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http://54.235.254.95/histonehits/

A database for histone mutations and their phenotypes.

Proper citation: Histone Systematic Mutation Database (RRID:SCR_012015) Copy   

•   Source: SciCrunch Registry
  

http://dbcat.cgm.ntu.edu.tw/

A database of CpG islands and analytical tools for identifying comprehensive methylation profiles in cancer cells.

Proper citation: DBCAT (RRID:SCR_012014) Copy   

•   Source: SciCrunch Registry
  

http://www.cravat.us/

A web-based application designed with an easy-to-use interface to facilitate the high-throughput assessment and prioritization of genes and missense alterations important for cancer tumorigenesis.

Proper citation: CRAVAT (RRID:SCR_012776) Copy   

•   Source: SciCrunch Registry
  

http://appris.bioinfo.cnio.es/

A database that houses annotations of human splice isoforms. It adds reliable protein structural and functional data and information from cross-species conservation. A visual representation of the annotations for each gene allows users to easily identify functional changes brought about by splicing events. In addition to collecting, integrating and analyzing reliable predictions of the effect of splicing events, it also selects a single reference sequence for each gene, termed the principal isoform, based on the annotations of structure, function and conservation for each transcript.

Proper citation: APPRIS (RRID:SCR_012019) Copy   

•   Source: SciCrunch Registry
  

http://snp.ims.u-tokyo.ac.jp/

JSNP is a database of Japanese Single Nucleotide Polymorphisms. It includes BLAST capability, keyword search, mapping information, and other tools that allow users to gather information on SNP's. SNPs are the most common form of DNA sequence variation. They are useful polymorphic markers to investigate genes susceptible to diseases or those related to drug responsiveness. Furthermore, a small subset of SNPs directly influences to the quality and/or quantity of the gene product, and increase a risk to certain diseases and to severe side effect by drugs. Through a discovery of a large number of SNPs, we would like to contribute to identification of disease-related genes and also to establish a diagnostic method to avoid drug side-effect.

Proper citation: Japanese Single Nucleotide Polymorphisms (RRID:SCR_013076) Copy   

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http://www.physionet.org/physiobank/database/slpdb/

MIT-BIH Polysomnographic Database is a collection of recordings of multiple physiologic signals during sleep. Subjects were monitored in Boston''s Beth Israel Hospital Sleep Laboratory for evaluation of chronic obstructive sleep apnea syndrome, and to test the effects of constant positive airway pressure (CPAP), a standard therapeutic intervention that usually prevents or substantially reduces airway obstruction in these subjects. The database contains over 80 hours'' worth of four-, six-, and seven-channel polysomnographic recordings, each with an ECG signal annotated beat-by-beat, and EEG and respiration signals annotated with respect to sleep stages and apnea

Proper citation: MIT-BIH polysomnographic (RRID:SCR_013078) Copy   

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http://www.sdbonline.org/fly/aimain/1aahome.htm

The InterActive Fly is an online database of Drosophilia development and metazoan evolution. It contains information on biochemical pathways, organs, images, a cis-decoder, and EvoPrinter, a machine that allows users to identify Evolutionarily Resilient DNA Sequences.

Proper citation: Interactive Fly (RRID:SCR_012784) Copy   

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http://thenode.biologists.com/

The Node: a community site for development biologists

Proper citation: The Node (RRID:SCR_013071) Copy   

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https://omictools.com/fusiondb-tool

THIS RESOURCE IS NO LONGER IN SERVICE, documented August 23, 2016. FusionDB is a database of bacterial and archaeal gene fusion events - also known as Rosetta stones. Gene-fusion events are not the only resource to determine functional links between two proteins. Similar phylogenetic profiles and conserved chromosomal co-localization can also be used as an indicator for such interactions.

Proper citation: FusionDB (RRID:SCR_013314) 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://www.abrn.net/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on May 32,2023.

Proper citation: Austrailasian Biospecimen Network (RRID:SCR_013161) Copy   

•   Source: SciCrunch Registry
  

http://www.ebi.ac.uk/thornton-srv/databases/MACiE/

MACiE, which stands for Mechanism, Annotation and Classification in Enzymes, is a collaborative project on enzyme reaction mechanisms. MACiE currently contains 223 fully annotated enzyme reaction mechanisms, which comprise 218 EC numbers (161 EC sub-subclasses) and 310 distinct CATH codes. It is a joint effortbetween the Mitchell Group at the Unilever Centre for Molecular Informatics part of the University of Cambridge and the Thornton Group at the European Bioinformatics Institute.

Proper citation: MACiE (RRID:SCR_013296) Copy   

•   Source: SciCrunch Registry
  

http://www.ncbi.nlm.nih.gov/RefSeq/HIVInteractions/index.html

The Division of Acquired Immunodeficiency Syndrome (DAIDS) of the National Institute of Allergy and Infectious Diseases (NIAID) has initiated a project, in collaboration with Southern Research Institute and the National Center for Biotechnology Information (NCBI), designed to compile a comprehensive database of the described interactions between HIV-1 and cellular proteins. The goal of this project is to provide scientists in the field of HIV/AIDS research a concise, yet detailed, summary of all known interactions of HIV-1 proteins with host cell proteins, other HIV-1 proteins, or proteins from disease organisms associated with HIV/AIDS. This database has been designed to track the following information for each protein-protein interaction identified in the literature: * NCBI Reference Sequence (RefSeq) protein accession numbers. * NCBI Entrez Gene ID numbers. * Amino acids from each protein that are known to be involved in the interaction. * Brief description of the protein-protein interaction. * Keywords to support searching for interactions. * National Library of Medicine (NLM) PubMed identification numbers (PMIDs) for all journal articles describing the interaction.

