Genetic algorithms
Provide API for working with gene distribution bins provided by data.gramene.org/genes
Typed client for the NCBI Datasets API v2 (genes, genomes, taxonomy)
Vue Component to display genes.
MCP client for Open Genes AI - access 7500+ aging and longevity genes
Target discovery platform for exploring rankings of genes, disease models, and other entities.
Monarch biomedical knowledge graph — diseases, phenotypes, genes, variants
Single Cell Expression Atlas experiment cell type marker genes heatmap
CSL style for Genes & Nutrition
CSL style for Genes
Volcano Plot is a React.js component powered by Highcharts, designed to visualise RNA sequencing data and identify statistically significant genes. It allows dynamic threshold adjustment for a comprehensive and interactive data analysis experience.
Vue Component to display genes
recphyloXML visualisation genes trees in species tree.
Transform your javascript/html application into a `DNA` so it can communicate with other genes.
Base GeKo genes to build web servers easily.
CSL style for Genes & Diseases
Rotifer MCP Server — AI agents search, compare, and rank Genes (modular AI skills) from a living ecosystem of 50+ capabilities. Zero config.
transforms gramene JSON genes into tab delimited bed
CSL style for Virus Genes
CSL style for Genes & Immunity
CSL style for Genes & Development
CSL style for Genes & Cancer
This CLI gets the genes with in a location range from JBrowse
CSL style for Genes & Genomics
Spatial gene regulatory network inference and in-silico perturbation (Rust port of SpaceTravLR)
Spatial gene regulatory network inference and in-silico perturbation (Rust port of SpaceTravLR)
A tool to analyze and manipulate transcript segment graph (TSG)
Gene Cluster prediction with Conditional Random Fields
Prismer Cloud SDK — Context API, Parse API, IM, Evolution Engine
Gene-set score per cell (mean of a gene list minus an expression-bin-matched random control set) — matches scanpy tl.score_genes(random_state=0) value-exactly
rvDNA — AI-native genomic analysis. 20-SNP biomarker risk scoring, streaming anomaly detection, 64-dim profile vectors, 23andMe genotyping, CYP2D6/CYP2C19 pharmacogenomics, variant calling, protein prediction, and HNSW vector search in pure Rust.
Pure-Rust port of the GSVA family of gene-set enrichment methods (GSVA, ssGSEA, z-score, PLAGE), validated for numeric parity against the Bioconductor GSVA package.
Count intersections between genes and sequences
Fast and accurate guide counting for CRISPR screens.
Read phylogenetic tree(s) in newick, phyloXML or recPhyloXML file and build a svg representation of the tree(s) allowing 1, 2 or 3 reconciliation levels.
A genetic algorithm implementation
The tool validates the input predicted genes and provides useful information (length validation, gene merge validation, sequence duplication checking, ORF finding) based on the similarities to genes in public databases.
Gene Expression in RBBT
GoRuby makes it easy to interact with the Gene Ontology by using the infrastructure setup in R. By connecting to R using RSRuby, the database and methods can be interrogated. Plus, keeping the R library up to date is much simpler than having to keep a GO implementation up to date.
Parse publications for gene names in a fuzzy fashion
Parses gene ontology .obo files, links terms through `is_a` and provides methods to find levels and traverse the tree.
Data sources like PubMed, Entrez Gene, or Gene Ontology
This bio-gem facilitates the creation of pretty, publication quality SVG images from feature data.
A module which allows the GENE gyrokinetic code to be run using the CodeRunner framework.
CURRENTLY UNDER DEVELOPMENT (not usable yet)
kittyverse - helper classes for cattributes, trait types, traits, genes, genomes and more for cryptokitties and copycats
Use this siftware with techniques like genecapture
FULL-LENGTHERNEXT is a tool adapted to NGS technologies, able to work in parallel and in a distributed way to minimise computing time. It is able to classify unigenes to full-length, 5’-end, 3’-end and internal, suggesting which unknown genes are coding or not. It will be also shown that FULL-LENGTHERNEXT fixes frame shifts, one of the main mistake found in wrong entries of full-length sequences databases, and it is a fast tool to compare different transcriptome assemblies.
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