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https://github.com/sxf296/drug_targeting
Software tool to detect phenotypically relevant drug targets through unique transcriptomic enrichment that emphasizes biological directionality of drug-derived gene sets. Exploratory tool to screen for possible drug targeting molecules.
Proper citation: drug perturbation Gene Set Enrichment Analysis (RRID:SCR_025351) Copy
https://github.com/immunogenomics/masc
Software tool for testing whether specified covariate influences membership of single cells in any of multiple cellular subsets while accounting for technical confounds and biological variation.
Proper citation: Mixed effects association testing for single cells (RRID:SCR_025632) Copy
https://psbweb05.psb.ugent.be/conet/microbialnetworks/spieceasi.php
Software R package estimates inverse covariance matrix from sequencing data.Statistical method for inference of microbial ecological networks from amplicon sequencing datasets.
Proper citation: Sparse Inverse Covariance Estimation for Ecological Association Inference (RRID:SCR_022646) Copy
https://www.bioconductor.org/packages/release/bioc/html/SingleR.html
Software R package for unbiased cell type recognition of scRNA-seq data. Performs unbiased cell type recognition from single-cell RNA sequencing data, by leveraging reference transcriptomic datasets of pure cell types to infer cell of origin of each single cell independently.
Proper citation: SingleR (RRID:SCR_023120) Copy
https://benjjneb.github.io/dada2/
Open source software R package for modeling and correcting Illumina sequenced amplicon errors. Fast and accurate sample inference from amplicon data with single nucleotide resolution.
Proper citation: DADA2 (RRID:SCR_023519) Copy
https://github.com/cliu32/athlates
Software package for determining HLA genotypes for individuals from Illumina exome sequencing data. Program applies assembly, allele identification and allelic pair inference to short read sequences, and applies it to data from Illumina platforms.
Proper citation: ATHLATES (RRID:SCR_023689) Copy
Software Python package to automate building of ML pipelines by combining flexible expression tree representation of pipelines with stochastic search algorithms such as genetic programming.
Proper citation: Tree-Based Pipeline Optimization Tool (RRID:SCR_017531) Copy
https://github.com/epistasislab/hibachi
Software tool that creates data sets with particular characteristics. Method and open source software for simulating complex biological and biomedical data to aid in comparing and evaluating machine learning methods.
Proper citation: Heuristic Identification of Biological Architectures for simulating Complex Hierarchical Interactions (RRID:SCR_017140) Copy
http://www.niaid.nih.gov/about/organization/dait/pages/csgadp.aspx
Collaborative network of investigators with a focus on prevention of autoimmune disease, defined as halting the development of autoimmune disease prior to clinical onset by means other than global immunosuppression, and an emphasis on Type 1 diabetes. Its mission is to engage in scientific discovery that significantly advances knowledge for the prevention and regulation of autoimmune disease. The specific goals enunciated in pursuit of this mission are: * To create improved models of disease pathogenesis and therapy to better understand immune mechanisms that will provide opportunities for prevention strategies * To use these models as validation platforms with which to test new tools applicable to human studies * To encourage core expertise and collaborative projects designed for rapid translation from animal to human studies, emphasizing the development of surrogate markers for disease progression and/or regulation which can be utilized in the context of clinical trials
Proper citation: Cooperative Study Group for Autoimmune Disease Prevention (RRID:SCR_006803) Copy
http://www.immuneprofiling.org/
Consortium established to capitalize on recent advances in immune profiling methods in order to create a novel public resource that characterizes diverse states of the human immune system following infection; prior to and following vaccination against an infectious disease; or prior to and following treatment with an immune adjuvant that targets a known innate immune receptor(s). Through this program, well-characterized human cohorts are studied using a variety of modern analytic tools, including multiplex transcriptional, cytokine, and proteomic assays; multiparameter phenotyping of leukocyte subsets; assessment of leukocyte functional status; and multiple computational methods. Centralized research resources and a comprehensive, centralized database will be constructed for use by the greater scientific community. The information gained from the program will provide a comprehensive understanding of the human immune system and its regulation, and will reveal novel associations between components of the immune system and other biological systems, identify novel immune mediators and pathways, establish predictors of vaccine safety in different populations, and enable the rapid evaluation of different vaccine formulations and administration regimens in human populations.
