures robust and reproducible results by utilizing best-in-class methods. -
6
Parse Biosciences Evercode
Parse Biosciences
Combinatorial barcoding technology strips away the limitations and frustrations of yesterday’s single-cell approach. It ditches the specialized instrument, freeing you to pursue unprecedented discoveries. Unleash the potential of a single cell. Profile from 1000 to 1 million cells or nuclei in a single experiment, offering unparalleled scientific progress. Evercode combinatorial barcoding technology blows droplet-based approaches out of the water. Expand the size of your experiments without the limitations of yesterday’s restraints. Get better data quality. All without the need for finicky hardware that’s already out of date. Perform single-cell experiments with nothing more than a pipette and common laboratory equipment. Split-pool combinatorial barcoding enables scalable single cells without any custom instrument. Scalable single-cell sequencing without the instrument. Each kit provides end-to-end solution reagents and intuitive analysis software. -
7
Correlation Engine
Illumina
Correlation Engine is an interactive omics knowledgebase that puts private omics data in a biological context with highly curated public data. One of the largest biological databases in the world, Correlation Engine provides life science researchers with unprecedented access to vast numbers of high-quality whole-genome analyses and insightful scientific tools. The knowledgebase enables novel discoveries by interrogating billions of data points derived from standardized analyses of whole genome studies. A suite of applications to determine biological context, a continually growing library of curated data sets, and support for multiple species and multi-omic datasets. Utilize a simple graphical user interface to leverage guided workflows, push-button applications, and APIs. Accelerate your journey from omic data to decision and get access to over 25,000 multi-omics studies (from over 250,000 signatures) that have been reanalyzed. -
8
OmicsBox
BioBam Bioinformatics S.L.
OmicsBox is a leading bioinformatics solution that offers end-to-end data analysis of genomes, transcriptomes, metagenomes, and genetic variation studies. The application is used by top private and public research institutions worldwide and allows researchers to easily process large and complex data sets, and streamline their analysis process. It is designed to be user-friendly, efficient, and with a powerful set of tools to extract biological insights from omics data. The software is structured in different modules, each with a specific set of tools and functions designed to perform different types of analysis, such as de-novo genome assemblies, genetic variation analysis, differential expression analysis, and taxonomic classifications of microbiome data, including the functional interpretation and rich visualizations of results. The functional analysis module includes the popular Blast2GO annotation methodology and makes OmicsBox particularly suited for non-model organism researchStarting Price: €100/month/seat -
9
GeoMx Digital Spatial Profiler (DSP)
nanoString
Quickly resolve tissue heterogeneity and the complexity of microenvironments with the GeoMx Digital Spatial Profiler (DSP), the most flexible and robust spatial multi-omic platform for analysis of FFPE and fresh frozen tissue sections. GeoMx is the only spatial biology platform that non-destructively profiles the expression of RNA and protein from distinct tissue compartments and cell populations with an automated and scalable workflow that integrates with standard histology staining. Spatially profile the whole transcriptome and 570+ protein targets separately or simultaneously from your choice of sample inputs: whole tissue sections, tissue microarrays (TMAs), or organoids. Make GeoMx DSP your spatial biology platform of choice for biomarker discovery and hypothesis testing. Decide where to draw the line and let the tissue be your guide with biology-driven profiling that empowers you to choose the tissue microenvironments and cell types that matter most to you. -
10
AWS HealthOmics
Amazon
Securely combine the multiomic data of individuals with their medical history to deliver more personalized care. Use purpose-built data stores to support large-scale analysis and collaborative research across entire populations. Accelerate research by using scalable workflows and integrated computation tools. Protect patient privacy with HIPAA eligibility and built-in data access and logging. AWS HealthOmics helps healthcare and life science organizations and their software partners store, query, and analyze genomic, transcriptomic, and other omics data and then generate insights from that data to improve health and advance scientific discoveries. Store and analyze omics data for hundreds of thousands of patients to understand how omics variation maps to phenotypes across a population. Build reproducible and traceable clinical multiomics workflows to reduce turnaround times and increase productivity. Integrate multiomic analysis into clinical trials to test new drug candidates. -
11
Illumina Connected Analytics
Illumina
