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http://pons.incf.org/

Program consisting of three Task Forces and one Working Group to promote data exchange and integration in the neurosciences by developing terminology standards and formal ontologies for neural structures. Closely linked to the Program on Digital Brain Atlasing, the Program aims to establish a structured lexicon for the translation and definition of terms describing neural structures at multiple levels of granularity. The three Task Forces and one Working Group involved in the PONS effort: * Structural lexicon * Neuron registry * Representation and deployment * KnowledgeSpace Working Group Structural lexicon, Neuron registry, Representation and deployment, and KnowledgeSpace Working Group.

Proper citation: Program on Ontologies of Neural Structures (RRID:SCR_003549) Copy   

•   Source: SciCrunch Registry

http://targetscan.org/

Web tool to predict biological targets of miRNAs by searching for presence of conserved 8mer, 7mer and 6mer sites that match seed region of each miRNA. Nonconserved sites are also predicted and sites with mismatches in seed region that are compensated by conserved 3' pairing. Used to search for predicted microRNA targets in mammals.

Proper citation: TargetScan (RRID:SCR_010845) Copy   

•   Source: SciCrunch Registry

http://mampol.uab.es

Database providing a collection of all the existing polymorphic sequences in the Mammalia group. It allows the search for any polymorphic set according to different parameter values of nucleotide diversity. For data collection, diversity measures and updating they use PDA, a pipeline made of a set of Perl modules that automates the process of sequence retrieving, grouping, aligning and estimating diversity parameters from GenBank sequences. Diversity measures, including polymorphism estimates in synonymous and non-synonymous sites, linkage disequilibrium and codon bias, are calculated for each polymorphic set in different functional regions. The database also includes the primary information retrieved from different external sources: the mammalian publicly available nucleotide sequences (excluding ESTs, STSs, GSSs, working draft and patents) with their annotations and references from GenBank, and the cross-references to the PopSet database. The database content is daily updated, and records are assigned unique and permanent MamPol identification numbers to facilitate cross-database referencing.

Proper citation: MamPolMammalia Polymorphism Database (RRID:SCR_007769) Copy   

•   Source: SciCrunch Registry

http://pcidb.russelllab.org/

The database of protein-chemical structural interactions includes all existing 3D structures of complexes of proteins with low molecular weight ligands. When one considers the proteins and chemical vertices of a graph, all these interactions form a network. Biological networks are powerful tools for predicting undocumented relationships between molecules. The underlying principle is that existing interactions between molecules can be used to predict new interactions. For pairs of proteins sharing a common ligand, we use protein and chemical superimpositions combined with fast structural compatibility screens to predict whether additional compounds bound by one protein would bind the other. The current version includes data from the Protein Data Bank as of August 2011. The database is updated monthly.

Proper citation: ProtChemSI (RRID:SCR_006115) Copy   

•   Source: SciCrunch Registry

http://www.broadinstitute.org/mammals/haploreg/haploreg.php

HaploReg is a tool for exploring annotations of the noncoding genome at variants on haplotype blocks, such as candidate regulatory SNPs at disease-associated loci. Using linkage disequilibrium (LD) information from the 1000 Genomes Project, linked SNPs and small indels can be visualized along with their predicted chromatin state in nine cell types, conservation across mammals, and their effect on regulatory motifs. HaploReg is designed for researchers developing mechanistic hypotheses of the impact of non-coding variants on clinical phenotypes and normal variation.

Proper citation: HaploReg (RRID:SCR_006796) Copy   

•   Source: SciCrunch Registry

http://matrixdb.univ-lyon1.fr/

Freely available database focused on interactions established by extracellular proteins and polysaccharides, taking into account the multimeric nature of the extracellular proteins (e.g. collagens, laminins and thrombospondins are multimers). MatrixDB is an active member of the International Molecular Exchange (IMEx) consortium and has adopted the PSI-MI standards for annotating and exchanging interaction data. It includes interaction data extracted from the literature by manual curation, and offers access to relevant data involving extracellular proteins provided by the IMEx partner databases through the PSICQUIC webservice, as well as data from the Human Protein Reference Database. The database reports mammalian protein-protein and protein-carbohydrate interactions involving extracellular molecules. Interactions with lipids and cations are also reported. MatrixDB is focused on mammalian interactions, but aims to integrate interaction datasets of model organisms when available. MatrixDB provides direct links to databases recapitulating mutations in genes encoding extracellular proteins, to UniGene and to the Human Protein Atlas that shows expression and localization of proteins in a large variety of normal human tissues and cells. MatrixDB allows researchers to perform customized queries and to build tissue- and disease-specific interaction networks that can be visualized and analyzed with Cytoscape or Medusa. Statistics (2013): 2283 extracellular matrix interactions including 2095 protein-protein and 169 protein-glycosaminoglycan interactions.

