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https://cibersort.stanford.edu/

Software tool to provide an estimation of the abundances of member cell types in a mixed cell population, using gene expression data. Used for characterizing cell composition of complex tissues from their gene expression profiles, large scale analysis of RNA mixtures for cellular biomarkers and therapeutic targets.

Proper citation: CIBERSORT (RRID:SCR_016955) Copy   

•   Source: SciCrunch Registry

http://www.cpc.unc.edu/projects/addhealth

Longitudinal study of a nationally representative sample of adolescents in grades 7-12 in the United States during the 1994-95 school year. Public data on about 21,000 people first surveyed in 1994 are available on the first phases of the study, as well as study design specifications. It also includes some parent and biomarker data. The Add Health cohort has been followed into young adulthood with four in-home interviews, the most recent in 2008, when the sample was aged 24-32. Add Health combines longitudinal survey data on respondents social, economic, psychological and physical well-being with contextual data on the family, neighborhood, community, school, friendships, peer groups, and romantic relationships, providing unique opportunities to study how social environments and behaviors in adolescence are linked to health and achievement outcomes in young adulthood. The fourth wave of interviews expanded the collection of biological data in Add Health to understand the social, behavioral, and biological linkages in health trajectories as the Add Health cohort ages through adulthood. The restricted-use contract includes four hours of free consultation with appropriate staff; after that, there''s a fee for help. Researchers can also share information through a listserv devoted to the database.

Proper citation: Add Health (National Longitudinal Study of Adolescent Health) (RRID:SCR_007434) Copy   

•   Source: SciCrunch Registry

http://www.jcvi.org/charprotdb/index.cgi/home

The Characterized Protein Database, CharProtDB, is designed and being developed as a resource of expertly curated, experimentally characterized proteins described in published literature. For each protein record in CharProtDB, storage of several data types is supported. It includes functional annotation (several instances of protein names and gene symbols) taxonomic classification, literature links, specific Gene Ontology (GO) terms and GO evidence codes, EC (Enzyme Commisssion) and TC (Transport Classification) numbers and protein sequence. Additionally, each protein record is associated with cross links to all public accessions in major protein databases as ��synonymous accessions��. Each of the above data types can be linked to as many literature references as possible. Every CharProtDB entry requires minimum data types to be furnished. They are protein name, GO terms and supporting reference(s) associated to GO evidence codes. Annotating using the GO system is of importance for several reasons; the GO system captures defined concepts (the GO terms) with unique ids, which can be attached to specific genes and the three controlled vocabularies of the GO allow for the capture of much more annotation information than is traditionally captured in protein common names, including, for example, not just the function of the protein, but its location as well. GO evidence codes implemented in CharProtDB directly correlate with the GO consortium definitions of experimental codes. CharProtDB tools link characterization data from multiple input streams through synonymous accessions or direct sequence identity. CharProtDB can represent multiple characterizations of the same protein, with proper attribution and links to database sources. Users can use a variety of search terms including protein name, gene symbol, EC number, organism name, accessions or any text to search the database. Following the search, a display page lists all the proteins that match the search term. Click on the protein name to view more detailed annotated information for each protein. Additionally, each protein record can be annotated.

Proper citation: CharProtDB: Characterized Protein Database (RRID:SCR_005872) Copy   

•   Source: SciCrunch Registry

http://crcview.hegroup.org/

Web-based microarray data analysis and visualization system powered by CRC, or Chinese Restaurant cluster, a Dirichlet process model-based clustering algorithm recently developed by Dr. Steve Qin. It also incorporates several gene expression analysis programs from Bioconductor, including GOStats, genefilter, and Heatplus. CRCView also installs from the Bioconductor system 78 annotation libraries of microarray chips for human (31), mouse (24), rat (14), zebrafish (1), chicken (1), Drosophila (3), Arabidopsis (2), Caenorhabditis elegans (1), and Xenopus Laevis (1). CRCView allows flexible input data format, automated model-based CRC clustering analysis, rich graphical illustration, and integrated Gene Ontology (GO)-based gene enrichment for efficient annotation and interpretation of clustering results. CRC has the following features comparing to other clustering tools: 1) able to infer number of clusters, 2) able to cluster genes displaying time-shifted and/or inverted correlations, 3) able to tolerate missing genotype data and 4) provide confidence measure for clusters generated. You need to register for an account in the system to store your data and analyses. The data and results can be visited again anytime you log in.