Store, archive, manage, and collaborate on multi-omic datasets. Illumina Connected Analytics is a secure genomic data platform to operationalize informatics and drive scientific insights. Easily import, build, and edit workflows with tools like CWL and Nextflow. Leverage DRAGEN bioinformatics pipelines. Organize data in a secure workspace and share it globally in a compliant manner. Keep your data in your cloud environment while using our platform. Visualize and interpret your data with a flexible analysis environment, including JupyterLab Notebooks. Aggregate, query, and analyze sample and population data in a scalable data warehouse. Scale analysis operations by building, validating, automating, and deploying informatics pipelines. Reduce the time required to analyze genomic data, when swift results can be a critical factor. Enable comprehensive profiling to identify novel drug targets and drug response biomarkers. Flow data seamlessly from Illumina sequencing systems. -
12
Claude Science
Anthropic
Claude Science is an AI-powered scientific research application that helps researchers perform data analysis, literature review, computational workflows, and manuscript preparation within a single environment. Built on Claude models, the application integrates scientific databases, research tools, electronic lab notebooks, HPC systems, and domain-specific software to support end-to-end research workflows. It manages computational environments across local machines, Linux systems, and high-performance computing clusters while maintaining reproducible records of every analysis. Researchers can generate publication-quality figures, perform complex analyses, and trace every result back to the underlying code, environment, and conversation. Claude Science also supports specialized fields including genomics, proteomics, single-cell biology, structural biology, and cheminformatics through preconfigured scientific capabilities. -
13
CZ CELLxGENE Discover
CZ CELLxGENE
Select two custom cell groups based on metadata to find their top differentially expressed genes. Leverage millions of cells from the integrated CZ CELLxGENE corpus for powerful analysis. Execute interactive analyses on a dataset to explore how patterns of gene expression are determined by spatial, environmental, and genetic factors using an interactive speed no-code UI. Understand published datasets or use them as a launchpad to identify new cell sub-types and states. Census provides access to any custom slice of standardized cell data available on CZ CELLxGENE Discover in R and Python. Explore an interactive encyclopedia of 700+ cell types that provides detailed definitions, marker genes, lineage, and relevant datasets in one place. Browse and download hundreds of standardized data collections and 1,000+ datasets characterizing the functionality of healthy mouse and human tissues. -
14
Aspect Analytics
Aspect Analytics
Aspect Analytics offers a spatial multi-omics platform for collaborative, cross-disciplinary data analysis and management. For research teams in drug development, biomarker discovery, pathology analysis, and beyond. Aspect Analytics enables breakthrough research and facilitates cross-disciplinary teamwork by bringing multi-omics data into a single-view, collaborative platform. Layer in different spatial omics measurements in one joint visualization, simultaneously. Our platform combines data from all your spatial multi-omics assays to ensure you get the insights you need. Store & manage petabytes of data, securely. Access it anytime, anywhere. Scale up and customize data infrastructure according to your needs. Integrate spatial biology data from different technologies and from all different vendors, no matter which data format. Set up automated workflows and run in-depth analyses on large datasets, in parallel. -
15
Evo 2
Arc Institute
Evo 2 is a genomic foundation model capable of generalist prediction and design tasks across DNA, RNA, and proteins. It utilizes a frontier deep learning architecture to model biological sequences at single-nucleotide resolution, achieving near-linear scaling of compute and memory relative to context length. Trained with 40 billion parameters and a 1 megabase context length, Evo 2 processes over 9 trillion nucleotides from diverse eukaryotic and prokaryotic genomes. This extensive training enables Evo 2 to perform zero-shot function prediction across multiple biological modalities, including DNA, RNA, and proteins, and to generate novel sequences with plausible genomic architecture. The model's capabilities have been demonstrated in tasks such as designing functional CRISPR systems and predicting disease-causing mutations in human genes. Evo 2 is publicly accessible via Arc's GitHub repository and is integrated into the NVIDIA BioNeMo framework. -
16
Evo Designer
Arc Institute
Evo Designer is an advanced tool developed by the Arc Institute, leveraging the capabilities of the Evo 2 genomic foundation model to facilitate DNA sequence generation and analysis. This platform enables users to input nucleotide sequences or specify organisms, prompting the model to generate corresponding DNA sequences. It provides comprehensive annotations of coding regions and, for prokaryotic sequences, offers 3D protein visualizations utilizing ESMFold. Additionally, Evo Designer evaluates sequences by scoring their perplexity and per-nucleotide entropy, assisting researchers in assessing sequence complexity and variability. The underlying Evo 2 model is trained on over 9 trillion nucleotides from a diverse array of prokaryotic and eukaryotic genomes, employing a deep learning architecture that models biological sequences at single-nucleotide resolution with a context window extending up to 1 million tokens. -
