ruffus Alternatives

Stop wresting with cloud infrastructure and broken informatics tools. Start discovering biological insights today. Scientific discovery is bottlenecked by the fragmentation of tooling across biology and bioinformatics teams. We built a harmonized bioinformatics platform between wet lab and dry lab in the cloud to help teams accelerate their R&D. Import raw data from your cloud, your service provider, or your team's instruments. Develop and deploy custom bioinformatics workflows in any language. Stop wrestling with your infrastructure. Easily run any workflow and keep a log of every analysis. Ready-to-go interactive visualizations for NGS data with point-and-click plots. Latch supports integration with your organization’s AWS S3. Access hundreds of terabytes of data in an organic filesystem you are familiar with. Define bioinformatics workflows and dynamically generate no-code interfaces using Python with tunable compute and storage.

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.

Avogadro is an advanced molecule editor and visualizer designed for cross-platform use in computational chemistry, molecular modeling, bioinformatics, materials science, and related areas. It offers flexible high quality rendering and a powerful plugin architecture. Avogadro is a free, open-source molecular editor and visualization tool, designed for use on Mac, Windows, and Linux in computational chemistry, molecular modeling, bioinformatics, materials science, and related areas. It offers flexible high quality rendering and a powerful plugin architecture.

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.

Instead of managing your own data centers, take advantage of Microsoft's scale and experience in running exabyte-scale workloads. Because Microsoft Genomics is on Azure, you have the performance and scalability of a world-class supercomputing center, on demand in the cloud. Take advantage of a backend network with MPI latency under three microseconds and non-blocking 32 gigabits per second (Gbps) throughput. This backend network includes remote direct memory access technology that enables parallel applications to scale to thousands of cores. Azure provides you with high memory and HPC-class CPUs to help you get results fast. Scale up and down based on what you need and pay only for what you use to reduce costs. Tackle data sovereignty requirements with a worldwide network of Azure data centers and adhere to your compliance requirements. Easily integrate into your existing pipeline code using a REST-based API and simple Python client.

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.

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. Powerful CRISPR tools make it easy to find sites, design guide RNAs, and analyze your editing results. Accurate downstream analysis with extensive NGS pre-processing tools producing clean sequence data. Build phylogenetic trees using peer-reviewed algorithms.

Eidogen-Sertanty's Target Informatics Platform (TIP) is the world's first structural informatics system and knowledgebase that enables researchers with the ability to interrogate the druggable genome from a structural perspective. TIP amplifies the rapidly expanding body of experimental protein structure information and transforms structure-based drug discovery from a low-throughput, data-scarce discipline into a high-throughput, data-rich science. Designed to help bridge the knowledge gap between bioinformatics and cheminformatics, TIP supplies drug discovery researchers with a knowledge base of information that is both distinct from and highly complementary to information furnished by existing bio- and cheminformatics platforms. TIP's seamless integration of structural data management technology with unique target-to-lead calculation and analysis capabilities enhances all stages of the discovery pipeline.

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.

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.

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.

Universal Analysis Software (UAS) provides a platform for analyzing and managing forensic genomic data, simplifying complex bioinformatics. The UAS is an all-inclusive solution, containing analysis modules supporting all current ForenSeq workflows including ForenSeq MainstAY, ForenSeq Kintelligence, ForenSeq DNA Signature Prep, ForenSeq mtDNA Whole Genome, and ForenSeq mtDNA Control Region. UAS rapidly generates FASTQ files, performs alignment, and calls forensically relevant variants from NGS data. Extensive testing backs highly reliable variant calls to deliver accurate results in a user-friendly package with no per-seat licenses. Designed specifically for forensic analysts, UAS streamlines handling of base-by-base sequence information and contains a range of features to enable everything from efficient review of everyday STR profiles to detailed analysis of the most challenging samples.

