Search Results for "genomics"
Sort By:
17 projects for "genomics" with 1 filter applied:
-
Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
-
Fully Managed MySQL, PostgreSQL, and SQL ServerCloud SQL handles your database ops end to end, so you can focus on your app.
-
1
MedgeClaw
Open-source AI research assistant for biomedicine
MedgeClaw is a specialized AI-powered research assistant tailored for biomedical and scientific workflows, built on top of OpenClaw and Claude Code architectures. It integrates a large library of domain-specific skills, enabling it to perform complex analyses in areas such as genomics, drug discovery, and clinical research. The system connects conversational interfaces with computational environments, allowing users to initiate research tasks through messaging platforms while the backend executes analyses using tools like R and Python. It includes a real-time dashboard that displays progress, generated code, and outputs, providing transparency throughout the research process. ... -
2
DeepMind Research
Implementations and code to accompany DeepMind publications
...The top level organizes many paper-specific directories across domains such as deep reinforcement learning, self-supervised vision, generative modeling, scientific ML, and program synthesis—for example BYOL, Perceiver/Perceiver IO, Enformer for genomics, MeshGraphNets for physics, RL Unplugged, Nowcasting for weather, and more. Each project folder typically includes its own README, scripts, and notebooks so you can run experiments or explore models in isolation, and many link to associated datasets or external environments like DeepMind Lab and StarCraft II. The codebase is primarily Jupyter Notebooks and Python, reflecting an emphasis on experimentation and pedagogy rather than production packaging. -
3
CodonU
A python project for analysis of codon usage for gene or genome analys
...This open-source project incorporates various statistical measures necessary for codon usage analysis, including codon adaptation index, codon bias index, Gravy score, and correspondence analysis for both nucleotide and protein sequences. Start using CodonU today and see how it can revolutionize your genomics research! Find more at: https://github.com/SouradiptoC/CodonU Documentation link: https://souradiptoc.github.io/CodonU Example Link: https://github.com/SouradiptoC/CodonU/tree/master/Examples -
4
Data Analysis for the Life Sciences
Rmd source files for the HarvardX series PH525x
...It is part of a larger ecosystem: the compiled HTML / book version of the labs is published via a companion “book” repository, which presents a polished, browsable version of the materials. The content covers topics such as data wrangling in R, statistical inference, genomics workflows, Bioconductor packages, and project-based analyses. Because it’s open and modular, contributors can suggest improvements, update modules, or add new exercises. -
$300 in Free Credit Towards Top Cloud ServicesStart your project in minutes. After credits run out, 20+ products include free monthly usage. Only pay when you're ready to scale.
-
5
misc genomics tools
Various scripts used in sequencing, annotation and RNAseq analysis
This is a collection of various programs developed in the course of a genomics project, involving the Pseudomonas strain NCIMB10586 These include * identifying and correcting errors in an (eg) pacbio genome sequence using illumina reads * prokaryotic sequence/genome annotation * RNAseq analysis - normalisation and collation of multiple samples as a group * RNAseq visualisation All scripts are provided on a 'best efforts' basis, however due to various system changes I do not guarantee that all files are the version used in the analysis. ... -
6
ComplexHeatmap
Make Complex Heatmaps
ComplexHeatmap is an R/Bioconductor package by Zuguang Gu et al. designed to create highly flexible, complex, richly annotated heatmaps and related visualizations. It allows arranging multiple heatmaps, adding annotations, combining heatmaps, customizing colors, layouts, and integrating other plots. Often used in genomics/bioinformatics to show expression, methylation, etc., with sidebars, annotations, clustering, etc. Highly customizable layout: combining different heatmaps, arranging and splitting, dealing with multiple heatmap merges, combining with other plots etc. Integration with Shiny / interactive heatmaps via companion packages (InteractiveComplexHeatmap) to allow interactivity, etc. -
7
Acacia
A generic biodiversity database management system
...It combines the automated use of scientific names and synonyms in a species checklist with online access to geographical data and common knowledge data (morphological descriptors, genomics, ecology, vernacular names, economic uses, structured notes and conservation status) about the species. All these data can be cross-indexed to a citation list. The design and standard permits rapid customization to suit any taxonomic group. -
8
GenomeView is a genome browser and annotation editor that displays reference sequence, annotation, multiple alignments, short read alignments and graphs. Most major data formats are supported. Local and internet files can be loaded. This project has moved to GitHub: https://github.com/GenomeView/genomeview
-
9
fitGCP
Fitting genome coverage distributions with mixture models
Genome coverage, the number of sequencing reads mapped to a position in a genome, is an insightful indicator of irregularities within sequencing experiments. While the average genome coverage is frequently used within algorithms in computational genomics, the complete information available in coverage profiles (i.e. histograms over all coverages) is currently not exploited to its full extent. Thus, biases such as fragmented or erroneous reference genomes often remain unaccounted for. Making this information accessible can improve the quality of sequencing experiments and quantitative analyses. ... -
Go From AI Idea to AI App FastAccess Gemini 3 and 200+ models. Build chatbots, agents, or custom models with built-in monitoring and scaling.
-
10
TreeLiker
TreeLiker is a collection of fast algorithms for working with complex
...In experiments with real-life data, the algorithms were shown to be able to construct complete non-redundant sets of patterns for chemical datasets involving several thousands of molecules as well as for comparably large datasets from genomics or proteomics. The included relational learning algorithms are tailored towards so-called tree-like features for which some otherwise very hard sub-problems (NP-hard) become tractable. -
11
Software for making Clusters of Orthologous Groups (featuring the new EdgeSearch algorithm). Latest ref: Kristensen DM, Kannan L, Coleman MK, Wolf YI, Sorokin A, Koonin EV, Mushegian A. Bioinformatics 2010.
-
12
SyMBA is a Data Archive and Integrator that is based on the Functional Genomics Object Model (http://fuge.sf.net) and which archives, stores, and retrieves raw high-throughput data. See http://symba.sf.net and http://www.cisban.ac.uk
-
13
DIY Genomics is an open source bioinformatics consortium intended to bring a collection of tools and libraries into the hands of small scale genomics labs for the process of sequence assembly and annotation. Projects include DIYA, MGAP, CRISPR, and DIYGV
-
14
pygr is a bioinformatics toolkit for sequence analysis and comparative genomics. pygr is highly scalable (e.g. one can easily query multi-genome alignments) and easy to use. Please see our new project page and wiki at http://code.google.com/p/pygr.
-
15
TRANSFOG DAS (Translational and Functional Onco-Genomics Distributed Annotation System) is an XML-based annotation system to allow the discovery and analysis of candidate genes potentially involved in cancer onset and progression.
-
16
eQTLexplorer is a database application for the visualization and integrated mining of genetical genomics experiments.
-
17
The MIPE (Minimal Information for PCR Experiments) format is a XML format that enables genomics researchers to store critical information on PCR experiments. Accompagnying perl scripts are written to read from (dbSTS) or write to a MIPE XML file.
- Previous
- You're on page 1
- Next