17
Partek Flow
Partek
Partek bioinformatics software delivers powerful statistical and visualization tools in an easy-to-use interface. Researchers of all skill levels are empowered to explore genomic data quicker and easier than ever before. We turn data into discovery®. Pre-installed workflows and pipelines in our intuitive point-and-click interface make sophisticated NGS and array analysis attainable for any scientist. Custom and public statistical algorithms work in concert to easily and precisely distill NGS data into biological insights. Genome browser, Venn diagrams, heat maps, and other interactive visualizations reveal the biology of your next-generation sequencing and array data in brilliant color. Our Ph.D. scientists are always just a phone call away and ready to help with your NGS analysis any time you have questions. Designed specifically for the compute-intensive needs of next-generation sequencing applications with flexible installation and user management options. -
18
g.nome
Almaden Genomics
g.nome, a cloud-native platform that delivers streamlined, scalable, and interoperable workflows for next-generation sequencing analysis. g.nome provides a low-code/no-code pipeline build. With pre-built workflows and toolkits from a curated library, g.nome is giving power to researchers — enabling them to import custom code, handle big datasets reliably, and optimize team collaboration from anywhere. With g.nome, long-time barriers linked to workflow language, process flow visibility, and quality control are removed. All that’s left are streamlined, scalable, and interoperable genomic workflows — leaving research teams to do what they do best: focus on the science. -
19
Loupe Browser
10x Genomics
Loupe Browser is a powerful visualization software that provides the intuitive functionality you need to explore and analyze your 10x Genomics Chromium and Visium data. You can also convert your Seurat objects into Loupe Browser files using the LoupeR package. The navigation and interactive functionality of the Loupe Browser interface uses a lung squamous cell carcinoma dataset. The workspace is centered around the view panel in which single points representing cell barcodes are shown in a variety of projections. Each point represents a single barcode, the vast majority of which correspond to a single cell. The default projection is the t-SNE plot created by the cell ranger pipeline, though other projections are available. You can drag the mouse over the cells to reposition the plot and use the mouse wheel or trackpad to zoom in and out. Cluster labels appear as you move your mouse over the plot, which is useful for data that has a high number of precomputed clusters. -
20
QIAGEN CLC Genomics Workbench
QIAGEN Digital Insights
QIAGEN CLC Genomics Workbench is a powerful solution that works for everyone, no matter the workflow. Cutting-edge technology and unique features and algorithms widely used by scientific leaders in industry and academia make it easy to overcome challenges associated with data analysis. User-friendly bioinformatics software solutions allow for comprehensive analysis of your NGS data, including de novo assembly of whole genomes and transcriptomes, resequencing analysis (WGS, WES and targeted panel support), variant calling, RNA-seq, ChIP-seq and DNA methylation (bisulfite sequencing analysis). Analyze your RNA-seq and small RNA (miRNA, lncRNA) data with easy-to-use transcriptomics workflows for differential expression analysis at gene and transcript levels. QIAGEN CLC Genomics Workbench is developed to support a wide range of NGS bioinformatics applications. -
21
Platforma
MiLaboratories
Platforma is a no-code bioinformatics software that converts raw next-generation sequencing (NGS) data into insights. It offers a user-friendly interface with modular, no-code "blocks" for complex analysis tasks like immune repertoire, single-cell, and gene expression data. Building on the legacy of its predecessor, MiXCR, Platforma also enables AI-powered selection for antibody/TCR candidates. The platform is designed to be accessible to scientists without a bioinformatics background, allowing for scientists to take control of their own discoveries and reduce time to insight. -
22
Geneious
Geneious
Geneious Prime makes bioinformatics accessible by transforming raw data into visualizations that make sequence analysis intuitive and user-friendly. Simple sequence assembly and easy editing of contigs. Automatic annotation for gene prediction, motifs, translation, and variant calling. Genotype microsatellite traces with automated ladder fitting and peak calling and generates tables of alleles. Beautiful visualizations of annotated genomes and assemblies are displayed in a highly customizable sequence view. Powerful SNP variants analysis, simple RNA-Seq expression analysis, and amplicon metagenomics. Design and test PCR and sequencing primers and create your own searchable primer database. Geneious Biologics is a flexible, scalable, and secure way to streamline your antibody analysis workflows, create high-quality libraries and select the optimal therapeutic candidates.Starting Price: $1,280 per year -
