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on page 1 showing 20 out of 92 results from 1 sources

    AceView

Cite this (AceView, RRID:SCR_002277)

URL: http://www.ncbi.nlm.nih.gov/ieb/research/acembly/

Resource Type: Resource, data or information resource, database

THIS RESOURCE IS NO LONGER SUPPORTED, documented August 29, 2016. AceView offers an integrated view of the human, nematode and Arabidopsis genes reconstructed by co-alignment of all publicly available mRNAs and ESTs on the genome sequence. Our goals are to offer a reliable up-to-date resource on the genes and their functions and to stimulate further validating experiments at the bench. AceView provides a curated, comprehensive and non-redundant sequence representation of all public mRNA sequences (mRNAs from GenBank or RefSeq, and single pass cDNA sequences from dbEST and Trace). These experimental cDNA sequences are first co-aligned on the genome then clustered into a minimal number of alternative transcript variants and grouped into genes. Using exhaustively and with high quality standards the available cDNA sequences evidences the beauty and complexity of mammals' transcriptome, and the relative simplicity of the nematode and plant transcriptomes. Genes are classified according to their inferred coding potential; many presumably non-coding genes are discovered. Genes are named by Entrez Gene names when available, else by AceView gene names, stable from release to release. Alternative features (promoters, introns and exons, polyadenylation signals) and coding potential, including motifs, domains, and homologies are annotated in depth; tissues where expression has been observed are listed in order of representation; diseases, phenotypes, pathways, functions, localization or interactions are annotated by mining selected sources, in particular PubMed, GAD and Entrez Gene, and also by performing manual annotation, especially in the worm. In this way, both the anatomy and physiology of the experimentally cDNA supported human, mouse and nematode genes are thoroughly annotated. Our goals are to offer an up-to-date resource on the genes, in the hope to stimulate further experiments at the bench, or to help medical research. AceView can be queried by meaningful words or groups of words as well as by most standard identifiers, such as gene names, Entrez Gene ID, UniGene ID, GenBank accessions.

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    ADGO

Cite this (ADGO, RRID:SCR_006343)

URL: http://www.btool.org/ADGO2

Resource Type: Resource, analysis service resource, data analysis service, service resource, production service resource

A web-based tool that provides composite interpretations for microarray data comparing two sample groups as well as lists of genes from diverse sources of biological information. It provides multiple gene set analysis methods for microarray inputs as well as enrichment analyses for lists of genes. It screens redundant composite annotations when generating and prioritizing them. It also incorporates union and subtracted sets as well as intersection sets. Users can upload their gene sets (e.g. predicted miRNA targets) to generate and analyze new composite sets.

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Cite this (Aging Genes and Interventions Database, RRID:SCR_002701)

URL: http://uwaging.org/genesdb/

Resource Type: Resource, service resource, data or information resource, data repository, storage service resource, database

A database of genes and interventions connected with aging phenotypes including those with respect to their effects on life-span or age-related neurological diseases. Information includes: organism, aging phenotype, allele type, strain, gene function, phenotypes, mutant, and homologs. If you know of published data (or your own unpublished data that you'd like to share) not currently in the database, please use the Submit a Gene/Intervention link.

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    Ancora

Cite this (Ancora, RRID:SCR_001623)

URL: http://ancora.genereg.net/

Resource Type: Resource, data analysis service, production service resource, analysis service resource, database, service resource, data or information resource

Web resource that provides data and tools for exploring genomic organization of highly conserved noncoding elements (HCNEs) for multiple genomes. It includes a genome browser that shows HCNE locations and features novel HCNE density plots as a powerful tool to discover developmental regulatory genes and distinguish their regulatory elements and domains. They identify HCNEs as non-exonic regions of high similarity between genome sequences from distantly related organisms, such as human and fish, and provide tools for studying the distribution of HCNEs along chromosomes. Major peaks of HCNE density along chromosomes most often coincide with developmental regulatory genes. Their aim with this site is to aid discovery of developmental regulatory genes, their regulatory domains and their fundamental regulatory elements.

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Cite this (AnimalTFDB, RRID:SCR_001624)

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

Resource Type: Resource, data or information resource, database

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.