L7 Enterprise Science Platform (L7|ESP®) is a unified platform that contextualizes data and eliminates business silos via process orchestration. It's a comprehensive solution that facilitates the digitalization of data and scientific processes in life sciences organizations. L7|ESP has native applications, including L7 LIMS, L7 Notebooks, L7 MES, L7 Scheduling, and more. It can integrate with existing third-party applications, lab instruments, and devices to capture all data in a single data model. It has a low-code/no-code workflow designer and hundreds of pre-built connectors to enable rapid time-to-value and end-to-end automation. By leveraging a single data model, L7|ESP enables advanced bioinformatics, AI, and ML to offer novel scientific and operational insights. L7|ESP addresses data and lab management needs in life sciences, particularly in: ● Research and Diagnostics ● Pharma and CDMO ● Clinical Sample Management Resource Center: l7informatics dot com/resource-center

Data management and simplified bioinformatics for labs getting started and for rapidly scaling next-generation sequencing (NGS) operations. As a key component of the BaseSpace Suite, BaseSpace Sequence Hub is a direct extension of your Illumina instruments. Encrypted data flow from the instrument into BaseSpace Sequence Hub, enabling you to manage and analyze your data easily with a curated set of analysis apps. BaseSpace Sequence Hub is powered by Amazon Web Services (AWS). Offers a security-first environment. Enables you to set up runs and monitor instrument run quality. Promotes efficiency by converting sequencing data to a standard format and streaming directly to the cloud. Provides access to computing resources without the capital expenditure of in-house infrastructure. Increases organizational productivity with easy access to a multitude of genomic analysis apps (provided by you, Illumina, or third parties).

It provides a familiar, non-XML syntax that compiles into Python modules for maximum performance. Mako's syntax and API borrows from the best ideas of many others, including Django and Jinja2 templates, Cheetah, Myghty, and Genshi. Conceptually, Mako is an embedded Python (i.e. Python Server Page) language, which refines the familiar ideas of componentized layout and inheritance to produce one of the most straightforward and flexible models available, while also maintaining close ties to Python calling and scoping semantics. As templates are ultimately compiled into Python bytecode, Mako's approach is extremely efficient and was originally written to be just as fast as Cheetah. Today, Mako is very close in speed to Jinja2, which uses a similar approach and for which Mako was an inspiration. Can access variables from their enclosing scope as well as the template's request context

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.

Imageio is a Python library that provides an easy interface to read and write a wide range of image data, including animated images, volumetric data, and scientific formats. It is cross-platform, runs on Python 3.5+, and is easy to install. Imageio is written in pure Python, so installation is easy. Imageio works on Python 3.5+. It also works on Pypy. Imageio depends on Numpy and Pillow. For some formats, imageio needs additional libraries/executables (e.g. ffmpeg), which imageio helps you to download/install. If something doesn’t work as it should, you need to know where to search for causes. The overview on this page aims to help you in this regard by giving you an idea of how things work, and - hence - where things may go sideways.

Pygame is a set of Python modules designed for writing video games. Pygame adds functionality on top of the excellent SDL library. This allows you to create fully featured games and multimedia programs in the python language. Pygame is highly portable and runs on nearly every platform and operating system. Pygame is free. Released under the LGPL license, you can create open-source, freeware, shareware, and commercial games with it. With dual-core CPUs common, and 8-core CPUs cheaply available on desktop systems, making use of multi-core CPUs allows you to do more in your game. Selected pygame functions release the dreaded python GIL, which is something you can do from C code. Uses optimized C and assembly code for core functions. C code is often 10-20 times faster than python code, and assembly code can easily be 100x or more times faster than python code. Comes with many operating systems. Just an apt-get, emerge, pkg_add, or just install away.

Fast and versatile, the NumPy vectorization, indexing, and broadcasting concepts are the de-facto standards of array computing today. NumPy offers comprehensive mathematical functions, random number generators, linear algebra routines, Fourier transforms, and more. NumPy supports a wide range of hardware and computing platforms, and plays well with distributed, GPU, and sparse array libraries. The core of NumPy is well-optimized C code. Enjoy the flexibility of Python with the speed of compiled code. NumPy’s high level syntax makes it accessible and productive for programmers from any background or experience level. NumPy brings the computational power of languages like C and Fortran to Python, a language much easier to learn and use. With this power comes simplicity: a solution in NumPy is often clear and elegant.

statsmodels is a Python module that provides classes and functions for the estimation of many different statistical models, as well as for conducting statistical tests and statistical data exploration. An extensive list of result statistics is available for each estimator. The results are tested against existing statistical packages to ensure that they are correct. The package is released under the open-source Modified BSD (3-clause) license. statsmodels supports specifying models using R-style formulas and pandas DataFrames. Have a look at dir(results) to see available results. Attributes are described in results.__doc__ and results methods have their own docstrings. You can also use numpy arrays instead of formulas. The easiest way to install statsmodels is to install it as part of the Anaconda distribution, a cross-platform distribution for data analysis and scientific computing. This is the recommended installation method for most users.

pandas is a fast, powerful, flexible and easy to use open source data analysis and manipulation tool, built on top of the Python programming language. Tools for reading and writing data between in-memory data structures and different formats: CSV and text files, Microsoft Excel, SQL databases, and the fast HDF5 format. Intelligent data alignment and integrated handling of missing data: gain automatic label-based alignment in computations and easily manipulate messy data into an orderly form.Aggregating or transforming data with a powerful group by engine allowing split-apply-combine operations on data sets. Time series-functionality: date range generation and frequency conversion, moving window statistics, date shifting and lagging. Even create domain-specific time offsets and join time series without losing data.