Proper citation: HIV-1, Human Protein Interaction Database (RRID:SCR_013214) Copy   

•   Source: SciCrunch Registry
  

http://www.ebi.ac.uk/ena/search/

A nucleotide sequence similiary search tool which is far faster than BLAST for large datasets, with only a marginal loss in search sensitivity.

Proper citation: ENA Sequence Search (RRID:SCR_013170) Copy   

•   Source: SciCrunch Registry
  

http://www.scmbb.ulb.ac.be/Users/benoit/LigASite

A gold-standard dataset of biologically relevant binding sites in protein structures. It consists of proteins with one unbound structure and at least one structure of the protein-ligand complex. Both a redundant and a non-redundant (sequence identity lower than 25) version is available. Quaternary structures proposed by PQS (2) are used for all structures in the dataset. The availability of both unbound and bound structures for each protein guarantees that our dataset can be used to benchmark binding site prediction methods, in conditions that mimic cases where the binding site is truly unknown. In cases where several different bound structures are available for a given protein, all are used to define the binding sites.

Proper citation: LIGand Attachment SITE Database (RRID:SCR_013172) Copy   

•   Source: SciCrunch Registry
  

http://www.dbali.org

DBAli is a database that includes a comprehensive all-against-all comparison of protein structures in the PDB database. It is not currently being updated; however, updates should resume in the near future. All pairwise structural comparisons in DBAli have been obtained using the MAMMOTH program developed in the group of Prof. Angel R. Ortiz. All multiple structure alignments in DBAli have been obtained using the SALIGN command in MODELLER developed in the group of Prof. Andrej Sali.

Proper citation: DBAli. A Database of Structure Alignments. (RRID:SCR_013418) Copy   

•   Source: SciCrunch Registry
  

http://www.domins.org/

DomIns is a web resource aimed at providing comprehensive information on domain insertions in proteins of known structure. We have followed the definition of protein domains as in the SCOP (Structural Classification of Proteins) database in order to identify insertions. We have considered only the major five classes (All-alpha, All-beta, alpha/beta, alpha+beta and Small Proteins), the fold and the superfamily level of SCOP hierarchy for identifying insertions. Apart from browsing insertions in whole PDB, we also provide an option to browse insertions in a pre-computed list of non-redundant PDB chains provided by PDB_Select with a sequence identity threshold of 90%.

Proper citation: DomIns: A Web Resource for Domain Insertions in Known Protein Structures (RRID:SCR_013417) Copy   

•   Source: SciCrunch Registry
  

http://knottin.cbs.cnrs.fr/

The KNOTTIN database provides standardized data on the knottin structural family (also referred to as the Inhibitor Cystine Knot (ICK) motif/family/fold). Knottins are intriguing miniproteins with strong potential in drug design. This knot is achieved when one disulfide bridge crosses the macrocycle formed by the two other disulfides and the interconnecting backbone.

Proper citation: KNOTTIN database (RRID:SCR_013263) Copy   

•   Source: SciCrunch Registry
  

http://www.h-invitational.jp/

H-Invitational Database (H-InvDB) is an integrated database of human genes and transcripts. By extensive analyses of all human transcripts, we provide curated annotations of human genes and transcripts that include gene structures, alternative splicing isoforms, non-coding functional RNAs, protein functions, functional domains, sub-cellular localizations, metabolic pathways, protein 3D structure, genetic polymorphisms (SNPs, indels and microsatellite repeats) , relation with diseases, gene expression profiling, and molecular evolutionary features , protein-protein interactions (PPIs) and gene families/groups. This database is produced by the Genome Information Integration Project (2005-) based upon the annotation technology established in the H-Invitational Project for annotation of human full-length cDNAs.

Proper citation: H-InvDB (RRID:SCR_013265) Copy   

•   Source: SciCrunch Registry
  

http://bioinformatics.biol.uoa.gr/ExTopoDB/

A publicly accessible database of experimentally derived topological models of transmembrane proteins. It contains experimental information about the topology of 2143 transmembrane proteins. This information was collected from studies in the literature that reported the use of biochemical methods for the determination of the topology of transmembrane proteins. Each record contains unique information about the given protein, such as its sequence, cross-references to many publicly available databases worldwide, the protein''s name and organism source. The web interface of the database offers the user the ability to submit advanced queries for text search within ExTopoDB''s protein entries and there is also an interface for running BLAST against the database. Furthermore, the results of topology prediction using the HMM-TM algorithm are included for each protein in the database (unconstrained prediction) and we also incorporated the experimental information about the topology of the proteins in the HMM-TM prediction procedure, producing more reliable topology models (constrained prediction).

Proper citation: ExTopoDB (RRID:SCR_013143) Copy   

•   Source: SciCrunch Registry