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    BaCelLo

Cite this (BaCelLo, RRID:SCR_011965)

URL: http://gpcr.biocomp.unibo.it/bacello/

Resource Type: Resource, analysis service resource, data analysis service, service resource, production service resource

A predictor for the subcellular localization of proteins in eukaryotes that is based on a decision tree of several support vector machines (SVMs). It classifies up to four localizations for Fungi and Metazoan proteins and five localizations for Plant ones. BaCelLo's predictions are balanced among different classes and all the localizations are considered as equiprobable.

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Cite this (BiblioSpec, RRID:SCR_004349)

URL: http://proteome.gs.washington.edu/software/bibliospec/documentation/index.html

Resource Type: Resource, software resource, data or information resource, database

BiblioSpec enables the identification of peptides from tandem mass spectra by searching against a database of previously identified spectra. This suite of software tools is for creating and searching MS/MS peptide spectrum libraries. BiblioSpec is available free of charge for noncommercial use through an interactive web-site at http://depts.washington.edu/ventures/UW_Technology/Express_Licenses/bibliospec.php The BiblioSpec package contains the following programs: * BlibBuild creates a library of peptide MS/MS spectra from MS2 files. * BlibFilter removes redundant spectra from a library. * BlibSearch searches a spectrum library for matches to query spectra, reporting the results in an SQT file. In addition to the primary programs, the following auxiliary programs are available: * BlibStats writes summary statistics describing a library. * BlibToMS2 writes a library in MS2 file format. * BlibUpdate adds, deletes, or annotates spectra. * BlibPpMS2 processes spectra (bins peaks, removes noise, normalizes intensity) as done in BlibSearch and prints the resulting spectra to a text file. Several reference libraries are available for download. These libraries are updated regularly and are for use under the Linux operating system. You will find libraries for * Escherichia coli * Saccharomyces cerevisiae * Caenorhabditis elegans

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    BioGRID

Cite this (BioGRID, RRID:SCR_007393)

URL: http://www.thebiogrid.org/

Resource Type: Resource, database, service resource, storage service resource, software resource, data repository, data or information resource

A curated protein-protein and genetic interaction repository of raw protein and genetic interactions from major model organism species, with data compiled through comprehensive curation efforts. The current version searches over 41,000 publications containing over 720,000 interactions (June 2014) and contributions are welcome. Complete coverage of the entire literature is maintained for budding yeast (S. cerevisiae), fission yeast (S. pombe) and thale cress (A. thaliana), and efforts to expand curation across multiple metazoan species are underway. Current curation drives are focused on particular areas of biology to enable insights into conserved networks and pathways that are relevant to human health. It provides interaction data to several model organism databases, resources such as Entrez-Gene, SGD, TAIR, FlyBase and other interaction meta-databases. The entire BioGRID 3.0 data collection may be downloaded in multiple file formats, including IMEx compatible PSI MI XML. For developers, BioGRID interactions are also available via a REST based Web Service and Cytoscape plugin.

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Cite this (BodyMap-Xs, RRID:SCR_001147)

URL: http://bodymap.genes.nig.ac.jp/

Resource Type: Resource, data or information resource, database

THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 17, 2013. A taxonomical and anatomical database of latest cross species animal EST data, clustered by UniGene and inter connected by Inparanoid. Users can search by Unigene, RefSeq, or Entrez Gene ID, or search for Gene Name or Tissue type. Data is also sortable and viewable based on qualities of normal, Neoplastic, or other. The last data import appears to be from 2008

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Cite this (Caenorhabditis elegans Natural Diversity Resource (CeNDR), RRID:SCR_014958)

URL: https://elegansvariation.org/

Resource Type: Resource, biomaterial supply resource, material resource, organism supplier, portal, data or information resource

Supplier and researcher of wild C. elegans strains. CeNDR supplies organisms, analyzes whole-genome sequences, and facilitates genetic mappings to aid researchers in gene discovery.

