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http://bnaber.org

bNAber is the Broadly Neutralizing Antibody E-Resource Database, analysis, visualization, and data discovery tool for broadly neutralizing HIV-1 antibodies (bNAbs). bNAber seeks to be a vital tool in the search for an AIDS vaccine.

Proper citation: bNAber (RRID:SCR_010510) Copy   

•   Source: SciCrunch Registry

http://hol.osu.edu/

An online database mainly about the order Hymenoptera. It contains some 115,000 species and literally millions of specimens in collections around the world. Some parts of this database have extensive information available (e.g., Proctotrupoidea, Platygastroidea, Ceraphronoidea, Apoidea), even to the level of specimens (see Platygastridae, Pelecinidae, Monomachidae, Stephanidae). These data have been gathered with the collaboration of a number of colleagues. Other taxa still need work. Hymenoptera Online (HOL) is no longer solely dedicated to Hymenoptera as recent acquisitions have expanded the taxonomic scope of this resource to include Hemiptera, Coleoptera, Mites, Fishes, and others with the help of a number of tireless collaborators. If you would like to contribute to the further development and enhancement of this resource or need technical assistance related to Hymenoptera Online services, please contact HOL Help, Norman F. Johnson, or the HOL Google+ Page. Search for taxa, collections, authors, collectors and specimens by typing your simple query in the text box below. Taxon name searches are case-sensitive and a wildcard (%) will automatically be appended to the end of your query (e.g. Telenomus); the same applies to collectors and authors (e.g. Johnson), collections (e.g. CNC), places (e.g. Bahia), journals (e.g. Memoirs), and specimen searches by specimen ID (e.g. ANIC DB 32).

Proper citation: HOL (RRID:SCR_010237) Copy   

•   Source: SciCrunch Registry

http://aad.archives.gov/aad/

Database of the U.S. National Archives and Records Administration that allows users to search by keyword or category. Specific topics in personal history, private sectors, places, wars or time periods can be chosen to help filter your research findings of the 85 million electronic records that have been made available.

Proper citation: Access to Archival Databases (RRID:SCR_010479) 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://www.snps3d.org/

A website which assigns molecular functional effects of non-synonymous SNPs based on structure and sequence analysis.

Proper citation: SNPs3D (RRID:SCR_010787) Copy   

•   Source: SciCrunch Registry

http://agbase.msstate.edu/cgi-bin/maizecandidates/index.cgi

A relational database with dynamic querying and data integration that can be used by researchers to identify genetic sequences with a high probability of being associated with aflatoxin accumulation resistance, according to multiple lines of evidence. CFRAS-DB integrates genomic, proteomic, and genetic data from multiple studies in maize dealing with aflatoxin accumulation or Aspergillus flavus resistance., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: Corn Fungal Resistance Associated Sequences Database (RRID:SCR_010644) Copy   

•   Source: SciCrunch Registry

http://www.hsls.pitt.edu/

Database access to information services, educational opportunities, and resources in print and electronic format to faculty, students, and researchers in the schools of the health sciences.

Proper citation: University of Pittsburgh, Health Sciences Library System (RRID:SCR_011975) Copy   

•   Source: SciCrunch Registry

http://cosmoss.org/bm/plantapdb

A phylogeny-based comprehensive database of plant transcription associated proteins.

Proper citation: PlanTAPDB (RRID:SCR_010897) Copy   

•   Source: SciCrunch Registry

http://www.vaccineinjury.info/vaccine-damage-reports-2010.html

Database of case reports of adverse reactions to vaccinations. There are 806 reports (May 2013). If you would like to report a case, please go to report your own vaccine reaction. The user may search by keywords or sort by vaccine, country, age, outcome, gender and hospital admission.

Proper citation: Vaccine damage reports database (RRID:SCR_010740) Copy   

•   Source: SciCrunch Registry

http://www.cancerrxgene.org/

A genomics database project is an academic research program to identify molecular features of cancers that predict response to anti-cancer drugs.

Proper citation: Genomics of Drug Sensitivity in Cancer (RRID:SCR_011956) 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://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://epi.grants.cancer.gov/CFR/about_colon.html

It is an international research infrastructure for investigators interested in conducting population and clinic-based interdisciplinary studies on the genetic and molecular epidemiology of colon cancer and its behavioral implications. A central goal of the C-CFR is the translation of this research to the clinical and prevention setting for the benefit of Registry participants and the general public. The C-CFR has information and biospecimens contributed by greater than 11,300 families across the spectrum of risk for colon cancers and from population-based or relative controls. Of particular interest are: identification and characterization of cancer susceptibility genes definition of gene-gene and gene-environment interactions in cancer etiology translational, preventive, and behavioral implications of research findings Special features include: population-based and clinic-based ascertainment systematic collection of validated family history epidemiologic risk factor data clinical and follow-up data biospecimens (including tumor blocks and EBV transformed cell lines) ongoing molecular characterization of the participating families Goals: to contribute to the development of public health measures for the general population by increasing knowledge on genetic factors affecting cancer susceptibility and modification by environmental and lifestyle factors to protect those with increased susceptibility from developing cancer to provide life-prolonging treatment to genetically susceptible individuals Objectives: to establish a comprehensive research resource infrastructure to assist with the implementation of collaborative, interdisciplinary research protocols in the genetic epidemiology of cancer to identify, characterize, and follow-up a cohort of individuals and their family members, spanning the spectrum of cancer risk to identify diverse genetically susceptible populations that could benefit from enrollment in preventive and therapeutic interventions to develop an adaptive and evolving informatics model to support ongoing and future research consortia Sponsor. This study was supported by National Cancer Institute Grants R01 CA47147, R01 CA47305, and R01 CA69664.

Proper citation: Colon CFR (RRID:SCR_013162) 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://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.phenomicdb.de/

PhenomicDB is a multi-organism phenotype-genotype database including human, mouse, fruit fly, C.elegans, and other model organisms. The inclusion of gene indices (NCBI Gene) and orthologs (same gene in different organisms) from HomoloGene allows to compare phenotypes of a given gene over many organisms simultaneously. PhenomicDB contains data from publicly available primary databases: FlyBase, Flyrnai.org, WormBase, Phenobank, CYGD, MatDB, OMIM, MGI, ZFIN, SGD, DictyBase, NCBI Gene, and HomoloGene. We brought this wealth of data into a single integrated resource by coarse-grained semantic mapping of the phenotypic data fields, by including common gene indexes (NCBI Gene), and by the use of associated orthology relationships (HomoloGene). PhenomicDB is thought as a first step towards comparative phenomics and will improve the understanding of the gene functions by combining the knowledge about phenotypes from several organisms. It is not intended to compete with the much more dedicated primary source databases but tries to compensate its partial loss of depth by linking back to the primary sources. The basic functional concept of PhenomicDB is an integrated meta-search-engine for phenotypes. Users should be aware that comparison of genotypes or even phenotypes between organisms as different as yeast and man can have serious scientific hurdles. Nevertheless finding that the phenotype of a given mouse gene is described as ��similar to psoriasis�� and at the same time that the human ortholog has been described as a gene causing skin defects can lead to novelty and interesting hypotheses. Similarly, a gene involved in cancer in mammalian organisms could show a proliferation phenotype in a lower organism such as yeast and thus, give further insights to a researcher.

Proper citation: PhenomicDB (RRID:SCR_013051) Copy   

•   Source: SciCrunch Registry