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SciCrunch Registry is a curated repository of scientific resources, with a focus on biomedical resources, including tools, databases, and core facilities - visit SciCrunch to register your resource.
https://maayanlab.cloud/drugmonizome/#/
Database with search engine for querying annotated sets of drugs and small molecules for performing drug set enrichment analysis.
Proper citation: Drugmonizome (RRID:SCR_024821) Copy
http://evs.gs.washington.edu/EVS/
The goal of the project is to discover novel genes and mechanisms contributing to heart, lung and blood disorders by pioneering the application of next-generation sequencing of the protein coding regions of the human genome across diverse, richly-phenotyped populations and to share these datasets and findings with the scientific community to extend and enrich the diagnosis, management and treatment of heart, lung and blood disorders. The groups participating and collaborating in the NHLBI GO ESP include: Seattle GO - University of Washington, Seattle, WA Broad GO - Broad Institute of MIT and Harvard, Cambridge, MA WHISP GO - Ohio State University Medical Center, Columbus, OH Lung GO - University of Washington, Seattle, WA WashU GO - Washington University, St. Louis, MO Heart GO - University of Virginia Health System, Charlottesville, VA ChargeS GO - University of Texas Health Sciences Center at Houston
Proper citation: NHLBI Exome Sequencing Project (ESP) (RRID:SCR_012761) Copy
https://github.com/EpistasisLab/ReBATE
Open source software Python package to compare relief based feature selection algorithms used in data mining. Used for feature selection in any bioinformatics problem with potentially predictive features and target outcome variable, to detect feature interactions without examination of all feature combinations, to detect features involved in heterogeneous patterns of association such as genetic heterogeneity .
Proper citation: ReBATE (RRID:SCR_017139) Copy
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 11, 2023. Archiving services, insertional site analysis, pharmacology and toxicology resources, and reagent repository for academic investigators and others conducting gene therapy research. Databases and educational resources are open to everyone. Other services are limited to gene therapy investigators working in academic or other non-profit organizations. Stores reserve or back-up clinical grade vector and master cell banks. Maintains samples from any gene therapy related Pharmacology or Toxicology study that has been submitted to FDA by U.S. academic investigator that require storage under Good Laboratory Practices. For certain gene therapy clinical trials, FDA has required post-trial monitoring of patients, evaluating clinical samples for evidence of clonal expansion of cells. To help academic investigators comply with this FDA recommendation, the NGVB offers assistance with clonal analysis using LAM-PCR and LM-PCR technology.
Proper citation: National Gene Vector Biorepository (RRID:SCR_004760) Copy
https://github.com/FunctionLab/sei-framework
Web server for systematically predicting sequence regulatory activities and applying sequence information to human genetics data. Provides global map from any sequence to regulatory activities, as represented by sequence classes, and each sequence class integrates predictions for chromatin profiles like transcription factor, histone marks, and chromatin accessibility profiles across wide range of cell types.
Proper citation: sei (RRID:SCR_022571) Copy
Web service to predict involvement of upstream cell signaling pathways, given signature of differentially expressed genes. Used to linking expression signatures to upstream cell signaling networks.
Proper citation: X2K Web (RRID:SCR_023624) Copy
https://pmc.ncbi.nlm.nih.gov/articles/PMC4525701/
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 25,2025. Web tool to parse Sanger sequencing chromatograms with double peaks into wildtype and alternative allele sequences. Used to separate chromatogram data containing ambiguous base calls into wildtype and mutant allele sequences.Used for identification of unknown indels using sanger sequencing of polymerase chain reaction products.
Proper citation: Poly Peak Parser (RRID:SCR_023776) Copy
http://interactome.baderlab.org/
Project portal for the Human Reference Protein Interactome Project, which aims generate a first reference map of the human protein-protein interactome network by identifying binary protein-protein interactions (PPIs). It achieves this by systematically interrogating all pairwise combinations of predicted human protein-coding genes using proteome-scale technologies.
Proper citation: Human Reference Protein Interactome Project (RRID:SCR_015670) Copy
https://software.broadinstitute.org/cancer/cga/polysolver
Software tool for HLA typing based on whole exome sequencing data and infers alleles for three major MHC class I genes. Enables accurate inference of germline alleles of class I HLA-A, B and C genes and subsequent detection of mutations in these genes using inferred alleles as reference.
Proper citation: Polysolver (RRID:SCR_022278) Copy
https://maayanlab.cloud/sigcom-lincs
Web server that serves over million gene expression signatures processed, analyzed, and visualized from LINCS, GTEx, and GEO. Data and metadata search engine for gene expression signatures.