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Cite this (Caenorhabditis Genetics Center, RRID:SCR_007341)

URL: http://www.cgc.cbs.umn.edu

Resource Type: Resource, organism supplier, biomaterial supply resource, biospecimen repository, standard specification, narrative resource, service resource, storage service resource, cell repository, data or information resource, material resource, material storage repository

Acquires, maintains, and distributes genetic stocks and information about stocks of the small free-living nematode Caenorhabditis elegans for use by investigators initiating or continuing research on this genetic model organism. A searchable strain database, general information about C. elegans, and links to key Web sites of use to scientists, including WormBase, WormAtlas, and WormBook are available. Services Provided: * Animals: the CGC's collection of more than 11,273 strains includes one allele of each mapped gene, all available chromosome rearrangements, and selected multiple-mutant stocks for genetic mapping. Certain transgenic strains also are available, including strains that express various green fluorescent protein (GFP) reporter fusions. The CGC also has stocks of nematode species closely related to C. elegans and bacterial strains necessary for nematode growth and for performing RNA interference experiments. * Nomenclature Information: recommended guidelines and persons to contact for specific questions about C. elegans genetic nomenclature can be found at the website. Databases of gene names and laboratory strain designations with allele codes are also available at this site.

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Cite this (C. elegans Development Vocabulary, RRID:SCR_006811)

URL: http://purl.bioontology.org/ontology/WB-LS

Resource Type: Resource, ontology, data or information resource, controlled vocabulary

A structured controlled vocabulary of the development of Caenorhabditis elegans.

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Cite this (C. elegans Gross Anatomy Vocabulary, RRID:SCR_006835)

URL: http://purl.bioontology.org/ontology/WB-BT

Resource Type: Resource, ontology, data or information resource, controlled vocabulary

A structured controlled vocabulary of the anatomy of Caenorhabditis elegans.

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Cite this (C. elegans Phenotype Vocabulary, RRID:SCR_006924)

URL: http://purl.bioontology.org/ontology/WB-PHENOTYPE

Resource Type: Resource, ontology, data or information resource, controlled vocabulary

A structured controlled vocabulary of Caenorhabditis elegans phenotypes.

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Cite this (Chemical Effects in Biological Systems, RRID:SCR_006778)

URL: http://cebs.niehs.nih.gov

Resource Type: Resource, service resource, data or information resource, data repository, storage service resource, database

Integrated public repository for toxicogenomics data, including the study design and timeline, clinical chemistry and histopathology findings and microarray and proteomics data. CEBS contains data derived from studies of chemicals and of genetic alterations, and is compatible with clinical and environmental studies. CEBS welcomes good-quality data relating to environmental health, pharmacology, and toxicology. It is not necessary to have microarray data, but a study design and phenotypic anchoring data are required. CEBS is designed to permit the user to query the data using the study conditions, the subject responses and then, having identified an appropriate set of subjects, to move to the microarray module of CEBS to carry out gene signature and pathway analysis. CEBS currently holds 22 studies of rats, four studies of mice and one study of Caenorhabditis elegans. CEBS can also accommodate data from studies of human subjects. Toxicogenomics studies currently in CEBS comprise over 4000 microarray hybridizations, and 75 2D gel images annotated with protein identification performed by MALDI and MS/MS. CEBS contains raw microarray data collected in accordance with MIAME guidelines and provides tools for data selection, pre-processing and analysis resulting in annotated lists of genes of interest. Additionally, clinical chemistry and histopathology findings from over 1500 animals are included in CEBS. The BID (Biomedical Investigation Database) is another component of the CEBS system. BID is a relational database used to load and curate study data prior to export to CEBS, in addition to capturing and displaying novel data types such as PCR data, or additional fields of interest, including those defined by the HESI Toxicogenomics Committee (in preparation). BID has been shared with Health Canada and the US Environmental Protection Agency.

