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http://www.whocc.no/atcddd/

The official compendium for the Anatomical Therapeutic Chemical Classification System (ATC)-code descriptions. The Centre's main tasks are development and maintenance of the ATC/DDD system, including: * To classify drugs according to the ATC system. * Priority will be given to the classification of single substances, while combination products available internationally (i.e. important fixed combinations) will be dealt with as far as possible. * To establish DDDs for drugs which have been assigned an ATC code. * To review and revise as necessary the ATC classification system and DDDs. * To stimulate and influence the practical use of the ATC system by co-operating with researchers in the drug utilization field. Support: The WHO Collaborating Centre for Drug Statistics Methodology was established in 1982. The Centre is situated in Oslo at the Norwegian Institute of Public Health. The Centre is funded by the Norwegian government.

Proper citation: WHO Collaborating Centre for Drug Statistics Methodology (RRID:SCR_000677) Copy   

•   Source: SciCrunch Registry

http://mip.pharmacology.ucla.edu/Default.aspx

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 2, 2022. A database of molecular imaging probes for various diseases, such as Parkinson's disease, dopamine disorder and prion disorders.

Proper citation: Molecular Imaging Probes (RRID:SCR_000438) Copy   

•   Source: SciCrunch Registry

http://www-bioc.rice.edu/~shamoo/prid.html

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 2,2022. It is a repository of interactions found by Entangle and compiled into various tables for use by the RNA community. This data does not have a user interface, but data can be accessed in tables. It contains raw Excel/Access Databases and data processed into useful Figures for people who don't want to wade through the primary data. At present it contains informations from 42 PDBs.

Proper citation: Protein-RNA Interaction Database (RRID:SCR_000398) Copy   

•   Source: SciCrunch Registry

http://mousesnp.roche.com/

THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 17, 2013. This website contains a database of the mouse SNP. DNA sequencing was performed along with genotyping. There is information on genotyping, mouse strain, and haplotype map.

Proper citation: Mouse Single Nucleotide Polymorphism Database (RRID:SCR_000033) Copy   

•   Source: SciCrunch Registry

http://stdgen.northwestern.edu/stdgen/bacteria/hhv1/

THIS RESOURCE IS NO LONGER IN SERVICE, documented on August 26, 2016. The scope of the project includes molecular information pertaining to oral pathogens, bacterial and viral. The website contains a table of protein-protein interactions for human herpesvirus 1. It is operated for the U.S. Department of Energy's National Nuclear Security Administration.

Proper citation: Protein-Protein Interactions Table for Human herpesvirus 1 (RRID:SCR_000397) Copy   

•   Source: SciCrunch Registry

http://www.itmat.upenn.edu/cohsi.html

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 30,2023. Informatics core for the purpose of promoting clinical research by collecting data from the Penn Health System.

Proper citation: Penn Community Outreach Using Health System Informatics Core (RRID:SCR_000304) Copy   

•   Source: SciCrunch Registry

http://bovinegenome.org/

Database and integrated tools to improve annotation of the bovine genome and to integrate the genome sequence with other genomics data.

Proper citation: Bovine Genome Database (RRID:SCR_000148) Copy   

•   Source: SciCrunch Registry

http://www.youtube.com/user/GoogleTechTalks

Google Tech Talks is a grass-roots program at Google for sharing information of interest to the technical community. At its best, it's part of an ongoing discussion about our world featuring top experts in diverse fields. Presentations range from the broadest of perspective overviews to the most technical of deep dives, on topics well-established to wildly speculative.

Proper citation: Google Tech Talks - YouTube (RRID:SCR_000189) Copy   

•   Source: SciCrunch Registry

http://www.proquest.com/products-services/databases/pqdtglobal.html

ProQuest Dissertations and Theses Full text is a comprehensive collection of dissertations and theses, as well as the official digital dissertations archive for the Library of Congress and the database of record for graduate research. PQDT Full Text includes nearly 3 million searchable citations to dissertations and theses available for download in PDF format. The database offers full text for most of the dissertations added since 1997 and strong retrospective full-text coverage for older graduate works. Full-text dissertations are archived as submitted by the degree-granting institution. Each dissertation published since July 1980 includes a 350-word abstract written by the author. Masters theses published since 1988 include 150-word abstracts. Simple bibliographic citations are available for dissertations dating from 1637. ProQuest Dissertations and Theses Full Text also offers researchers unlimited access to digital copies from their own institutions as well as affordable copies from others.

Proper citation: ProQuest Dissertations and Theses Global (RRID:SCR_000619) Copy   

•   Source: SciCrunch Registry

http://www.cags.org.ae

The CTGA database is a database for genetic disorders in Arab populations. It hosts entries for Mendelian disorders and related genes, and currently contains nearly 1290 entries. Its goal is to facilitate further research on Arab genomic diseases.

Proper citation: Catalogue for Transmission Genetics in Arabs (RRID:SCR_000730) Copy   

•   Source: SciCrunch Registry

http://genome.tugraz.at/

THIS RESOURCE IS NO LONGER IN SERVICE, documented July 22, 2016. A database that integrates information on the function and properties of genes and their protein products relevant to lipid-associated disorders. GOLD.db provides information such as the biology, diagnosis management, treatment and prevention of such disorders like non-insulin dependent diabetes, various hyperlipedemias, high blood pressure and atherosclerosis. Resources include the biological pathways, data sets, microarray protocols and other experimental standards, analytical tools, and reagents.

Proper citation: GOLD.db - Genomics Of Lipid-associated Disorders (RRID:SCR_000736) Copy   

•   Source: SciCrunch Registry

http://gpcr.biocomp.unibo.it/esldb

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 22,2022. database of protein subcellular localization annotation for eukaryotic organisms. It contains experimental annotations derived from primary protein databases, homology based annotations and computational predictions.