Proper citation: Human Immunology Project Consortium (RRID:SCR_001491) Copy
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. Bioinformatics resource system including web server and web service for functional annotation and enrichment analyses of gene lists. Consists of comprehensive knowledgebase and set of functional analysis tools. Includes gene centered database integrating heterogeneous gene annotation resources to facilitate high throughput gene functional analysis.
Proper citation: DAVID (RRID:SCR_001881) Copy
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 4, 2023. HIV Sequence Database is a database of annotated HIV sequences, plus a variety of tools and information for researchers studying HIV and SIV. The main aim of this website is to provide easy access to our sequence database, alignments, and the tools and interfaces we have produced. The HIV Sequence Database focuses on five primary goals: * Collecting HIV and SIV sequence data (all sequences since 1987) * Curating and annotating this data, and making it available to the scientific community * Computer analysis of HIV and related sequences * Production of software for the analysis of (sequence) data * The data and analyses on this site and published in a yearly printed publication, the HIV sequence Compendium, which is available free of charge.
Proper citation: HIV Sequence Database (RRID:SCR_002906) Copy
http://www.genetics.ucla.edu/labs/horvath/CoexpressionNetwork/
Software R package for weighted correlation network analysis. WGCNA is also available as point-and-click application. Unfortunately this application is not maintained anymore. It is known to have compatibility problems with R-2.8.x and newer, and the methods it implements are not all state of the art., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.
Proper citation: Weighted Gene Co-expression Network Analysis (RRID:SCR_003302) Copy
http://www.hiv.lanl.gov/content/index
Contains comprehensive data on HIV genetic sequences and immunological epitopes. This collection of databases contains tools to visualize and analyze HIV-related data.
Proper citation: HIV Databases (RRID:SCR_000614) Copy
http://mummer.sourceforge.net/
Software package as system for rapidly aligning entire genomes. Alignment tool for DNA and protein sequences. Can align incomplete genomes.
Proper citation: MUMmer (RRID:SCR_018171) Copy
http://www.cbs.dtu.dk/services/NetMHCpan/
Web server for quantitative prediction of peptide binding to any MHC molecule of known sequence using artificial neural networks. Characterizes binding specificity of given major histocompatibility complex molecule and predicts peptide length profile and peptide binding affinity. NetMHCpan 3.0 is improved prediction of binding to MHC class I molecules integrating information from multiple receptor and peptide length data sets. NetMHCpan 4.0 is trained on naturally eluted ligands and on peptide binding affinity data. NetMHCpan-4.1 server predicts binding of peptides to any MHC molecule of known sequence using artificial neural networks (ANNs).
Proper citation: NetMHCpan Server (RRID:SCR_018182) Copy
http://web.cbio.uct.ac.za/~darren/rdp.html
Software package to analyse nucleotide sequence data and identify evidence of genetic recombination. RDP3 is version of RDP program for characterizing recombination events in DNA-sequence alignments. RDP4 is version of RDP program for detection and analysis of recombination patterns in virus genomes.
Proper citation: Recombination Detection Program (RRID:SCR_018537) Copy
https://bioweb.pasteur.fr/packages/pack@[email protected]
Open source software tool for analysing trace files generated by Bayesian MCMC runs. Software package for visualising and analysing MCMC trace files generated through Bayesian phylogenetic inference. Provides kernel density estimation, multivariate visualisation, demographic trajectory reconstruction, conditional posterior distribution summary and more.
Proper citation: Tracer (RRID:SCR_019121) Copy
Software R package for processing and analyzing single-cell ATAC-seq data. Used for integrative single cell chromatin accessibility analysis.Provides intuitive, user focused interface for complex single cell analysis, including doublet removal, single cell clustering and cell type identification, unified peak set generation, cellular trajectory identification, DNA element-to-gene linkage, transcription factor footprinting, mRNA expression level prediction from chromatin accessibility and multi-omic integration with single-cell RNA sequencing.
Proper citation: ArchR (RRID:SCR_020982) Copy
https://github.com/datatagsuite
Software suite to enable discoverability of datasets. Enables submission of metadata on datasets to DataMed. Has core set of elements, which are generic and applicable to any type of dataset, and extended set that can accommodate more specialized data types. Platform independent model developed by NIH BD2K bioCADDIE project for DataMed Data Discovery Index prototype being developed. Also available as annotated serialization in schema.org, which in turn is widely used by major search engines like Google, Microsoft, Yahoo and Yandex.
Proper citation: DatA Tag Suite (RRID:SCR_019236) Copy
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