23
Qlucore Omics Explorer
Qlucore
Qlucore Omics Explorer is so easy to use that you no longer have to depend on an expert in bioinformatics to explore and analyze your Omics and NGS data sets. Qlucore Omics Explorer is a D.I.Y next-generation bioinformatics software for research in life science, plant- and biotech industries, as well as academia. The powerful and flexible visualization-based data analysis tool with inbuilt powerful statistics delivers immediate results and provides instant exploration and visualization of big data. The software is developed to allow the workflow which best suits you and your experiments and maximizes the outcome of your research. By combining instant visualization with powerful statistics and flexible selection methods, you will be able to see your results immediately. As a user, you decide your own workflow and starting point. You are in control and can tailor the exploration to meet your specific needs. -
24
Ozette
Ozette
Our immune system drives our most important biological processes. It protects us from sickness and disease by defending against outside invaders like pathogens and keeping our internal systems in equilibrium. No two of us share exactly the same immune makeup, and each of our systems is constantly evolving. Mapping and studying this complexity in great detail unlock the insights that accelerate research and derive better therapies for all. For too long, single-cell data analysis has lagged behind the technology that generates these data. That’s because the standard manual workflows, limited in resolution and speed, only allow for a small amount of cellular information to be seen. Advances in medicine are driving us more and more toward highly targeted treatments, with many therapies at the forefront being constructed from the patient’s own immune cells. Our AI-driven computational analysis technology unlocks insights to discover therapies and advance their development. -
25
BenevolentAI
BenevolentAI
BenevolentAI is an AI-enabled drug discovery platform and scientific technology company that unites advanced artificial intelligence, machine learning, and domain-specific science to accelerate the discovery, design, and development of new medicines for complex diseases by making sense of vast, diverse biomedical data and generating actionable scientific insights faster than traditional methods. Its proprietary Benevolent Platform ingests and harmonizes structured and unstructured biomedical information, including literature, genomics, clinical information, and multi-omics data, into a comprehensive knowledge graph, enabling scientists to reason across biological systems, generate hypotheses, predict novel drug targets, and design candidate molecules with higher confidence and lower failure rates. -
26
Bioconductor
Bioconductor
The Bioconductor project aims to develop and share open source software for precise and repeatable analysis of biological data. We foster an inclusive and collaborative community of developers and data scientists. Resources to maximize the potential of Bioconductor. From basic functionalities to advanced features, our tutorials, guides, and documentation have you covered. Bioconductor uses the R statistical programming language and is open source and open development. It has two releases each year and an active user community. Bioconductor provides Docker images for every release and provides support for Bioconductor use in AnVIL. Founded in 2001, Bioconductor is an open-source software project widely used in bioinformatics and biomedical research. It hosts over 2,000 R packages contributed by over 1,000 developers, with over 40 million downloads per year. Bioconductor has been cited in more than 60,000 scientific publications.Starting Price: Free -
27
StarDrop
Optibrium
With its comprehensive suite of integrated software, StarDrop™ delivers best-in-class in silico technologies within a highly visual and user-friendly interface. StarDrop™ enables a seamless flow from the latest data through predictive modeling to decision-making regarding the next round of synthesis and research, improving the speed, efficiency, and productivity of the discovery process. Successful compounds require a balance of many different properties. StarDrop™ guides you through this multi-parameter optimization challenge to target compounds with the best chance of success, saving you time and resources by enabling you to synthesize and test fewer compounds. -
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BIOVIA Discovery Studio
Dassault Systèmes
Today’s biopharmaceutical industry is marked by complexity: growing market demands for improved specificity and safety, novel treatment classes and more intricate mechanisms of disease. Keeping up with this complexity requires a deeper understanding of therapeutic behavior. Modeling and simulation methods provide a unique means to explore biological and physicochemical processes down to the atomic level. This can guide physical experimentation, accelerating the discovery and development process. BIOVIA Discovery Studio brings together over 30 years of peer-reviewed research and world-class in silico techniques such as molecular mechanics, free energy calculations, biotherapeutics developability and more into a common environment. It provides researchers with a complete toolset to explore the nuances of protein chemistry and catalyze discovery of small and large molecule therapeutics from Target ID to Lead Optimization. -