CVXOPT is a free software package for convex optimization based on the Python programming language. It can be used with the interactive Python interpreter, on the command line by executing Python scripts, or integrated in other software via Python extension modules. Its main purpose is to make the development of software for convex optimization applications straightforward by building on Python’s extensive standard library and on the strengths of Python as a high-level programming language. Efficient Python classes for dense and sparse matrices (real and complex), with Python indexing and slicing and overloaded operations for matrix arithmetic. Interfaces to the linear programming solver in GLPK, the semidefinite programming solver in DSDP5, and the linear, quadratic and second-order cone programming solvers in MOSEK.

Dash & Dash Enterprise let you build & deploy analytic web apps using Python, R, and Julia. No JavaScript or DevOps required. Through Dash, the world's largest companies elevate AI, ML, and Python analytics to business users at 5% the cost of a full-stack development approach. Deliver apps and dashboards that run advanced analytics: ML, NLP, forecasting, computer vision and more. Work in the languages you love: Python, R, and Julia. Reduce costs by migrating legacy, per-seat licensed software to Dash Enterprise's open-core, unlimited end-user pricing model. Move faster by deploying and updating Dash apps without an IT or DevOps team. Create pixel-perfect dashboards & web apps, without writing any CSS. Scale effortlessly with Kubernetes. Support mission-critical Python applications with high availability.

This package is intended to be independently reusable in any Python project. It is maintained by the Zope Toolkit project. This package provides an implementation of “object interfaces” for Python. Interfaces are a mechanism for labeling objects as conforming to a given API or contract. So, this package can be considered as an implementation of the Design By Contract methodology support in Python. Interfaces are objects that specify (document) the external behavior of objects that “provide” them. An interface specifies behavior through informal documentation in a doc string, attribute definitions, and invariants, which are conditions that must hold for objects that provide the interface. Attribute definitions specify specific attributes. They define the attribute name and provide documentation and constraints of attribute values. Attribute definitions can take a number of forms.

Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python. Matplotlib makes easy things easy and hard things possible. A large number of third party packages extend and build on Matplotlib functionality, including several higher-level plotting interfaces (seaborn, HoloViews, ggplot, ...), and a projection and mapping toolkit (Cartopy).

g6gTech, Inc. is a software development company that creates in-depth search products in the bioinformatics and artificial intelligence (AI) fields. We have recently changed our name from the G6G Consulting Group to emphasize our focus on creating products. Powered by semantic annotation, the new G6GFINDR System searches an expanding database of bioinformatics and artificial intelligence software using a two-step process that allows you to fine tune your search. The system used the previously developed Directory of Omics and Intelligent Software as a core starting point. We will be expanding the database of searched products at an accelerating rate. All products in the database have been carefully curated. The G6GFINDR System uses cookies to automatically collect information about your activities to optimize results. The G6GFINDR System is created by g6gTech, Inc.

Swiss-PdbViewer (aka DeepView) is an application that provides a user-friendly interface allowing to analysis of several proteins at the same time. The proteins can be superimposed in order to deduce structural alignments and compare their active sites or any other relevant parts. Amino acid mutations, H-bonds, angles, and distances between atoms are easy to obtain thanks to the intuitive graphic and menu interface. Swiss-PdbViewer (aka DeepView) has been developed since 1994 by Nicolas Guex. Swiss-PdbViewer was initially tightly linked to SWISS-MODEL, an automated homology modeling server developed within the Swiss Institute of Bioinformatics (SIB) at the Structural Bioinformatics Group at the Biozentrum in Basel. However, the SWISS-MODEL web interface evolved to a point where it is now possible to use it directly for advanced modeling. Maintaining a direct interface with Swiss-PdbViewer is too complex and no longer supported.

