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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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

http://pinet-server.org

Web platform for downstream analysis and visualization of proteomics data. Server that facilitates integrated annotation, analysis and visualization of quantitative proteomics data, with emphasis on PTM networks and integration with LINCS library of chemical and genetic perturbation signatures in order to provide further mechanistic and functional insights. Primary input for server consists of set of peptides or proteins, optionally with PTM sites, and their corresponding abundance values.

Proper citation: piNET (RRID:SCR_018693) Copy   

•   Source: SciCrunch Registry

https://bioconductor.org/packages/variancePartition/

Software R package to quantify and interpret divers of variation in multilevel gene expression experiments.Provides statistical and visualization framework for studying drivers of variation in RNA-seq datasets in many types of high throughput genomic assays including RNA-seq gene-, exon- and isoform-level quantification, splicing efficiency, protein quantification, metabolite quantification, metagenomic assays, methylation arrays and epigenomic sequencing assays.

Proper citation: variancePartition (RRID:SCR_019204) Copy   

•   Source: SciCrunch Registry

https://exrna-atlas.org

Software tool as data and metadata repository of Extracellular RNA Communication Consortium. Atlas includes small RNA sequencing and qPCR derived exRNA profiles from human and mouse biofluids. All RNAseq datasets are processed using version 4 of exceRpt small RNAseq pipeline. Atlas accepts submissions for RNAseq or qPCR data.

Proper citation: exRNA Atlas (RRID:SCR_017221) Copy   

•   Source: SciCrunch Registry

https://sleepdata.org/datasets/abc

Portal for randomized controlled trial to compare effectiveness of bariatric surgery versus continuous positive airway pressure (CPAP) therapy for obstructive sleep apnea. Signals included in the polysomnography (PSG) montage are EEG, EMG, EOG, ECG, SpO2, airflow, CPAP pressure, CPAP flow, plethysmography, position, pulse, light, respiratory effort, snore.

Proper citation: Apnea, Bariatric surgery, and CPAP study (RRID:SCR_016575) Copy   

•   Source: SciCrunch Registry

https://sleepdata.org/datasets/bestair/

Portal for sleep study to address challenges in conducting future large-scale trials of sleep apnea treatment. Includes data from sleep apnea patients with cardiovascular disease or risk factors. Signals included in the polysomnography (PSG) montage are ECG, SpO2, airflow, nasal pressure, position, pulse, respiratory effort, snore, tidal volume.

Proper citation: Best Apnea Interventions for Research (BestAIR) sleep study (RRID:SCR_016583) Copy   

•   Source: SciCrunch Registry

http://zhoulab.usc.edu/TopDom/

Software tool to identify Topological Domains, which are basic builiding blocks of genome structure. Detects topological domains in a linear time., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: TopDom (RRID:SCR_016964) Copy   

•   Source: SciCrunch Registry

http://lincsportal.ccs.miami.edu/dcic-portal/

Portal which provides a unified interface for searching LINCS dataset packages and reagents. Users can use the portal to access datasets, small molecules, cells, genes, proteins and peptides, and antibodies.

Proper citation: LINCS Data Portal (RRID:SCR_014939) Copy   

•   Source: SciCrunch Registry

http://lincs.hms.harvard.edu/

Center that is part of the NIH Library of Integrated Network-based Cellular Signatures (LINCS) Program. Its goals are to collect and disseminate data and analytical tools needed to understand how human cells respond to perturbation by drugs, the environment, and mutation.

Proper citation: HMS LINCS Center (RRID:SCR_016370) Copy   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

https://maayanlab.cloud/X2K

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

http://phenoexplorer.org/

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry