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http://www.msbrainbank.org.au/

Biomaterial supply resource which provides high quality and well-chracaterized brain tissue samples for MS research. Registered MS brain donors and their families are kept up to date on the latest progress in MS research.

Proper citation: Multiple Sclerosis Research Australia Brain Bank (RRID:SCR_010747) Copy   

•   Source: SciCrunch Registry

http://clinpsyc.blogspot.com/index.html

Clinical Psychology and Psychiatry: A Closer Look Psychiatric medications, science, marketing, psychiatry in general, and occasionally clinical psychology. Questioning the role of key opinion leaders and the use of science to promote commercial ends rather than the needs of people with mental health concerns.

Proper citation: Clinical Psychology and Psychiatry: A Closer Look (RRID:SCR_010591) Copy   

•   Source: SciCrunch Registry

http://www0.nfh.uit.no/mabcent/

Not yet vetted by NIF curator

Proper citation: Marbank - National Marine BioBank (RRID:SCR_010592) Copy   

•   Source: SciCrunch Registry

http://old.genedb.org/genedb/pombe/index.jsp

THIS RESOURCE IS NO LONGER IN SERVICE documented June 6, 2013 Database of all S. pombe (fission yeast) known and predicted protein coding genes, pseudogenes, transposons, tRNAs, rRNAs, snRNAs, snoRNAs and other known and predicted non-coding RNAs. Curation of new and existing literature is ongoing and changes are incorporated weekly. User feedback is welcome. The genome of fission yeast (Schizosaccharomyces pombe), which contains the smallest number of protein-coding genes yet recorded for a eukaryote: 4,824, has been sequenced and annotated. The centromeres are between 35 and 110 kilobases (kb) and contain related repeats including a highly conserved 1.8-kb element. Regions upstream of genes are longer than in budding yeast (Saccharomyces cerevisiae), possibly reflecting more-extended control regions. Some 43% of the genes contain introns, of which there are 4,730. Fifty genes have significant similarity with human disease genes; half of these are cancer related. We identify highly conserved genes important for eukaryotic cell organization including those required for the cytoskeleton, compartmentation, cell-cycle control, proteolysis, protein phosphorylation and RNA splicing. These genes may have originated with the appearance of eukaryotic life. Few similarly conserved genes that are important for multicellular organization were identified, suggesting that the transition from prokaryotes to eukaryotes required more new genes than did the transition from unicellular to multicellular organization.

Proper citation: GeneDB Spombe (RRID:SCR_010639) Copy   

•   Source: SciCrunch Registry

http://biorepository.pathology.ufl.edu/for-investigators/apply-for-tissue/

Tissue bank that handles human tissue.

Proper citation: University of Florida Molecular Tissue Bank (RRID:SCR_010599) Copy   

•   Source: SciCrunch Registry

http://www.meduniwien.ac.at/akh-biobank/Biobank.html

Not yet vetted by NIF curator

Proper citation: MUW Biobank (RRID:SCR_010632) Copy   

•   Source: SciCrunch Registry

https://tmc.gov.in/actrec/index.php/tissue-bank

Not yet vetted by NIF curator

Proper citation: Tata Memorial Hospital Tissue Bank (RRID:SCR_010633) Copy   

•   Source: SciCrunch Registry

http://www.ars.usda.gov/Services/docs.htm?docid=6065

Performs studies demonstrating the nutritional and biochemical effects of trace elements with special emphasis on chromium. Performs studies to elucidate the role of natural products in the improvement of the function of insulin with emphasis on polyphenols from tea and cinnamon. Performs studies on the role of dietary polyphenols on neuropathological changes including those associated with Alzheimers disease. The ultimate goal of the research is to prevent or alleviate early signs and symptoms of the metabolic syndrome which is important in the prevention of type 2 diabetes, cardiovascular, Alzheimers and related diseases. Our database is focused on immunologically-related genes classified under the following categories: Apoptosis CD markers Chemokines Chemokine receptors Cytokines Cytokine receptors Dendritic cell associated genes Type 1 IFN induced proteins Inflammation NFKB signaling pathway Toll receptor signaling pathway T cell activation TH1 cell development TH2 cell development Partners. Partnering with the Diet, Genomics, and Immunology Laboratory

Proper citation: DGIL Porcine Immunology and Nutrition Datebase (RRID:SCR_012743) Copy   

•   Source: SciCrunch Registry

http://www.findbase.org

FINDbase Worldwide is an online repository of information about the frequency of different mutations leading to inherited disorders in various populations around the globe. Frequency data about 32 disorders, 25 genes within 98 populations covering 1226 mutations is now available. 28 curators worldwide contributed to this database containing data from 37 submissions.