All URL parts, scheme, user, password, host, port, path, query, and fragment are accessible by properties. All URL manipulations produce a new URL object. Strings passed to constructor and modification methods are automatically encoded giving canonical representation as result. Regular properties are percent-decoded, use raw_ versions for getting encoded strings. Human-readable representation of URL is available as .human_repr(). PyPI contains binary wheels for Linux, Windows and MacOS. If you want to install yarl on another operating system (like Alpine Linux, which is not manylinux-compliant because of the missing glibc and therefore, cannot be used with our wheels) the tarball will be used to compile the library from the source code. It requires a C compiler and Python headers installed. Please note that the pure-Python (uncompiled) version is much slower. However, PyPy always uses a pure-Python implementation, and, as such, it is unaffected by this variable.

python-docx is a Python library for creating and updating Microsoft Word (.docx) files. Paragraphs are fundamental in Word. They’re used for body text, but also for headings and list items like bullets. You’re free to specify both width and height, but usually, you wouldn’t want to. If you specify only one, python-docx uses it to calculate the properly scaled value of the other. This way the aspect ratio is preserved and your picture doesn’t look stretched. If you don’t know what a Word paragraph style is you should definitely check it out. Basically, it allows you to apply a whole set of formatting options to a paragraph at once. python-docx allows you to create new documents as well as make changes to existing ones. Actually, it only lets you make changes to existing documents; it’s just that if you start with a document that doesn’t have any content, it might feel at first like you’re creating one from scratch.

Founded to improve lives with high-value care, hc1 has emerged as the leader in bioinformatics for precision testing and prescribing. The cloud-based hc1 High-Value Care Platform® organizes volumes of live data, including lab results, genomics, and medications, to deliver solutions that ensure that the right patient gets the right test and the right prescription. Today, the hc1 Platform powers solutions that optimize diagnostic testing and prescribing for millions of patients nationally. To learn more about hc1's proven approach to personalizing care while eliminating waste for thousands of health systems, diagnostic laboratories, and health plans, visit www.hc1.com.

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 research

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.

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.

The h5py package is a Pythonic interface to the HDF5 binary data format. It lets you store huge amounts of numerical data, and easily manipulate that data from NumPy. For example, you can slice into multi-terabyte datasets stored on disk, as if they were real NumPy arrays. Thousands of datasets can be stored in a single file, categorized and tagged however you want. H5py uses straightforward NumPy and Python metaphors, like dictionary and NumPy array syntax. For example, you can iterate over datasets in a file, or check out the .shape or .dtype attributes of datasets. You don't need to know anything special about HDF5 to get started. In addition to the easy-to-use high level interface, h5py rests on a object-oriented Cython wrapping of the HDF5 C API. Almost anything you can do from C in HDF5, you can do from h5py.

PyQtGraph is a pure-python graphics and GUI library built on PyQt/PySide and NumPy. It is intended for use in mathematics/scientific/engineering applications. Despite being written entirely in python, the library is very fast due to its heavy leverage of NumPy for number crunching and Qt's GraphicsView framework for fast display. PyQtGraph is distributed under the MIT open-source license. Basic 2D plotting in interactive view boxes. Line and scatter plots. Data can be panned/scaled by mouse. Fast drawing for real-time data display and interaction. Displays most data types (int or float; any bit depth; RGB, RGBA, or luminance). Functions for slicing multidimensional images at arbitrary angles (great for MRI data). Rapid update for video display or real-time interaction. Image display with interactive lookup tables and level control. Mesh rendering with isosurface generation. Interactive viewports rotate/zoom with mouse. Basic 3D scenegraph for easier programming.

Working alongside both our in-house chemists and biologists, and our clients, we build products that deliver outstanding performance and scientific understanding. Chemaxon's product portfolio offers out-of-the-box solutions for scientists, back-end tools for IT professionals, components to add extra functionality, and integrations to make our technology available from 3rd party software like Microsoft Excel or KNIME. Trusted by over one million active users, Chemaxon is renowned for industry-leading software supporting scientific discovery with calculation, search and drawing tools. Our applications are widely used in life sciences R&D and education. We work with a variety of industries, counting most major pharmaceutical companies among our clients. Our offices are located in Budapest, Basel, Boston and San Diego, with distributors around the world.