29
Cufflinks
Cole Trapnell
Cufflinks assemble transcripts, estimate their abundances and test for differential expression and regulation in RNA-Seq samples. It accepts aligned RNA-Seq reads and assembles the alignments into a parsimonious set of transcripts. Cufflinks then estimates the relative abundances of these transcripts based on how many reads support each one, taking into account biases in library preparation protocols. Cufflinks was originally developed as part of a collaborative effort between the Laboratory for Mathematical and Computational Biology. In order to make it easy to install Cufflinks, we provide a few binary packages to save users from the occasionally frustrating process of building Cufflinks, which requires that you install the libraries. Cufflinks includes a number of tools for analyzing RNA-Seq experiments. Some of these tools can be run on their own, while others are pieces of a larger workflow.Starting Price: Free -
30
Edison Analysis
Edison Scientific
Edison Analysis is a next-generation scientific data-analysis agent built by Edison Scientific. It is the analytical engine underpinning their AI Scientist platform, Kosmos, and it’s available both on Edison’s platform and via API. Edison Analysis performs complex scientific data analysis by iteratively building and updating Jupyter notebooks in a dedicated environment; given a dataset plus a prompt, the agent explores, analyzes, and interprets the data to provide comprehensive insights, reports, and visualizations, very much like a human scientist. It supports execution of Python, R, and Bash code, and includes a full suite of common scientific-analysis packages in a Docker environment. Because all work is done within a notebook, the reasoning is fully transparent and auditable; users can inspect exactly how data was manipulated, which parameters were chosen, how conclusions were drawn, and can download the notebook and associated assets at any time.Starting Price: $50 per month -
31
ROSALIND
ROSALIND
Generate greater return on research and improve team productivity. Extend private and public data across teams with interactive data visualization. Rosalind is the only multi-tenant SaaS platform designed for scientists. Analyze, interpret, share, plan, validate, and generate new hypotheses. Code-free visualization, AI-powered interpretation, best-in-class collaboration. Scientists of every skill level can benefit from ROSALIND since no programming or bioinformatics skills are required. With powerful downstream analysis and collaboration, ROSALIND is a discovery platform and data hub connecting experiment design, quality control, and pathway exploration. ROSALIND automatically manages tens of thousands of compute cores and petabytes of storage to dynamically scale up and down for every experiment to deliver results. Instantly share results with other scientists across the globe with audit tracking so everyone can focus on the interpretation, not the processing.Starting Price: $3,250 per month -
32
Pluto
Pluto Biosciences
Since its founding in 2021 from the Wyss Institute at Harvard University, Pluto has become a trusted partner of life sciences organizations around the country ranging from biotech start-ups to public biopharma companies. Our cloud-based platform gives scientists the ability to manage all of their data, run bioinformatics analyses, and create interactive and publication-quality visualizations. The platform is currently being used for a wide variety of biological applications, from preclinical / translational science research, to cell and gene therapies, drug discovery and development, to clinical research. -
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SOPHiA GENETICS
SOPHiA GENETICS
Our global data-sharing network generates clinically actionable insights from data to improve patient outcomes worldwide. SOPHiA GENETICS’ mission is to build the future of AI-assisted medicine. We are integrating multimodal healthcare-omics data, unlocking the existing data silos, and developing machine learning models to produce actionable insights that could eventually support healthcare professionals to improve patient outcomes. The revamped interface, new features, and cutting-edge capabilities are set to further accelerate precision medicine workflows, bringing us another step closer to democratizing data-driven medicine. Powered by AI and machine learning (ML), our global cloud-based platform provides a safe, secure, and instantly accessible environment to standardize, compute, and analyze digital health data, generating insights from complex multimodal data sets that have the potential to improve diagnosis, therapy selection, analysis, and drug development. -
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Chemaxon Design Hub
Chemaxon
A platform that connects scientific rationale, compound design, and computational resources. Chemaxon’s Design Hub for medicinal chemistry from analysis to prioritize ideas. Design Compounds and manage ideas within one platform. A single platform that connects scientific rationale, compound design, and computational resources. Switch from PowerPoint files to graphical and chemically searchable hypotheses that are an integral part of the compound design process. Easily work with your trusted phys-chem properties, computational models, novelty issues, or purchasable compound catalogs in a rich visual environment. Involve your CROs in the compound progression process using this secure online service. Analyze collected evidence from biological assays or experimental structural information, extract SAR, and make new hypotheses for the next optimization iteration. Store your scientific hypotheses in a “designer's ELN” (chemically aware drawing canvases). -
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StrandOmics
Strand Life Sciences
Efficient reporting of NGS-based clinical tests requires a robust and mature platform for automatic variant prioritization, clinical interpretation and report generation. Strand Omics is a fast, HIPAA-compliant cloud-based platform that drives our clinical diagnostics practice. It has been honed over 4 years and over 10,000 clinical reports and multiple peer-reviewed publications. Strand Omics combines bioinformatics algorithms, curated databases, visualization interfaces and reporting capabilities. It has specialized workflows for both rare inherited disorders as well as somatic tumor profiling tests. The platform contains over 10,000 somatic variants curated for oncogenicity, 100 genes curated for druggability in multiple cancer types and 500 drugs curated for evidence in multiple cancer types. -
36
Emedgene
Illumina
Emedgene streamlines your tertiary analysis workflows for rare disease genomics and other germline research applications. Emedgene is designed to accelerate the time and certainty in user-defined variant interpretation, prioritization, curation, and research report generation. Enable greater efficiency from your tertiary analysis workflows with explainable AI (XAI) and automation supporting genomes, exomes, virtual panels, and targeted panels. Unify your laboratory and NGS instrumentation with your IT systems to simplify and secure your complete workflow. Confidently keep pace with evolving science, technology, and demand with up-to-date knowledge graph options, curation capabilities, and a team of experts to support your journey. Increase throughput without increasing headcount using explainable AI (XAI) and automated workflows. Implement a high throughput WGS, WES, virtual panel, or targeted panel workflow that is integrated into your lab's digital ecosystem. -
37
VSClinical
Golden Helix
VSClinical allows for the clinical interpretation of variants based on ACMG & AMP guidelines. The VSClinical guided workflow enables following the American College of Medical Genetics (ACMG) guidelines used to identify and classify causal variants for inherited disease risk, cancer predisposition, and the diagnosis of rare diseases. The ACMG/AMP joint guidelines for variant interpretation provide a set of criteria to score variants and place them into one of five classification tiers. Following the guidelines requires deep diving into the annotations, genomic context, and existing clinical assertions about every variant. VSClinical provides a tailored workflow to score each relevant criterion while also providing all the bioinformatic, literature and evidence from clinical knowledgebases to assist in the scoring and interpretation process. VSClinical is designed to allow variant scientists to efficiently process variants. -
38
Edison Scientific
Edison Scientific
Edison Scientific is an AI platform designed to automate and accelerate scientific research, enabling users to move from hypothesis to validated results within a single environment. The platform integrates literature synthesis, data analysis, and molecular design workflows, allowing research teams to complete end-to-end scientific investigations at dramatically increased speed. At its core is Kosmos, an autonomous research system that performs hundreds of research tasks in parallel, transforming multimodal datasets into comprehensive reports with validated findings and publication-ready figures. Kosmos synthesizes scientific literature, public databases, and proprietary datasets, identifies novel therapeutic targets, uncovers biological mechanisms, and supports the iterative design and optimization of molecular candidates. Validated in real research settings, Kosmos has demonstrated the ability to achieve results that typically require months of human effort in a single day.Starting Price: $50 per month -
39
GenomiX
VE3 Global
GenomiX is a unified analytics platform built to manage the complexity of modern genomics research and clinical workflows. It supports large-scale sequencing data, integrates fragmented systems like LIMS and EHRs, and enables multi-omics analysis across DNA, RNA, and epigenetics. With its cloud-agnostic, container-native architecture, GenomiX ensures flexibility, compliance, and scalability for both research and healthcare environments. The platform streamlines workflows with support for popular engines like Nextflow, WDL, and Snakemake, while offering preconfigured bioinformatics pipelines. Advanced AI and ML integrations accelerate clinical interpretation and research insights. GenomiX also prioritizes security, ensuring GDPR, HIPAA, and NHS compliance while facilitating collaboration across institutions. -
40
Genome Analysis Toolkit (GATK)
Broad Institute
