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http://www.broadinstitute.org/pubs/MitoCarta/

Collection of genes encoding proteins with strong support of mitochondrial localization. Inventory of genes encoding mitochondrial-localized proteins and their expression across 14 mouse tissues. Database is based on human and mouse RefSeq proteins that are mapped to NCBI Gene loci. MitoCarta 2.0 inventory provides molecular framework for system-level analysis of mammalian mitochondria.

Proper citation: MitoCarta (RRID:SCR_018165) Copy   

•   Source: SciCrunch Registry

http://geno2mp.gs.washington.edu/Geno2MP/#/

Collection of phenotypic profiles for affected individuals and, for unaffected individuals, the phenotypic profile of their affected. Collaborative, shared resource for the human genetics community.

Proper citation: Geno2MP (RRID:SCR_016872) Copy   

•   Source: SciCrunch Registry

https://primatedatabase.com/

Database of intracellular recordings of non-human primates (NHP) cells sampled from the lateral prefrontal cortex. 249 patch clamp recordings for 2 protocols: 1 second current pulse and 3 millisecond pulse. Morphology obtained by biocytin injections and confocal imaging at 63x magnification.

Proper citation: Primate Cell Type Database (RRID:SCR_017963) Copy   

•   Source: SciCrunch Registry

https://bioinformatics.niaid.nih.gov/chemokinedb/

Resource of chemokines and receptors with detailed information including taxonomy, nomenclature, structure, physiological function, tissue information, and phenotype, collected from IUPHAR/BPS, UniGene, and UniProt public databases.

Proper citation: ChemokineDB (RRID:SCR_016593) Copy   

•   Source: SciCrunch Registry

http://mousebrain.org/

Atlas of brain cell types, derived from single cell RNA-Seq data from Linnarsson Lab. Can be browsed by taxon, cell type, tissue, and gene, with information on enriched genes, specific markers, anatomical location and more. Single cell gene expression atlas of mouse nervous system.

Proper citation: mousebrain.org (RRID:SCR_016999) Copy   

•   Source: SciCrunch Registry

https://resistomedb.com

Web tool to explore and visualize Antibiotic Resistance Genes found on Tara Oceans samples. Can be explored by individual ARG or grouped by antibiotic class.

Proper citation: ResistomeDB (RRID:SCR_018305) Copy   

•   Source: SciCrunch Registry

http://geroprotectors.org

Collection of structured and manually curated data of current therapeutic interventions in aging and age-related disease. Describes compounds and mechanisms using multiple chemical and biological databases.

Proper citation: GEROprotectors (RRID:SCR_016737) Copy   

•   Source: SciCrunch Registry

http://meme-suite.org/tools/dreme

Software tool to discover short, ungapped motifs (recurring, fixed-length patterns) that are relatively enriched in sequences compared with shuffled sequences or control sequences (sample output from sequences).

Proper citation: DREME (RRID:SCR_016860) Copy   

•   Source: SciCrunch Registry

https://pregnancycolab.tghn.org/collect/

Collaborative database for pregnancy and placental research studies worldwide by Global Pregnancy Collaboration CoLab . Database for collecting data for pregnancy studies in preeclampsia and other fields. Database has web based data entry platform with study specific user access. Data can also be entered offline using formatted spreadsheet template that can be uploaded to database in bulk or stored locally. Data is property of investigator but with permission can be combined into larger studies across centers and countries. Collaboration is enabled but not required.

Proper citation: COLLECT database (RRID:SCR_018366) Copy   

•   Source: SciCrunch Registry

http://software.broadinstitute.org/gsea/msigdb/index.jsp

Collection of annotated gene sets for use with Gene Set Enrichment Analysis (GSEA) software.

Proper citation: Molecular Signatures Database (RRID:SCR_016863) Copy   

•   Source: SciCrunch Registry

https://www.hsrd.research.va.gov/for_researchers/cyber_seminars/archives/video_archive.cfm?SessionID=3814

Shared knowledgebase of VA EHR-based phenotype algorithms, definitions and data curation metadata.

Proper citation: VA Phenomics Library (RRID:SCR_019107) Copy   

•   Source: SciCrunch Registry

https://www.acu.ac.uk/research-information-network/

A network resource that aims to enhance and broaden understanding of how researchers in the UK create and use information resources. The network provides services of all kinds to support the development of effective policies and practices for researchers, institutions, funders, information professionals and everyone who is involved in the information landscape.

Proper citation: Research Information Network (RRID:SCR_000931) Copy   

•   Source: SciCrunch Registry

http://platform.cerebellum.neuroinf.jp/

THIS RESOURCE IS NO LONGER IN SERVICE, documented January 13, 2022. Digital research archive for cerebellar research including mini-reviews of contemporary cerebellar research, list of papers and mathematical models for cerebellar operation.

