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http://mouse.brain-map.org/

Genome wide database of gene expression in mouse brain. Genome-wide atlas of gene expression in the adult mouse brain.

Proper citation: ABA Mouse Brain: Atlas (RRID:SCR_017479) Copy   

•   Source: SciCrunch Registry
  

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
  

http://www.sbpdiscovery.org/technology/sr/Pages/LaJolla_Crystallography.aspx

Facility equipped with X-ray crystallography equipment, such as the Rigaku FR-E SuperBright Ultra high-intensity rotating anode generator. The instrument is inteded for self-usage by trained users. It utilizes both ports with two independent diffraction stations that can run simultaneously. Each station is equipped with an X-stream cryogenic system for standard low temperature (~100 K) data collection. The system is used to collect high resolution diffraction data from native and inhibitor-bound crystals or to test and optimize diffraction quality (cryo-protectant conditions, etc.) and screen for further data collection at synchrotron sources.

Proper citation: Sanford Burnham Prebys Medical Discovery Institute X-ray Crystallography Facility (RRID:SCR_014860) Copy   

•   Source: SciCrunch Registry
  

http://www.broad.mit.edu/mpr/lung

Data set of a molecular taxonomy of lung carcinoma, the leading cause of cancer death in the United States and worldwide. Using oligonucleotide microarrays, researchers analyzed mRNA expression levels corresponding to 12,600 transcript sequences in 186 lung tumor samples, including 139 adenocarcinomas resected from the lung. Hierarchical and probabilistic clustering of expression data defined distinct sub-classes of lung adenocarcinoma. Among these were tumors with high relative expression of neuroendocrine genes and of type II pneumocyte genes, respectively. Retrospective analysis revealed a less favorable outcome for the adenocarcinomas with neuroendocrine gene expression. The diagnostic potential of expression profiling is emphasized by its ability to discriminate primary lung adenocarcinomas from metastases of extra-pulmonary origin. These results suggest that integration of expression profile data with clinical parameters could aid in diagnosis of lung cancer patients.

Proper citation: Classification of Human Lung Carcinomas by mRNA Expression Profiling Reveals Distinct Adenocarcinoma Sub-classes (RRID:SCR_003010) Copy   

•   Source: SciCrunch Registry
  

http://eyebrowse.cit.nih.gov/

EyeBrowse displays expressed sequence tag (EST) cDNA clones from eye tissues (derived from NEIBank and other sources) aligned with current versions of the human, rhesus, mouse, rat, dog, cow, chicken, or zebrafish genomes, including reference sequences for known genes. This gives a simplified view of gene expression activity from different parts of the eye across the genome. The data can be interrogated in several ways. Specific gene names can be entered into the search window. Alternatively, regions of the genome can be displayed. For example, entering two STS markers separated by a semicolon (e.g. RH18061;RH80175) allows the display of the entire chromosomal region associated with the mapping of a specific disease locus. ESTs for each tissue can then be displayed to help in the selection of candidate genes. In addition, sequences can be entered into a BLAT search and rapidly aligned on the genome, again showing eye derived ESTs for the same region. EyeBrowse includes a custom track display SAGE data for human eye tissues derived from the EyeSAGE project. The track shows the normalized sum of SAGE tag counts from all published eye-related SAGE datasets centered on the position of each identifiable Unigene cluster. This indicates relative activity of each gene locus in eye. Clicking on the vertical count bar for a particular location will bring up a display listing gene details and linking to specific SAGE counts for each eye SAGE library and comparisons with normalized sums for neural and non-neural tissues. To view or alter settings for the EyeSAGE track on EyeBrowse, click on the vertical gray bar at the left of the display. Other custom tracks display known eye disease genes and mapped intervals for candidate loci for retinal disease, cataract, myopia and cornea disease. These link back to further information at NEIBank. For mouse, there is custom track data for ChIP-on-Chip of RNA-Polymerase-II during photoreceptor maturation.

Proper citation: EyeBrowse (RRID:SCR_008000) Copy   

•   Source: SciCrunch Registry
  

https://cancer.dartmouth.edu/researchers/bioinformatics-resource.html

THIS RESOURCE IS NO LONGER IN SERVICE.Documented on July 29,2022. Core to support the implementation of bioinformatics resources for cancer research at Dartmouth. Provides consultation and collaboration for research projects of NCCC members, regular workshops, seminars, services including applied bioinformatics and data mining, computer programming and software engineering, database development and programming and high performance computing and systems administration.

Proper citation: Dartmouth-Hitchcock Bioinformatics Shared Resource (RRID:SCR_009758) Copy   

•   Source: SciCrunch Registry
  

http://howard.eagle-i.net/i/00000134-a517-1426-bf4c-ca4080000000

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on October 27,2023. Core for bioinformatics consultation and software access. Laboratory of Molecular Computations and Bioinformatics (LMCB) is a resource facility dedicated to the support of computational biomedical research at Howard University. Provides molecular modeling, molecular dynamics, bioinformatics, and computational quantum chemistry capabilities and support to a variety of research projects at Howard University.

Proper citation: Howard University Center for Computational Biology and Bioinformatics Core Facility (RRID:SCR_009864) Copy   

•   Source: SciCrunch Registry
  

http://harvard.eagle-i.net/i/0000012e-5e87-861a-55da-381e80000000

Core for data driven projects related to basic, clinical and translational research, with a particular emphasis on diabetes. Aims to ensure that researchers take advantage of the most modern and robust methods available in the field of Bioinformatics and Biostatistics.

Proper citation: Harvard Bioinformatics Core at Joslin Diabetes Center (RRID:SCR_009827) Copy   

•   Source: SciCrunch Registry
  

http://casestudies.brain-map.org/celltax

Cellular Taxonomy of Mouse Visual Cortex by analyzing gene expression patterns at single cell level. Construction of cellular taxonomy of one cortical region, primary visual cortex, in adult mice done on basis of single cell RNA sequencing.

Proper citation: CellTax vignette (RRID:SCR_017000) Copy   

•   Source: SciCrunch Registry
  

https://biosciencecores.umd.edu/proteomics.html

Facility is equipped withThermoFisher Orbitrap Fusion Lumos Tribrid mass spectrometer that is interfaced to Dionex Ultimate3000 RSLCnano HPLC system. Facility also maintains 2 separate data stations dedicated for proteomics data processing, database searching, and generation of reports.

Proper citation: Maryland University Proteomics Core Facility (RRID:SCR_017739) Copy   

•   Source: SciCrunch Registry
  

https://www.unmc.edu/vcr/cores/vcr-cores/flow-cytometry/index.html

Provides central location for flow cytometry instrumentation and education. Services include Flow Cytometry,Cell sorting, data analysis, training. Software packages to analyze data include ModFit LT, BD FACSDiva v6, Cell Quest Pro, and FlowJo vX, from facility workstations.

Proper citation: Nebraska University Medical Center Flow Cytometry Research Core Facility (RRID:SCR_017736) Copy   

•   Source: SciCrunch Registry