Developed in the Data Sciences Platform at the Broad Institute, the toolkit offers a wide variety of tools with a primary focus on variant discovery and genotyping. Its powerful processing engine and high-performance computing features make it capable of taking on projects of any size. The GATK is the industry standard for identifying SNPs and indels in germline DNA and RNAseq data. Its scope is now expanding to include somatic short variant calling and to tackle copy number (CNV) and structural variation (SV). In addition to the variant callers themselves, the GATK also includes many utilities to perform related tasks such as processing and quality control of high-throughput sequencing data and bundles the popular Picard toolkit. These tools were primarily designed to process exomes and whole genomes generated with Illumina sequencing technology, but they can be adapted to handle a variety of other technologies and experimental designs.Starting Price: Free -
41
VarSeq
Golden Helix
Simple, fast, and repeatable variant analysis software for gene panels, exomes, and whole genomes. VarSeq is an intuitive, integrated software solution for tertiary analysis. With VarSeq you can automate your workflows and analyze variants for gene panels, exomes, and whole genomes. Understanding genomic data has never been easier thanks to our software. VarSeq software provides a powerful filtering and annotation engine to sift through large variant data sets. Using a chain of filters, you can quickly narrow your list of variants down to those that are most likely to be of interest. After determining the parameters that work well for your analysis, you can save the state of your filters so that you can easily apply the same analysis to another dataset. The same automated workflow can be used for each batch of samples, making VarSeq an ideal solution for high-throughput environments. Real-time filtering gives you the power to quickly prototype and tune analysis workflows. -
42
Genomenon
Genomenon
Pharma companies need comprehensive genomic information to drive successful precision medicine programs, but decisions are often made using only a fraction of the data available, about 10%. Genomenon delivers 100% of the data. An efficient and cost-effective natural history research solution for pharma, ProdigyTM Patient Landscapes support the development of rare disease therapies by enhancing insights contained in retrospective and prospective health data. Using a powerful AI-driven approach, Genomenon delivers a comprehensive and expert assessment of every patient in the published medical literature, in a fraction of the time. Don’t miss anything, get insight into every genomic biomarker published in the medical literature. Every scientific assertion is supported by empirical evidence from the medical literature. Identify all genetic drivers and pinpoint which variants are known to be pathogenic according to ACMG clinical standards. -
43
Congenica
Congenica
We drive precision medicine and help reduce the burden on healthcare systems by delivering automated analysis, diagnosis, and treatment solutions to healthcare providers and patients worldwide. Congenica was founded on pioneering work at the Wellcome Sanger Institute and the UK NHS. Our products combine state-of-the-art technology, market-leading automation, and AI to enable our uniquely differentiated platform to be employed in all areas of human disease where genomic information is key to unlocking actionable insights. We are a digital health company providing software and solutions for the analysis and interpretation of genomic data at scale. Full automation with powerful APIs and ML to reduce the burden on specialist staff, maximize case throughput, accelerate decision-making, and streamline reporting. Certified, accurate, and secure analysis platform to support clinical decisions with the highest degree of confidence in the clinical outcome. -
44
MEGA
MEGA
MEGA (Molecular Evolutionary Genetics Analysis) is a powerful and user-friendly software suite designed for analyzing DNA and protein sequence data from species and populations. It facilitates both automatic and manual sequence alignment, phylogenetic tree inference, and evolutionary hypothesis testing. MEGA supports a variety of statistical methods including maximum likelihood, Bayesian inference, and ordinary least squares, making it an essential tool for comparative sequence analysis and understanding molecular evolution. MEGA offers advanced features such as real-time caption generation to help explain the results and methods used in analysis and the maximum composite likelihood method for estimating evolutionary distances. The software is equipped with robust visual tools like the alignment/trace editor and tree explorer and supports multi-threading for efficient processing. MEGA can be run on multiple operating systems, including Windows, Linux, and macOS.Starting Price: Free -
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Geneyx
Geneyx
