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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.
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 It reports published and unpublished data on human mitochondrial DNA variation.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
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
A tool for finding dbGaP studies containing phenotype variables of interest. Lack of standardization makes locating and categorizing previously measured variables difficult. This query tool for biomedical researchers is to identify studies and phenotype variables of interest.
Proper citation: PhenoExplorer (RRID:SCR_008980) 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://pypi.org/project/pmlb/
Python wrapper for Penn Machine Learning Benchmark data repository. Large, curated repository of benchmark datasets for evaluating supervised machine learning algorithms. Part of PyPI https://pypi.org/
Proper citation: Penn machine learning benchmark repository (RRID:SCR_017138) 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
https://github.com/BioDepot/nbdocker
Software tool as Jupyter Notebook extension for Docker. Each Docker container encapsulates its individual computing environment to allow different programming languages and computing environments to be included in one single notebook, provides user to document code as well as computing environment.
Proper citation: nbdocker (RRID:SCR_017159) Copy
https://github.com/caleblareau/mgatk
Software python-based command line interface for processing .bam files with mitochondrial reads and generating high-quality heteroplasmy estimation from sequencing data. This package places a special emphasis on mitochondrial genotypes generated from single-cell genomics data, primarily mtscATAC-seq, but is generally applicable across other assays.
Proper citation: mgatk (RRID:SCR_021159) Copy
https://github.com/humanlongevity/HLA
Software tool for fast and accurate HLA typing from short read sequence data. Iteratively refines mapping results at amino acid level to achieve four digit typing accuracy for both class I and II HLA genes, taking only 3 min to process 30× whole genome BAM file on desktop computer.
Proper citation: xHLA (RRID:SCR_022277) Copy
https://lincsportal.ccs.miami.edu/signatures/home
Primary access point for compendium of LINCS data with substantial changes in data architecture and APIs, completely redesigned user interface, and enhanced curated metadata annotations to support more advanced, intuitive and deeper querying, exploration and analysis capabilities. LINCS datasets are accessible at data point level enabling users to directly access and download any subset of signatures across entire library independent from originating source, project or assay. Newly designed query interface enables global metadata search with autosuggest across all annotations associated with perturbations, model systems, and signatures.
Proper citation: LINCS Data Portal 2.0 (RRID:SCR_022566) Copy
http://www.nhlbi.nih.gov/guidelines/obesity/BMI/bmicalc.htm
Body Mass Index (BMI) for adults can be calculated using only height and weight. Body mass index (BMI) is a measure of body fat based on height and weight that applies to adult men and women.
Proper citation: Body Mass Index Calculator (RRID:SCR_000122) 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
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
Web interactive browser to visualize data and perform gene set enrichment analysis along with gene and SNP lookup. Web interface used to query STARNET datasets and downstream analysis which includes RNAseq from 7 tissues: blood, free internal mammary artery (MAM), atherosclerotic aortic root (AOR), subcutaneous fat (SF), visceral abdominal fat (VAF), skeletal muscle (SKLM), and liver (LIV). Paired SNP genotyping data is included and utilized for tissue expression quantitative trait loci (eQTL), CAD heritability (H2), co-expression networks and gene regulatory networks.
Proper citation: STARNET (RRID:SCR_025238) Copy
Software quality assurance and checking tool for quantitative assessment of magnetic resonance imaging and computed tomography data. Used for quality control of MR imaging data.
Proper citation: MRQy (RRID:SCR_025779) Copy
https://pypi.org/project/SpaGCN/
Software graph convolutional network to integrate gene expression and histology to identify spatial domains and spatially variable genes. SpaGCN integrates information from gene.
Proper citation: SpaGCN (RRID:SCR_025978) Copy
Portal provides information about nationwide study of more than 50,000 individuals to determine factors that predict disease severity and long-term health impacts of COVID-19.
Proper citation: Collaborative Cohort of Cohorts for COVID-19 Research (RRID:SCR_026322) Copy
https://github.com/kharchenkolab/conos
Software R package for joint analysis of multiple single-cell RNA-seq datasets. Used to wire together large collections of single-cell RNA-seq datasets, which allows for both identification of recurrent cell clusters and propagation of information between datasets in multi-sample or atlas-scale collections.
Proper citation: Conos (RRID:SCR_026381) Copy
https://github.com/aametwally/Metabolic_Subphenotype_Predictor
Software repository contains code for Inference of T2D metabolic subphenotypes (MuscleIR, Beta-cell Function, Incretin Effect, Hepatic IR), Identification of dominant metabolic subphenotype, Feature extraction from glucose tiemseries, Extraction of reduced representation of glucose tiemseries,Visualization of metabolic phenotypes based on various glucose-related metrics,Concordance between CGM and Venous glucose values from at home and at clinical setting, Classification of metabolic subphenotypes.
Proper citation: Metabolic Subphenotype Predictor (RRID:SCR_027192) Copy
https://github.com/McGranahanLab/TcellExTRECT
Software R package to calculate T cell fractions from WES data from hg19 or hg38 aligned genomes.
Proper citation: T Cell ExTRECT (RRID:SCR_027742) Copy
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