Proper citation: CRCView (RRID:SCR_007092) Copy   

•   Source: SciCrunch Registry

http://coreimmunology.ucsf.edu/flow-cytometry

Flow cytometry facility offering training and services including:Access to two, 17-color BD LSR II analytical instruments with High Throughput Sampler (HTS) module,Configurations:LSRII 1,LSRII 2;Help with Flow Cytometry Panel Design;Fluorofinder (access our cytometers under CFAR Immunology Core);BD Panel designer;SFGH LSRII Flow Core Protocols;LSRII Startup and Shutdown;How to run the CST calibration assay;Access to a 17-color BD FACSAria II for fluorescence-activated cell sorting (FACS);4-way tube sorting;96 well plate sorting;Index sorting;SFGH ARIA Flow Core Protocols and configuration;ARIA Startup;Determining Drop Delay;Side Stream Set Up;Clog Procedure;ARIA Shutdown Protocol;ARIA Configuration;DNA analysis with standard dyes;Analysis of CFP, GFP, YFP, mRFP, mTomato, and mCherry gene expression proteins;Calcium flux measurements using Indo-1;Training of users on the operation of instruments and experimental design through the CIL Flow Cytometry Course;Maintaining and Upgrading Instruments;Research Support Services (study design, assay selection, grant and paper writing support).

Proper citation: University of California at San Francisco Division of Experimental Medicine Flow Core Facility (RRID:SCR_017903) Copy   

•   Source: SciCrunch Registry

https://github.com/mwang87/MassQueryLanguage

Software application for universal searching of Mass Spectrometry data. Open source MS query language for flexible and mass spectrometer manufacturer-independent mining of MS data. Implements common MS terminology to build consensus vocabulary to search for MS patterns in single mass spectrometry run. Enables set of mass spectrometry patterns to be queried directly from raw data.

Proper citation: MassQL (RRID:SCR_025106) Copy   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry

https://github.com/dviraran/xCell

Software R package for generating cell type scores and R scripts for development of xCell. Web tool that performs cell type enrichment analysis from gene expression data for immune and stroma cell types. Used for Cell types enrichment analysis.

Proper citation: xCell (RRID:SCR_026446) Copy   

•   Source: SciCrunch Registry

https://github.com/GreenleafLab/chromVAR

Software R package for analyzing sparse chromatin-accessibility data by estimating gain or loss of accessibility within peaks sharing the same motif or annotation while controlling for technical biases. Enables accurate clustering of scATAC-seq profiles and characterization of known and de novo sequence motifs associated with variation in chromatin accessibility. Used for analysis of sparse chromatin accessibility data from single cell or bulk ATAC or DNAse-seq data.

Proper citation: chromvar (RRID:SCR_026570) Copy   

•   Source: SciCrunch Registry

https://github.com/RGLab/CytoML

Software R package that enables cross-platform import, export, and sharing of gated cytometry data. It currently supports Cytobank, FlowJo, Diva, and R, allowing users to import gated cytometry data from commercial platforms into R.

Proper citation: CytoML (RRID:SCR_027485) Copy   

•   Source: SciCrunch Registry

https://github.com/VincentGardeux/demuxlet?tab=readme-ov-file

Software tool that harnesses natural genetic variation to determine the sample identity of each droplet containing a single cell (singlet) and detect droplets containing two cells (doublets). Genetic multiplexing of barcoded single cell RNA-seq.

Proper citation: demuxlet (RRID:SCR_027855) Copy   

•   Source: SciCrunch Registry

https://github.com/zfyuan/EpiProfile2.0_Family

Software tool for processing Epi-Proteomics mass spectrometry data. Discriminates isobaric histone peptides using distinguishing fragment ions in their tandem mass spectra and extracts the chromatographic area under the curve using previous knowledge about peptide retention time. Nanoflow liquid chromatography coupled with high resolution tandem mass spectrometry-based quantification tool for histone peptides, which can also be adapted to analyze nonhistone protein samples. EpiProfile 2.0 is extended version of v1.0 for enhanced quantification of histone peptides based on LC-MS/MS analysis.

Proper citation: EpiProfile (RRID:SCR_028224) Copy   

•   Source: SciCrunch Registry

https://github.com/immunogenomics/starCAT

Software pipeline that improves T cell characterization by simultaneously quantifying predefined gene expression programs (scRNA-Seq) capturing activation states and cellular subsets. Used to score cells based on a fixed, multidataset catalog of Gene Expression Programs from any tissues or cell-type.

Proper citation: starCAT (RRID:SCR_028475) Copy   

•   Source: SciCrunch Registry

https://tritrypdb.org/tritrypdb/app

Free online resource for data mining of genomic and functional data from these kinetoplastid parasites and is part of the VEuPathDB Bioinformatics Resource Center. Integrates functional genome scale datasets (e.g. transcript expression, protein expression, genetic variation data) and information predicted from automated bioinformatics pipelines and from manual curation. Provides a user friendly web interface and a number of tools and functions for users to conduct in silico experiments to ask questions and generate hypotheses. Researchers can also contribute their expertise via the User Comments form and Apollo annotation platform, and utilize cloud-based workspace to analyze their own data.

Proper citation: TryTripDB (RRID:SCR_028607) Copy   

•   Source: SciCrunch Registry