Proper citation: FINDbase Worldwide (RRID:SCR_012744) Copy   

•   Source: SciCrunch Registry

http://www.violinet.org

A web-based central resource that integrates vaccine literature data mining, vaccine research data curation and storage, and curated vaccine data analysis for vaccines and vaccine candidates developed against various pathogens of high priority in public health and biological safety. The vaccine data includes research data from vaccine studies using humans, natural and laboratory animals.VIOLIN extracts and stores vaccine-related, peer-reviewed papers from PubMed. Several powerful literature searching and data mining programs have been developed. These include an advanced keywords search program, a natural languagae processing (NLP) based literature retrieval program, a MeSH-based literature browser, and a literature alert program. Registered users can subscribe to our email alert service and will be notified of any newly published vaccine papers in the areas of interest. These literature mining programs are designed to help the user and VIOLIN database curators to find efficiently needed vaccine articles and sentences within full-text articles that contain searched keywords or categories.A web-based literature mining and curation system (Limix) is available for registered users/curators to search, curate, and submit structured vaccine data into the VIOLIN database. The curated vaccine-related information contains many categories such as general pathogenesis, protective immunity, vaccine preparation and characteristics, host responses including vaccination protocol and efficacy against virulent pathogen infections. All data within the database is edited manually and is derived primarily from peer-reviewed publications. The curated data is stored in a relational database and can be queried using various VIOLIN search programs. Vaccine-related pathogen and host genes are annotated and available for searchs based on a customized BLAST program. All VIOLIN data are available for download into an XML-based data exchange format.VIOLIN is designed to be a vital source of vaccine information and will provide researchers in basic and clinical sciences with curated data and bioinformatics tools to facilitate understanding and development of vaccines to fight infectious diseases. Category: Other Molecular Biology Databases Subcategory: Drugs and drug design

Proper citation: VIOLIN: Vaccine Investigation and Online Information Network (RRID:SCR_012749) Copy   

•   Source: SciCrunch Registry

http://regtransbase.lbl.gov

It consists of two modules - a database of regulatory interactions based on literature and an expertly curated database of transcription factor binding sites. The literature based information in RegTransBase is a manually curated database of regulatory interactions in prokaryotes, captures the knowledge in published scientific literature using a controlled vocabulary. RegTransBase describes a large number of regulatory interactions reported in many organisms and contains various types of experimental data, in particular: * the activation or repression of transcription by an identified direct regulator * determining the transcriptional regulatory function of a protein (or RNA) directly binding to DNA or RNA * mapping or prediction of binding sites for a regulatory protein * characterization of regulatory mutations The analysis section of RegtransBase is based on a set of manually curated alignments of transcription factor binding sites and allows you to search for new binding sites and verify conservation of bindings sites across multiple species through the use of web based analysis tools.

Proper citation: RegTransBase (RRID:SCR_013047) Copy   

•   Source: SciCrunch Registry

http://www.GABI-Kat.de

GABI-Kat is a database of flanking sequence tags (FSTs) from T-DNA mutagenised A. thaliana plants. Over time, an increasing number of lines will become available from NASC. The "show sequence" page of SimpleSearch will display if a GABI-Kat line for a given FST has already been donated to NASC. Lines that have so far not been regrown and confirmed are only available from GABI-Kat directly. We have used four vectors: pAC106 (GenBank:AJ537513), pAC161 (GenBank:AJ537514), pGABI1 (GenBank:AY529716) and pADIS1 (GenBank:AY529717). Sequence and overview map data of all vectors are available from the download page. Features of interest which are not included in the map should be deduced from the sequence. For a specified line, the vector is displayed in the "Show Sequence" page of SimpleSearch.

Proper citation: GABI-KAT (RRID:SCR_012751) Copy   

•   Source: SciCrunch Registry

http://cfgp.riceblast.snu.ac.kr/main.php

The CFGP (Comparative Fungal Genomics Platform) was designed for comparative genomics projects with diverse fungal genomes.
The CFGP provides important bioinformatic tools, such as BLAST search, ClustalW analysis, InterPro Scan, SignalP, and PSORT2, which are very common tools for the researchers in the field of genomics. Many of them have been executed in the unix environment, so some specific computing knowledge is required. In the CFGP, users can use these tools simply by clicking their mouse button. In addition, all of the results of the analysis will be stored in the CFGP, so you can easily share those results with other members.

Proper citation: Comparative Fungal Genomics Platform (RRID:SCR_012910) Copy   

•   Source: SciCrunch Registry

http://www.ebi.ac.uk/Tools/sss/wublast/

Tool to find regions of sequence similarity within selected protein databases quickly, with minimum loss of sensitivity.

Proper citation: WU-BLAST (RRID:SCR_011824) Copy   

•   Source: SciCrunch Registry

http://data-analysis.charite.de/care/

Comprehensive database of cancer relevant proteins and compound interactions supported by experimental knowledge.Knowledgebase for drug-target relationships related to cancer as well as for supporting information or experimental data.

Proper citation: CancerResource (RRID:SCR_011945) Copy   

•   Source: SciCrunch Registry

http://bcbio.wordpress.com/

This blog will appeal to those dealing with the practical day to day work of biological data analysis and presentation.

Proper citation: Blue Collar Bioinformatics (RRID:SCR_012913) 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

http://www.benoslab.pitt.edu/comir/

Data analysis service that predicts whether a given mRNA is targeted by a set of miRNAs. ComiR uses miRNA expression to improve and combine multiple miRNA targets for each of the four prediction algorithms: miRanda, PITA, TargetScan and mirSVR. The composite scores of the four algorithms are then combined using a support vector machine trained on Drosophila Ago1 IP data.

Proper citation: ComiR (RRID:SCR_013023) Copy   

•   Source: SciCrunch Registry

http://comet.gobics.de/

A web-server for fast comparative functional profiling of metagenomes.

Proper citation: CoMet (RRID:SCR_011925) Copy   

•   Source: SciCrunch Registry

http://www.sph.uth.tmc.edu/RetNet/disease.htm

RetNet provides tables of genes and loci causing inherited retinal diseases, such as retinitis pigmentosa, macular degeneration and Usher syndrome, and related information. This information is provided to the research community and other interested individuals for research purposes only. The information should not be used for medical or commercial purposes. Although we strive for accuracy and completeness, we cannot guarantee that all information is correct and complete. We welcome comments and suggestions!

Proper citation: Retinal Information Network (RRID:SCR_012733) Copy   

•   Source: SciCrunch Registry