Proper citation: eSLDB - eukaryotic Subcellular Localization database (RRID:SCR_000052) Copy   

•   Source: SciCrunch Registry

http://www.butterflybase.org

An open-access Genomic Database for Lepidoptera. It includes all the Lepidoptera cDNA sequences available in NCBI's dbEST. Support for genomic-DNA sequences such as BACs and the Bombyx mori genome is being generated. Tools available on this website include BLAST search, Annotation search, Primer design, and Microsatellite repeat finders. Users can also download all data and sequences. Within the site, the Expressed Sequence Tag sequences are made with Trace2dbest from raw sequence data if available or downloaded from NCBI. We cluster them using PartiGene into gene-objects to reduce redundancy. Subsequently, we perform hierarchical BLAST searches to provide accurate similarity annotation and a robust protein translation protocol using prot4EST. Putative proteins objects have been further annotated with the Gene Ontology biological vocabulary (GO terms) and InterPro (EBI) domains to facilitate gene-hunters. The repository is open for all Lepidopteran researchers.

Proper citation: ButterflyBase (RRID:SCR_000727) Copy   

•   Source: SciCrunch Registry

http://www.cangem.org/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September23, 2022. Cancer GEnome Mine is a public database for storing clinical information about tumor samples and microarray data, with emphasis on array comparative genomic hybridization (aCGH) and data mining of gene copy number changes. Within the website, users can browse microarray data or perform searches by hospital/disease classification/pathology/clinical presentation and other methods.

Proper citation: Cancer GEnome Mine (RRID:SCR_000728) Copy   

•   Source: SciCrunch Registry

http://biozon.org

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 23,2022. Biozon is a unified biological resource on DNA sequences, proteins, complexes and cellular pathways. It currently provides data on pairwise similarities between proteins, the domain structure of proteins, structural similarities, threading-based and profile-profile similarities between protein families. Additional information about 3D models, predicted protein-protein interactions, assignment of genes to pathways and expression data analysis, as well as local and global maps of the protein space will be gradually added to Biozon.

Proper citation: Biozon (RRID:SCR_000725) Copy   

•   Source: SciCrunch Registry

http://lifespandb.sageweb.org/

Database that collects published lifespan data across multiple species. The entire database is available for download in various formats including XML, YAML and CSV.

Proper citation: Lifespan Observations Database (RRID:SCR_001609) Copy   

•   Source: SciCrunch Registry

http://www.flyprot.org/

Allows annotation of gene expression at all stages of development and tissue types (including sub cellular location) using standard Drosophila anatomy ontology. All methods of input use a controlled vocabulary to ensure data integrity.

Proper citation: Flannotator (RRID:SCR_001608) Copy   

•   Source: SciCrunch Registry

http://interolog.gersteinlab.org/

Interolog/Regulog quantitatively assess the degree to which interologs can be reliably transferred between species as a function of the sequence similarity of the corresponding interacting proteins.

Proper citation: Interolog/Regulog Database (RRID:SCR_000755) Copy   

•   Source: SciCrunch Registry

http://cddb.nhlbi.nih.gov/cddb/

THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 16, 2013. This database is intended to serve as a learning tool to obtain curated information for the design of microarray targets to scan collecting duct tissues (human, rat, mouse). The database focuses on regulatory and transporter proteins expressed in the collecting duct, but when collecting duct proteins are a member of a larger family of proteins, common additional members of the family are included even if they have not been demonstrated to be expressed in the collecting duct. An Internet-accessible database has been devised for major collecting duct proteins involved in transport and regulation of cellular processes. The individual proteins included in this database are those culled from literature searches and from previously published studies involving cDNA arrays and serial analysis of gene expression (SAGE). Design of microarray targets for the study of kidney collecting duct tissues is facilitated by the database, which includes links to curated base pair and amino acid sequence data, relevant literature, and related databases. Use of the database is illustrated by a search for water channel proteins, aquaporins, and by a subsequent search for vasopressin receptors. Links are shown to the literature and to sequence data for human, rat, and mouse, as well as to relevant web-based resources. Extension of the database is dynamic and is done through a maintenance interface. This permits creation of new categories, updating of existing entries, and addition of new ones. CDDB is a database that organizes lists of genes found in collecting duct tissues from three mammalian species: human, rat, and mouse. Proteins are divided into categories by family relationships and functional classification, and each category is assigned a section in the database. Each section includes links to the literature and to sequence information for genes, proteins, expressed sequence tags, and related information. The user can peruse a section or use a search engine at the bottom of the web page to search the database for a name or abbreviation or for a link to a sequence. Each entry in the database includes links to relevant papers in the kidney and collecting duct literature. It uses links to PubMed to generate MEDLINE searches for retrieval of references. In addition, each entry includes links to curated sequence data available in LocusLink. Individual links are made to sequence and protein data for human, rat, and mouse. Links are then added as curated sequences become available for proteins identified in the renal collecting duct and for proteins identified in kidney and similar in function or homologous to proteins identified in the collecting duct.

Proper citation: Collecting Duct Database (RRID:SCR_000759) Copy   

•   Source: SciCrunch Registry

http://cmbi.bjmu.edu.cn/mirsnp

Database of human SNPs in predicted miRNA-mRNA binding sites, based on information from dbSNP135 and mirBASE18. MirSNP is highly sensitive and covers most experiments confirmed SNPs that affect miRNA function. MirSNP may be combined with researchers' own GWAS or eQTL positive data sets to identify the putative miRNA-related SNPs from traits/diseases associated variants. They aim to update the MirSNP database as new versions of mirBASE and dbSNP database become available.

Proper citation: MirSNP (RRID:SCR_001629) Copy   

•   Source: SciCrunch Registry