Proper citation: MatrixDB (RRID:SCR_001727) Copy   

•   Source: SciCrunch Registry

http://mousecyc.jax.org/

A manually curated database of both known and predicted metabolic pathways for the laboratory mouse. It has been integrated with genetic and genomic data for the laboratory mouse available from the Mouse Genome Informatics database and with pathway data from other organisms, including human. The database records for 1,060 genes in Mouse Genome Informatics (MGI) are linked directly to 294 pathways with 1,790 compounds and 1,122 enzymatic reactions in MouseCyc. (Aug. 2013) BLAST and other tools are available. The initial focus for the development of MouseCyc is on metabolism and includes such cell level processes as biosynthesis, degradation, energy production, and detoxification. MouseCyc differs from existing pathway databases and software tools because of the extent to which the pathway information in MouseCyc is integrated with the wealth of biological knowledge for the laboratory mouse that is available from the Mouse Genome Informatics (MGI) database.

Proper citation: MouseCyc (RRID:SCR_001791) Copy   

•   Source: SciCrunch Registry

https://obofoundry.org/ontology/cl.html

Ontology designed as a structured controlled vocabulary for cell types. It was constructed for use by the model organism and other bioinformatics databases. It includes cell types from prokaryotes, mammals, and fungi. The ontology is available in the formats adopted by the Open Biological Ontologies umbrella and is designed to be used in the context of model organism genome and other biological databases.

Proper citation: Cell Type Ontology (RRID:SCR_004251) Copy   

•   Source: SciCrunch Registry

http://wiki.c2b2.columbia.edu/califanolab/index.php/Software/ARACNE

An algorithm, using microarray expression profiles, to scale up to the complexity of regulatory networks in mammalian cells, yet general enough to address a wider range of network deconvolution problems. This method uses an information theoretic approach to eliminate the vast majority of indirect interactions typically inferred by pairwise analysis.

Proper citation: ARACNE (RRID:SCR_002180) Copy   

•   Source: SciCrunch Registry

http://www.chickest.udel.edu/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on October 28,2025. A chicken EST Web site has been created to provide access to the data, and a set of unique sequences has been deposited with GenBank. This site contains over 40,000 EST sequences from the chicken cDNA libraries in the University of Delaware collection. Users can perform keyword searches, BLAST nucleotide sequences against our database, view clusters of similar or overlapping clones, and order clones. The cDNA and gene sequences of many mammalian cytokines and their receptors are known. However, corresponding information on avian cytokines is limited due to the lack of cross-species activity at the functional level or strong homology at the molecular level. To improve the efficiency of identifying cytokines and novel chicken genes, a directionally cloned cDNA library from T-cell-enriched activated chicken splenocytes was constructed, and the partial sequence of 5251 clones was obtained. Sequence clustering indicates that 2357 (42%) of the clones are present as a single copy, and 2961 are distinct clones, demonstrating the high level of complexity of this library. Comparisons of the sequence data with known DNA sequences in GenBank indicate that approximately 25% of the clones match known chicken genes, 39% have similarity to known genes in other species, and 11% had no match to any sequence in the database. Several previously uncharacterized chicken cytokines and their receptors were present in our library. This collection provides a useful database for cataloging genes expressed in T cells and a valuable resource for future investigations of gene expression in avian immunology. Therefore, the Chick EST database was created.

Proper citation: UD Chick EST Project (RRID:SCR_002236) Copy   

•   Source: SciCrunch Registry

http://www.biorep.it/en

Offer biorepository services to public and private research institutes, to the highest standards of quality and safety with the aim of contributing to the advancement of medical research and scientific discovery. The BioRep Cell Repository establishes, maintains and distributes cell line cultures as well as DNA derived from these cultures. The scientific and business affiliation between BioRep and Coriell allows access to more than a million types of cell vials, stored in liquid nitrogen. Cells that have been stored for nearly 50 years, are still viable and available for research purposes today. Thanks to an exclusive agreement with the Coriell Institute for Medical Research, the oldest and largest biorepository of the world, BioRep is specialized in cell lines preparation, in nucleic acid extraction and long term storage in liquid nitrose (-196 degrees C) and in refrigerators (-80 degrees C) of any kind of biosamples, using procedures and standards developed by the Coriell in over 50 years of activity. BioRep and Coriell together constitute one of the few Global Biorepository able to serve the pharmaceutical industries for world wide clinical trials. BioRep facility is specifically designed to give the utmost efficiency and security by implementing Coriell procedures and standards. The BioRep Tissue Repository provides safe and secure storage of tissue specimens as required for medical research and scientific investigation. All tissues are preserved with the most current preservation techniques and processes. In addition to the storage service, BioRep provides Cell Biology, Molecular Biology, Microbiology services developed in ISO 9001:2008 certified laboratories.

Proper citation: BioRep (RRID:SCR_004907) Copy   

•   Source: SciCrunch Registry

http://www.scienceexchange.com/facilities/division-of-comparative-pathology-miami

The Division of Comparative Pathology is a full service veterinary pathology laboratory with both clinical pathology and histology services. Routine hematology and serum biochemistry testing is available for multiple species; we work well with low volume samples. Specialized testing is available or can be implemented as needed. Routine histology services including processing, embedding, and sectioning are available with many routine and special staining options.

Proper citation: UM Miller School of Medicine Division of Comparative Pathology (RRID:SCR_012492) Copy   

•   Source: SciCrunch Registry