Find open-source science resources

A directory of tools, AI models, datasets, and research resources for biotech, bioinformatics, and other scientific fields. Aggregated from curated GitHub awesome-lists, HuggingFace, bio.tools, Bioconductor, and more.

49 of 7,755 resources matching “protein”

Provides a consistent interface for downloading, storing, and accessing immune

Active91 week ago
R
MIT

omicsViewer visualizes ExpressionSet (or SummarizedExperiment) in an interactive way. The

Active41 month ago
R
GPL-2.0

PhyloProfile is a tool for exploring complex phylogenetic profiles. Phylogenetic

Active381 month ago
R
MIT

protein-protein interaction (PPI) networks. GCN inference relies on the popular

Active382 months ago
R
GPL-3.0

BgeeCall allows to generate present/absent gene expression calls without using

Active52 months ago
R
GPL-3.0

SpaceTrooper performs Quality Control analysis using data driven GLM models

Active132 months ago
R
MIT

protein language models into the R environment. Provides unified interfaces

Active32 months ago
R
MIT

Leverage the existing open access TCGA data on Terra with

Idle06 months ago
R
Artistic-2.0

protein sequences. GFF files are often used to describe the features

Idle06 months ago
R
Artistic-2.0

protein-protein interactions), by including network-based regularizers. glmSparseNet uses

Idle67 months ago
R
GPL-3.0

protein-coding genes, followed by enrichment analysis. Results can be visualized

Idle87 months ago
R
MIT

protein domain-based approach and; iii. synteny detection using synteny

Idle128 months ago
R
GPL-3.0

Computes Multiple Co-Inertia Analysis (MCIA), a dimensionality reduction (jDR

Idle79 months ago
R
GPL-3.0

MAPFX is an end-to-end toolbox that pre-processes

Idle110 months ago
R
GPL-2.0

proteins with potential clinical associations. From CNA and RNA-seq data

Idle01 year ago
R
GPL-3.0

We present a statistical simulator, scDesign3, to generate realistic single

Idle1251 year ago
R
MIT

Protein coding genes from a list of candidates. Systematically download

Idle61 year ago
R
GPL-3.0

protein sequences and classify them based on their modes of duplication

Idle371 year ago
R
GPL-3.0

protein abundance compared to conventional aggregation methods. This algorithm employs

Idle01 year ago
R
MIT

protein sequences and analyze them. Anchor pairs are detected with

Idle431 year ago
R
GPL-3.0

protein markers at the single-cell level, producing high dimensional

Idle21 year ago
R
GPL-3.0

A molecular informatics toolkit with an integration of bioinformatics and

Stale392 years ago
R
Artistic-2.0

The 'funOmics' package ggregates or summarizes omics data into higher

Stale72 years ago
R
MIT

protein products). The network is scanned using SConES, which looks

Stale42 years ago
R
GPL-3.0

protein coding genes. FGGA embodies elements of predicate logic, communication

Stale32 years ago
R
GPL-3.0

proteins, arranged such that the probability that gene products participate

Stale43 years ago
R
GPL-2.0+

protein sequence data and classify them into families and subfamilies

Stale13 years ago
R
GPL-3.0

magrene allows the identification and analysis of graph motifs in

Stale33 years ago
R
GPL-3.0

protein databases based on user-submitted genomic variants, splice-junctions

Stale63 years ago
R
GPL-3.0

Intra-miR-ExploreR, an integrative miRNA target prediction bioinformatics tool

Stale05 years ago
R
GPL-2.0

DiffLogo is an easy-to-use tool to visualize motif

Stale76 years ago
R
GPL-2.0+

protein’s simultaneous impact into multiple complexes based on network

protein-protein interaction (PPI), chemical-chemical interaction (CCI), or single

proteins (Y), to infer a matrix of molecular protein dependencies

proteins. These are individual amino acids that accumulate mutations at a much

protein-coding genes, distal enhancers, and genes encoding microRNAs and lncRNAs

protein engineering is key to solving fundamental problems in synthetic

protein sequences using 'ggplot2'. Multiple sequence alignment can easily be combined

protein and gene information can be searched for using the API. Methods

proteins from multi-omics' data (MOMA) algorithm, as well as ancillary

analysis of thermal proteome profiles reveals novel drug-binding proteins.

proteins perform their functions in networks associated with other proteins

protein-RNA interaction sites, RNA modification sites (alias the epitranscriptome

protein. Note that for using the package, the user has to download

protein complex assembly and (differential) protein-protein interactions across conditions

protein. Thus, to understand the molecular mechanisms underlying genetic traits

proteins form a major fraction of the druggable proteome and can be used

protein, ii) isolate individual synaptonemal complexes and measure their physical

protein interactions from 2D thermal profiles (DLPTP), Performs an FDR-controlled