Legacy R&D software is a drain on scientific potential. It slows down R&D progress, scatters data across silos, and wipes out institutional knowledge. Benchling is the industry’s leading life sciences R&D cloud. Accelerate, measure, and forecast R&D – from discovery through bioprocessing – all in one place. A suite of seven natively unified applications that accelerate R&D at all levels. Codeless configuration, open integration, and dashboards tailored to your needs. Deep life science R&D and consulting expertise ensure ongoing success. Benchling is a unified R&D platform, so you spend less time entering and hunting for data, and more time working together to move your research forward. Scientists, managers, and executives can optimize R&D output with complete visibility into experimental context, program performance, and resource utilization.

At Metabolon, we offer the largest Level 1 library in the metabolomics industry. Our proprietary library has been built and curated over 20 years and contains over 5,400 entries. The vast majority of entries in our library are Level 1 attributing approximately 85% (~4,600 entries); however, some are Level 2 (approximately 15% accounting for around 800 entries) due to a lack of commercial standards available to qualify for Level 1. Metabolon delivers accurate, highly actionable insights for our clients’ scientific or clinical inquiries due to our unmatched library breadth and industry-leading annotation confidence levels. Metabolomics applies to a wide range of research, from soil health to food nutrition and preclinical research to clinical trials. Whether you’re searching for trends in a group or refining an individual’s treatment, metabolomics can help you find answers to important questions.

gTTS (Google Text-to-Speech), a Python library and CLI tool to interface with Google Translate's text-to-speech API. Write spoken mp3 data to a file, a file-like object (bytestring) for further audio manipulation, or stdout. Or simply pre-generate Google Translate TTS request URLs to feed to an external program. Customizable speech-specific sentence tokenizer that allows for unlimited lengths of text to be read, all while keeping proper intonation, abbreviations, decimals and more. Customizable text pre-processors which can, for example, provide pronunciation corrections.

Seaborn is a Python data visualization library based on matplotlib. It provides a high-level interface for drawing attractive and informative statistical graphics. For a brief introduction to the ideas behind the library, you can read the introductory notes or the paper. Visit the installation page to see how you can download the package and get started with it. You can browse the example gallery to see some of the things that you can do with seaborn, and then check out the tutorials or API reference to find out how. To see the code or report a bug, please visit the GitHub repository. General support questions are most at home on StackOverflow, which has a dedicated channel for seaborn.

Accuracy, speed, confidence. Introducing generative AI to commercial biopharma. Simplify the labor-intensive process of collecting, organizing, and inspecting vast amounts of complex data. Get straight to decision-critical insights with 100% confidence, every time. With our AI-powered data manipulation and verification platform, you'll never lose track of your workstreams again. Gather, refine, and check your data, all in one place. Search public and private databases by key drug characteristics. Segment drugs and trials by detailed patient profiles. Extract the data you need in plain English. Support your findings by linking answers back to their source. Focus your time and energy on synthesizing high-quality outputs from data rather than menially sifting through it. Our specialized LLMs enable researchers to perform asset scans 4.8x faster than by hand. We index over 38M scientific publications, conference abstracts, and clinical trials. All the data you need, when you need it.

Harness the power of biomedical data with Polly. The Polly Platform helps to scale batch jobs, workflows, coding environments and visualization applications. Polly allows resource pooling and provides optimal resource allocation based on your usage requirements and makes use of spot instances whenever possible. All this leads to optimization, efficiency, faster response time and lower costs for the resources. Get access to a dashboard to monitor resource usage and cost real time and minimize overhead of resource management by your IT team. Version control is integral to Polly’s infrastructure. Polly ensures version control for your workflows and analyses through a combination of dockers and interactive notebooks. We have built a mechanism that allows the data, code and the environment co-exist. This coupled with data storage on the cloud and the ability to share projects ensures reproducibility of every analysis you perform.

Visualize and analyze data generated on Illumina array platforms with GenomeStudio Software. This powerful solution supports the genotyping analysis of microarray data. Performance-optimized tools and a user-friendly graphical interface enable you to convert data into meaningful results quickly and easily. Analyze SNP and CNV data across 5 million markers and probes. Detect sample outliers. Analyze differentially expressed genes across different genomes. Profile miRNA expression. Combine mRNA and microRNA data in a single project. Detect cytosine methylation at single-base resolution. Identify methylation signatures across the entire genome. At Illumina, our goal is to apply innovative technologies to the analysis of genetic variation and function, making studies possible that were not even imaginable just a few years ago. It is mission critical for us to deliver innovative, flexible, and scalable solutions to meet the needs of our customers.

zdaemon is a Unix (Unix, Linux, Mac OS X) Python program that wraps commands to make them behave as proper daemons. zdaemon provides a script, zdaemon, that can be used to run other programs as POSIX (Unix) daemons. (Of course, it is only usable on POSIX-complient systems.) Using zdaemon requires specifying a number of options, which can be given in a configuration file, or as command-line options. It also accepts commands teling it what to do. Start a process as a daemon. Stop a running daemon process. Stop and then restart a program. Find out if the program is running. Send a signal to the daemon process. Reopen the transcript log. Commands can be given on a command line, or can be given using an interactive interpreter. We can specify a program name and command-line options in the program command. Note, however, that the command-line parsing is pretty primitive.