Proper citation: Cerebellar Platform (RRID:SCR_001700) Copy   

•   Source: SciCrunch Registry

https://cran.r-project.org/package=wavethresh

Software R package to perform 1, 2 and 3D real and complex-valued wavelet transforms, nondecimated transforms, wavelet packet transforms, nondecimated wavelet packet transforms, multiple wavelet transforms, complex-valued wavelet transforms, wavelet shrinkage for various kinds of data, locally stationary wavelet time series, nonstationary multiscale transfer function modeling, density estimation.

Proper citation: wavethresh (RRID:SCR_024311) Copy   

•   Source: SciCrunch Registry

http://pmap.burnham.org/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 23, 2022. A database of proteolytic pathways. Its goal is to contribute to the scientific community and the understanding of proteolysis by providing better tools and data to researchers and medical researchers.

Proper citation: PMAP (RRID:SCR_000740) Copy   

•   Source: SciCrunch Registry

https://wiki.nci.nih.gov/display/cageneindex/Cancer+Gene+Index+End+User+Documentation

THIS RESOURCE IS NO LONGER IN SERVICE, documented on November 17, 2016. A database of genes that have been experimentally associated with human cancer diseases and/or pharmacological compounds, the evidence of these associations, and relevant annotations on the data.

Proper citation: Cancer Gene Index (RRID:SCR_001117) Copy   

•   Source: SciCrunch Registry

http://snpselector.duhs.duke.edu/hqsnp36.html

This is the HQSNP DB (high-quality SNP database) developed by CHG bioinformatics group. The high-quality SNP is defined as a SNP having allele frequency or genotyping data. The majority of the HQSNPs come from HapMap, others come from JSNP (Japanese SNP database), TSC (The SNP Consortium), Affymetrix 120K SNP, and Perlegen SNP. There are four kinds of SNP search you can do: * Get SNPs by dbSNP rs#: Choose this search if you have already selected a list of SNPs and you just want to get the SNP information. The program will generate a Excel file containing the SNP flanking sequence, variation, quality, function, etc. In the Excel file, there are 10 highlighted fields. You can send only those highlighted information to Illumina to get SNP pre-score. (The same fields are presented in other types of searches as well.) * Get gene SNPs by gene names: Choose this search if you have a list of gene names and you want to get the SNP information in these genes. The gene name can be official gene symbol, Ensembl gene ID, RefSeq accession ID, LocusLink number, etc. * Get gene SNPs by genome regions: Choose this search if you have a list of genome regions and you want to get all gene SNP information in these regions. The software will find all the Ensembl genes in the regions and find SNPs associated to each Ensembl gene. * Get genome scan SNPs by genome regions: Choose this search if you have a list of genome regions and you want to get evenly spaced SNPs in these regions. A SNP selection tool (SNPselector) was built upon HQSNP. It took snp ID list, gene name list, or genome region list as input and searched SNPs for genome scan or gene assoctiation study. It could take an optional ABI SNP file (exported from ABI SNP search web page) as input for checking whether the candidate SNP is available from ABI. It could also take an optional Illumina SNP pre-score file as input to select SNP for Illumina SNP assay. It generated results sorted by tag SNP in LD block, SNP quality, SNP function, SNP regulatory potential, and SNP mutation risk. SNPselector is now retired from public use (as of September 30, 2010).

Proper citation: High Quality SNP Database (RRID:SCR_007230) Copy   

•   Source: SciCrunch Registry

http://cmckb.cellmigration.org

It is a database of keys facts about proteins, families, and complexes involved in cell migration. This ongoing project provides a large amount of automated and curated data, collected from numerous online resources that are updated monthly. These data include names, synonyms, sequence information, summaries, CMC research data, reagents, structures, as well as protein family and complex details. CMKB''s ultimate goal is to create a database that will enable the cell migration community to conveniently access significant information about molecules of interest. This will also serve as a stepping stone to pathway analysis and demonstrate how these molecules coordinate with one another during cell adhesion and movement. Sponsors: This resource is supported by the Cell Migration Consortium.

Proper citation: CMKB (RRID:SCR_007229) Copy   

•   Source: SciCrunch Registry

http://www.oreganno.org/oregano/

Open source, open access database and literature curation system for community based annotation of experimentally identified DNA regulatory regions, transcription factor binding sites and regulatory variants. Automatically cross referenced against PubMED, Entrez Gene, EnsEMBL, dbSNP, eVOC: Cell type ontology, and Taxonomy database. Community driven resource for curated regulatory annotation.

Proper citation: Open Regulatory Annotation Database (RRID:SCR_007835) Copy   

•   Source: SciCrunch Registry

https://leger2.helmholtz-hzi.de/cgi-bin/expLeger.pl

Knowledge database and visualization tool for comparative genomics of pathogenic and non-pathogenic Listeria species.Provides information on gene functions (as annotated or supposed by literature from homologous organisms) , protein expression levels under defined experimental conditions ,subcellular localization of proteins (expected and/or experimentally validated) , biological meaning of genes and proteins based on KEGG, InterPro and Gene Ontology.

Proper citation: LEGER: the post-genome Database for Listeria Research (RRID:SCR_007760) Copy   

•   Source: SciCrunch Registry