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Cite this (cisRED: cis-regulatory element, RRID:SCR_002098)

URL: http://www.cisred.org/

Resource Type: Resource, data or information resource, database

Database for conserved sequence motifs identified by genome scale motif discovery, similarity, clustering, co-occurrence and coexpression calculations. Sequence inputs include low-coverage genome sequence data and ENCODE data. The database offers information on atomic motifs, motif groups and patterns. In promoter-based cisRED databases, sequence search regions for motif discovery extend from 1.5 Kb upstream to 200b downstream of a transcription start site, net of most types of repeats and of coding exons. Many transcription factor binding sites are located in such regions. For each target gene's search region, a base set of probabilistic ab initio discovery tools is used, in parallel, to find over-represented atomic motifs. Discovery methods use comparative genomics with over 40 vertebrate input genomes. In ChIP-seq-based cisRED databases, sequence search regions for motif discovery correspond to significant peaks that represent genome-wide sites of protein-DNA binding. Because such peaks occur in a wide range of genic and intergenic locations, ChIP-seq and promoter-based databases are complementary. Currently, motif discovery for ChIP-seq data uses scan-based approaches that make more explicit use of sets of sequences known to be functional transcription factor binding sites, and that consider a wide range of levels of conservation. For the human STAT1 ChIP-seq database search regions in the target species (human) was selected +/- 300 bp around the ChIP-seq peak maximum. Repeats and coding regions were masked. Multiple sequence alignment were used to assemble orthologous input sequences from other species.

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    ComiR

Cite this (ComiR, RRID:SCR_013023)

URL: http://www.benoslab.pitt.edu/comir/

Resource Type: Resource, analysis service resource, data analysis service, service resource, production service resource

Data analysis service that predicts whether a given mRNA is targeted by a set of miRNAs. ComiR uses miRNA expression to improve and combine multiple miRNA targets for each of the four prediction algorithms: miRanda, PITA, TargetScan and mirSVR. The composite scores of the four algorithms are then combined using a support vector machine trained on Drosophila Ago1 IP data.

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Cite this (Connectome Mapping Toolkit, RRID:SCR_001644)

URL: http://connectome.ch/

Resource Type: Resource, image analysis software, data processing software, software application, data management software, data set, software resource, software toolkit, image processing software, data or information resource

A Python-based open source toolkit for magnetic resonance connectome mapping, data management, sharing, visualization and analysis. The toolkit includes the connectome mapper (a full DMRI processing pipeline), a new file format for multi modal data and metadata, and a visualization application.

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    CRCView

Cite this (CRCView, RRID:SCR_007092)

URL: http://crcview.hegroup.org/

Resource Type: Resource, analysis service resource, data analysis service, service resource, production service resource

Web-based microarray data analysis and visualization system powered by CRC, or Chinese Restaurant cluster, a Dirichlet process model-based clustering algorithm recently developed by Dr. Steve Qin. It also incorporates several gene expression analysis programs from Bioconductor, including GOStats, genefilter, and Heatplus. CRCView also installs from the Bioconductor system 78 annotation libraries of microarray chips for human (31), mouse (24), rat (14), zebrafish (1), chicken (1), Drosophila (3), Arabidopsis (2), Caenorhabditis elegans (1), and Xenopus Laevis (1). CRCView allows flexible input data format, automated model-based CRC clustering analysis, rich graphical illustration, and integrated Gene Ontology (GO)-based gene enrichment for efficient annotation and interpretation of clustering results. CRC has the following features comparing to other clustering tools: 1) able to infer number of clusters, 2) able to cluster genes displaying time-shifted and/or inverted correlations, 3) able to tolerate missing genotype data and 4) provide confidence measure for clusters generated. You need to register for an account in the system to store your data and analyses. The data and results can be visited again anytime you log in.

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    Cscan

Cite this (Cscan, RRID:SCR_006756)

URL: http://159.149.160.51/cscan/

Resource Type: Resource, data analysis service, database, analysis service resource, production service resource, service resource, data or information resource

Data resource that includes a large collection of genome-wide ChIP-Seq experiments performed on transcription factors (TFs), histone modifications, RNA polymerases and others. Enriched peak regions from the ChIP-Seq experiments are crossed with the genomic coordinates of a set of input genes, to identify which of the experiments present a statistically significant number of peaks within the input genes' loci. The input can be a cluster of co-expressed genes, or any other set of genes sharing a common regulatory profile. Users can thus single out which TFs are likely to be common regulators of the genes, and their respective correlations. Also, by examining results on promoter activation, transcription, histone modifications, polymerase binding and so on, users can investigate the effect of the TFs (activation or repression of transcription) as well as of the cell or tissue specificity of the genes' regulation and expression.

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