Parsel is a BSD-licensed Python library to extract and remove data from HTML and XML using XPath and CSS selectors, optionally combined with regular expressions. Create a selector object for the HTML or XML text that you want to parse. Then use CSS or XPath expressions to select elements. CSS is a language for applying styles to HTML documents. It defines selectors to associate those styles with specific HTML elements. XPath is a language for selecting nodes in XML documents, which can also be used with HTML. You can use either CSS or XPath. CSS is usually more readable, but some things can only be done with XPath. Being built atop lxml, parsel selectors support some EXSLT extensions and come with pre-registered namespaces to use in XPath expressions. Parsel selectors allow you to chain selectors, so most of the time you can just select by class using CSS and then switch to XPath when needed.

JavaScript UI library and framework for speeding up web development. JS Framework for cross-platform web Apps development 102 UI widgets and feature-rich CSS / HTML5 JavaScript controls. Save at least 3000+ development hours by using ready-made widgets and UI controls. Develop Web UI 30% faster. We have accumulated the best design ideas. We have meticulously considered UX of each Webix component for five conceptual designs. Our support service specialists know everything about our library and can help you solve any problem. We also have an official support forum where you can discuss issues with our developers. By using Webix JS framework you receive an elegant and lightweight code based on object-oriented programming concepts. Associate your project with jQuery JavaScript library, MVC frameworks AngularJS, React, Vue.js, Backbone.js, third party UI extensions.

Over the last years, high performance computing has become an affordable resource to many more researchers in the scientific community than ever before. The conjunction of quality open source software and commodity hardware strongly influenced the now widespread popularity of Beowulf class clusters and cluster of workstations. Among many parallel computational models, message-passing has proven to be an effective one. This paradigm is specially suited for (but not limited to) distributed memory architectures and is used in today’s most demanding scientific and engineering application related to modeling, simulation, design, and signal processing. However, portable message-passing parallel programming used to be a nightmare in the past because of the many incompatible options developers were faced to. Fortunately, this situation definitely changed after the MPI Forum released its standard specification.

Antiqueruby React Native Material Design UI Components is every app developer’s dream. That’s because the app template, which is attractive and is designed to save developers hours of work by providing them with stylish and clever UI and UX components to customise their apps. Created using Material Design and offering over 140+ screens for profiles, sign-ins and sign-ups, social media, navigation, and for much more..! It’s no wonder that React Native Material Design UI Components has become one of CodeCanyon’s bestsellers.

Unirest is a set of lightweight HTTP libraries available in multiple languages, built and maintained by Kong, who also maintains the open-source API Gateway Kong. To utilize Unirest for node.js install the npm module. You're probably wondering how using Unirest makes creating requests easier. Besides automatically supporting gzip, and parsing responses, you can start with basic examples. A request can be initiated by invoking the appropriate method on the Unirest object, then calling .end() to send the request. Alternatively, you can send the request directly by providing a callback along with the URL. Provides simple and easy-to-use methods for manipulating the request prior to being sent. This object is created when a Unirest method is invoked. This object contains methods that are chainable like other libraries such as jQuery and popular request module Superagent (which this library is modeled after slightly).

As the name suggests, Hope UI is the revolutionary admin dashboard built with the developer's aspirations and needs in the first place. Hope UI Laravel Admin Dashboard Template and UI component set is designed with a modular component structure to help design and launch web applications in the fastest way possible. Being able to develop lightweight web applications and admin panels, Hope UI Admin Template comes with a Live Customizer to cut down on development time and coding hours. The Hope UI Bootstrap Admin Dashboard brings the future of admin UI to power your present and future development. Hope UI is available in 8 different technologies which are Bootstrap, Vue JS, React JS, Laravel, CodeIgniter, Figma, XD and Sketch UI Kit and more versions like Tailwind, Angular, React Native, etc are in the roadmap.