Tools   Select Another Resource Report Type

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://www.labspaces.net/view_blog.php?ID=15

Blog about technology, molecular biology, and editorial comments on the current state of science on the internet. Brian Krueger PhD, is the owner, creator and coder of LabSpaces by night and a Molecular biologist by day. His posts are presented as opinion and commentary and do not represent the views of LabSpaces Productions, LLC, his employer, or his educational institution.

Proper citation: H2SO4Hurts (RRID:SCR_000686) 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://www.tatb.org/tatb_classic/index.html

THIS RESOURCE IS NO LONGER IN SERVICE, documented May 9, 2017.

Proper citation: Bangkok Biomaterial Center (RRID:SCR_000328) Copy   

•   Source: SciCrunch Registry

http://www.glycosciences.de/tools/sumo/

Service that searches carbohydrate structures for motifs commonly used for carbohydrate classification, like N- and O-glycan cores, Lewis antigens, etc. Note: Sumo is currently under construction. Motif searches are a frequently used tool in proteomics. For carbohydrate structures, there are also many motifs classified in the literature, e.g. the Lewis antigens or the diverse O-glycan core structures. Sumo is a tool to locate such motifs in a carbohydrate structure given in LINUCS or in IUPAC nomenclature., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: sumo (RRID:SCR_001572) Copy   

•   Source: SciCrunch Registry

http://www.cbs.dtu.dk/services/gwBrowser/

An interactive web application for visualizing genomic data of sequenced prokaryotic chromosomes. It allows users to carry out various analyses such as mapping alignments of homologous genes to other genomes, mapping of short sequencing reads to a reference chromosome, and calculating DNA properties such as curvature or stacking energy along the chromosome. The GeneWiz browser produces an interactive graphic that enables zooming from a global scale down to single nucleotides, without changing the size of the plot. Its ability to disproportionally zoom provides optimal readability and increased functionality compared to other browsers. The tool allows the user to select the display of various genomic features, color setting and data ranges. Custom numerical data can be added to the plot allowing, for example, visualization of gene expression and regulation data. Further, standard atlases are pre-generated for all prokaryotic genomes available in GenBank, providing a fast overview of all available genomes, including recently deposited genome sequences.

Proper citation: GeneWiz browser (RRID:SCR_001454) Copy   

•   Source: SciCrunch Registry

http://www.ctsi.umn.edu/consultations-and-services/specimen-procurement/histology-and-ihc-laboratory

Lab based at the University of Minnesota that provides histology services, including frozen sectioning, tissue grossing, fixation, and sectioning, optimization and performance of immunohistochemistry (IHC).

Proper citation: University of Minnesota Histology and Immunohistochemistry Laboratory (RRID:SCR_001056) 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://www.msbioworks.com/

A protein mass spectrometry service provider that delivers data to industrial and government organizations as well as academic institutions. Protein services include protein identification, mapping, profiling, and mass measurement. Post-translational modification services include PTM profiling, phospho-screening, and glyco-screening. Quantitative proteomics services include workflows for label free, TMT, SILAC, and PRM. MS Bioworks also provides immunoprecipitated protein analysis and custom analysis.

Proper citation: MS Bioworks (RRID:SCR_001043) 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

http://www.worm.mpi-cbg.de/phenobank/cgi-bin/ProjectInfoPage.py

A database that provides primary data from two high-content screens that profile the set of ~900 essential C. elegans genes (~5% of the genome) required for embryo production and/or events during the first two embryonic divisions. Phenobank houses the movies, scored defects, and phenotypic classification data for the embryo-filming and gonad morphology screens.

Proper citation: PhenoBank (RRID:SCR_000930) Copy   

•   Source: SciCrunch Registry

http://www.bioguo.org/AnimalTFDB/

A comprehensive transcription factor (TF) database in which they identified and classified all the genome-wide TFs in 50 sequenced animal genomes (Ensembl release version 60). In addition to TFs, it also collects transcription co-factors and chromatin remodeling factors of those genomes, which play regulatory roles in transcription. Here they defined the TFs as proteins containing a sequence-specific DNA-binding domain (DBD) and regulating target gene expression. Currently, the AnimalTFDB classifies all the animal TFs into 72 families according to their conserved DBDs. Gene lists of transcription factors, transcription co-factors and chromatin remodeling factors of each species are available for downloading., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: AnimalTFDB (RRID:SCR_001624) Copy   

•   Source: SciCrunch Registry

https://www.hgmd.cf.ac.uk/ac/introduction.php?lang=english

Curated database of known (published) gene lesions responsible for human inherited disease.

Proper citation: Human Gene Mutation Database (RRID:SCR_001621) Copy   

•   Source: SciCrunch Registry

http://brainwindows.wordpress.com/

Blog devoted to reporting, analyzing and interpreting the latest results in the field of brain imaging technologies, particularly at the levels of systems, circuits, single cells and below. The site content is produced by Andrew Hires.

Proper citation: Brain Windows (RRID:SCR_001226) Copy   

•   Source: SciCrunch Registry

http://www.dian-info.org/default.htm

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 23,2022. An international research partnership of leading scientists determined to understand a rare form of Alzheimers disease that is caused by a gene mutation and to establish a research database and tissue repository to support research on Alzheimers disease by other investigators around the world. One goal of DIAN is to study possible brain changes that occur before Alzheimers disease is expressed in people who carry an Alzheimers disease mutation. Other family members without a mutation will serve as a comparison group. People in families in which a mutation has been identified will be tracked in order to detect physical or mental changes that might distinguish people who inherited the mutation from those who did not. DIAN currently involves eleven outstanding research institutions in the United States, United Kingdom, and Australia. John C. Morris, M.D., Friedman Distinguished Professor of Neurology at Washington University School of Medicine in St. Louis, is the principal investigator of the project., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: DIAN - Dominantly Inherited Alzheimer Network (RRID:SCR_000812) Copy   

•   Source: SciCrunch Registry

http://spaserver.ridom.de/

Database of information of spa-typing of MRSA, or Staphylococcus aureus, that can be used to collate and harmonize data from various geographic regions.

Proper citation: Ridom SpaServer (RRID:SCR_001460) Copy   

•   Source: SciCrunch Registry

http://www.jisc.ac.uk/blog/

A blog of up-to-the-minute insights into the innovative use of technology in further and higher education.

Proper citation: JISC Blog (RRID:SCR_000928) Copy   

•   Source: SciCrunch Registry