Geneyx Analysis is a comprehensive solution for next-generation sequencing (NGS) data that can scale the process of FASTQ to clinical reports for hospital and commercial labs. This advanced platform integrates machine learning and AI-based features to identify novel biomedical insights, while also improving diagnostic yields and turnaround times. By providing a fully transparent and intuitive solution, Geneyx Analysis enables clinicians and researchers to have complete control over data analysis and alleviates the complexities of regulating in-house bioinformatics pipelines. Protocols can be fully customized to accommodate gene panels, exomes, and genomes, and our comprehensive annotation engine supports the analysis of all genetic variants including structural and copy number variations as well as regulatory elements. Together, Geneyx Analysis automates the diagnostic process from sequencer to report, while creating a comprehensive resource for novel variant discovery. -
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HyperProtein
Hypercube
HyperProtein is Hypercube, Inc.'s new product focusing on the computational science associated with protein sequences. The product includes the analysis of one-dimensional protein sequences as well as the analysis of consequent three-dimensional protein structures. In particular, the relationship between sequence and structure is a fundamental facet of the product. Unlike individual software programs that provide capability for some aspect of protein sequence or structure, such as sequence alignment, HyperProtein puts together a multitude of Bioinformatics and Molecular Modeling tools related to the science that initiates with a protein sequence. -
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Reshape
Reshape
Reshape Biotech delivers a robotics-and-AI-powered automation platform for microbiology laboratories that transforms manual plate-based assays into scalable, data-rich, reproducible workflows. Its core products, including a “Smart Incubator,” a high-throughput imaging device, and a cloud-based “Discovery Platform,” automatically capture high-resolution images of Petri dishes or microtiter plates during incubation, then upload them to the cloud for real-time AI analysis. It can accurately process colony counting, radial growth, fluorescence, turbidity, color assays, seed-germination phenotypes, antagonistic assays, and other microbial or cell-based readouts, eliminating time-consuming manual observation and reducing errors. By storing every experiment and dataset in a unified, searchable workspace, Reshape enables teams to compare results across experiments, collaborate across labs, and ensure standardization and reproducibility regardless of scale. -
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DNAnexus Apollo
DNAnexus
DNAnexus Apollo™ accelerates precision drug discovery by unlocking the power of collaboration to draw critical insights from omics data. Precision drug discovery requires collecting and analyzing huge volumes of omics and clinical data. These datasets are incredibly rich resources, but most legacy and home-grown informatics tools can't cope with their size and complexity. Precision medicine programs can also be hampered by siloed data sources, underpowered collaboration tools, and the burden of complex and always changing regulatory and security requirements. DNAnexus Apollo™ supports precision drug discovery programs by empowering scientists and clinicians to explore and analyze omics and clinical data together, in a single environment, built on a robust, scalable cloud platform. Apollo lets them share data, tools, and analyses easily and securely with peers and collaborators everywhere - whether they're on another floor, or another continent. -
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Recursion
Recursion
Recursion is a TechBio company focused on transforming drug discovery by combining biology, data, and artificial intelligence. Founded over a decade ago, the company pioneered the use of large-scale cellular imaging to train AI models that decode the biological drivers of disease. Recursion’s mission is to deliver better medicines through novel insights and precision design, reducing the high failure rates of traditional drug development. Its proprietary Recursion OS platform integrates massive biological datasets with machine learning to accelerate discovery from target identification to clinical development. The company has built an advanced pipeline of potential first-in-class and best-in-class therapies targeting aggressive cancers and rare diseases. Automated wet labs and robotics enable millions of experiments per week, feeding continuous learning into its AI models. -
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Alchemite
Intellegens
Alchemite provides AI-augmented physical modeling and solutions that help organizations extract actionable insights from experimental and simulation data by combining machine learning with physics-informed models to improve prediction accuracy, reduce experimental costs, and optimize product and process development. Its solutions span materials discovery and design, predictive modelling of performance and reliability, multiscale modelling that connects atomistic to macroscopic behaviour, and automation of workflow tasks such as data integration, surrogate modelling, and model validation. It supports physics-aware neural networks and hybrid modelling approaches that respect underlying scientific laws while learning from data to enable faster and more accurate simulations, reduced reliance on expensive physical testing, and improved decision-making. Intellegens’ tools are applied in areas such as battery performance prediction, chemical process optimization, etc.