Proper citation: SigCom LINCS (RRID:SCR_022275) Copy
http://life.ccs.miami.edu/life/
LIFE search engine contains data generated from LINCS Pilot Phase, to integrate LINCS content leveraging semantic knowledge model and common LINCS metadata standards. LIFE makes LINCS content discoverable and includes aggregate results linked to Harvard Medical School and Broad Institute and other LINCS centers, who provide more information including experimental conditions and raw data. Please visit LINCS Data Portal.
Proper citation: LINCS Information Framework (RRID:SCR_003937) Copy
Web page for cyclic immunofluorescence. It lists several downloadable data and software pertaining to cyclic immunofluorescence.
Proper citation: CycIF.org (RRID:SCR_016267) Copy
https://hub.docker.com/r/biodepot/star-for-criu/
Software as an Hot Start software container for STAR alignment using CRIU (Checkpoint Restore in Userspace) tool to freeze the running container. Can be deployed to align RNA sequencing data. Used in the processing of biomedical big data for better reproducibility and reliability.
Proper citation: star-for-criu (RRID:SCR_016294) Copy
http://amp.pharm.mssm.edu/LJP/
Interactive on line tool where signatures are tagged with user selected metadata and external transcript signatures are projected onto network. Browser to visualize signatures from breast cancer cell lines treated with single molecule perturbations.
Proper citation: LINCS Joint Project - Breast Cancer Network Browser (RRID:SCR_016181) Copy
http://proteomics.ucsd.edu/Software/NeuroPedia/index.html
A neuropeptide encyclopedia of peptide sequences (including genomic and taxonomic information) and spectral libraries of identified MS/MS spectra of homolog neuropeptides from multiple species.
Proper citation: NeuroPedia (RRID:SCR_001551) Copy
Collection of data of protein sequence and functional information. Resource for protein sequence and annotation data. Consortium for preservation of the UniProt databases: UniProt Knowledgebase (UniProtKB), UniProt Reference Clusters (UniRef), and UniProt Archive (UniParc), UniProt Proteomes. Collaboration between European Bioinformatics Institute (EMBL-EBI), SIB Swiss Institute of Bioinformatics and Protein Information Resource. Swiss-Prot is a curated subset of UniProtKB.
Proper citation: UniProt (RRID:SCR_002380) Copy
Database of polymorphisms and mutations of the human mitochondrial DNA. It reports published and unpublished data on human mitochondrial DNA variation. All data is curated by hand. If you would like to submit published articles to be included in mitomap, please send them the citation and a pdf.
Proper citation: MITOMAP - A human mitochondrial genome database (RRID:SCR_002996) Copy
https://portal.bsc.gwu.edu/web/lifemoms
A consortium whose overall goal is to identify effective behavioral and lifestyle interventions that will improve weight, glycemic control and other pregnancy-related outcomes in obese and overweight pregnant women, and determine whether these interventions reduce obesity and metabolic abnormalities in their children. The study/consortium is comprised of seven clinical centers, with each clinical center conducting its own trial. Additional information on the consortium and individual trials is located in the Consortium Summaries tab.
Proper citation: Lifestyle Interventions for Expectant Moms (LIFE-Moms) (RRID:SCR_014376) Copy
https://github.com/vlink/marge
Software package that integrates genome wide genetic variation with epigenetic data to identify collaborative transcription factor pairs. Optimized to work with chromatin accessibility assays such as ATAC-seq or DNase I hypersensitivity, as well as transcription factor binding data collected by ChIP-seq. Used to identify combinations of cell type specific transcription factors while simultaneously interpreting functional effects of non-coding genetic variation.
Proper citation: Motif Mutation Analysis for Regulatory Genomic Elements (RRID:SCR_021902) Copy
https://sites.cscc.unc.edu/aric/
Platform for prospective epidemiologic study conducted in four U.S. communities. One of most significant and longest running heart health studies and is the largest study of heart health in African Americans. ARIC investigates risk factors for heart disease and stroke, and connections between cardiovascular and cognitive health. ARIC includes two parts: Cohort Component and Community Surveillance Component. Cohort Component began in 1987, and each ARIC field center randomly selected and recruited cohort sample of individuals aged 45-64 from defined population in their community, to receive extensive examinations, including medical, social, and demographic data. In Community Surveillance Component, four communities are investigated to determine long term trends in hospitalized myocardial infarction and coronary heart disease deaths in men and women aged 35-84 years.
Proper citation: Atherosclerosis Risk in Communities (RRID:SCR_021769) Copy
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