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SciCrunch Registry is a curated repository of scientific resources, with a focus on biomedical resources, including tools, databases, and core facilities - visit SciCrunch to register your resource.
http://www-genome.stanford.edu/
This resource hyperlinks to systematic analysis projects, resources, laboratories, and departments at Stanford University.
Proper citation: Stanford Genomic Resourses (RRID:SCR_001874) Copy
Portal for researchers to locate information relevant to interpretation and follow-up of human genetic epidemiological discoveries, including: a range of population and case and family genetic epidemiological studies, relevant gene and sequence databases, genetic variation databases, trait measurement, resource labs, journals, software, general information, disease genes and genetic diversity.
Proper citation: Online Encyclopedia for Genetic Epidemiology studies (RRID:SCR_001825) Copy
Suite of motif-based sequence analysis tools to discover motifs using MEME, DREME (DNA only) or GLAM2 on groups of related DNA or protein sequences; search sequence databases with motifs using MAST, FIMO, MCAST or GLAM2SCAN; compare a motif to all motifs in a database of motifs; associate motifs with Gene Ontology terms via their putative target genes, and analyze motif enrichment using SpaMo or CentriMo. Source code, binaries and a web server are freely available for noncommercial use.
Proper citation: MEME Suite - Motif-based sequence analysis tools (RRID:SCR_001783) Copy
Data analysis tool that utilizes the Comparative CT (ddCT) method to rapidly and accurately quantitate relative gene expression across a large number of genes and samples. Raw input from plates or arrays can be analyzed according to user-determined settings.
Proper citation: DataAssist (RRID:SCR_014969) Copy
https://github.com/WangHYLab/fcirc
Software Python pipeline for linear and circular RNAs of known fusions exploration. Pipeline for exploring linear transcripts and circRNAs of known fusions based on RNA-Seq data. Known fusion genes are from multiple databases like COSMIC, ChimerDB, TicDB, FARE-CAFE and FusionCancer or user-added gene-pairs.
Proper citation: Fcirc (RRID:SCR_018090) Copy
https://health.uconn.edu/worm-lab/track-a-worm/
Open source system for quantitative assessment of C. Elegans locomotory and bending behavior. Used for quantitative behavioral analyses to understand circuit and gene bases of behavior. Constantly records and analyzes position and body shape of freely moving worm at high magnification.
Proper citation: Track-A-Worm (RRID:SCR_018299) Copy
Database of Immune Cell Expression, Expression quantitative trait loci (eQTLs) and Epigenomics. Collection of identified cis-eQTLs for 12,254 unique genes, which represent 61% of all protein-coding genes expressed in human cell types. Datasets to help reveal effects of disease risk associated genetic polymorphisms on specific immune cell types, providing mechanistic insights into how they might influence pathogenesis.
Proper citation: Database of Immune Cell Epigenomes (RRID:SCR_018259) Copy
https://metacpan.org/pod/Bio::CUA
Software tool as flexible and comprehensive codon usage analyzer. Used to analyze codon usage bias (CUB) and relevant problems.
Proper citation: Codon Usage Analyzer (RRID:SCR_018500) Copy
https://bioconductor.org/packages/minet/
Open source software R package for inferring large transcriptional networks using mutual information. Implements algorithms for inferring networks such as gene networks from microarray data.
Proper citation: minet (RRID:SCR_018661) Copy
Web service for querying or retrieving gene annotation data.
Proper citation: MyGene.info (RRID:SCR_018660) Copy
Web service that conducts comprehensive literature mining to identify roles of genes in addiction. Searches PubMed to find abstracts containing genes of interest and list of curated addiction related keywords.
Proper citation: RatsPub (RRID:SCR_018905) Copy
http://tools.dice-database.org/GOnet/)
Web tool for interactive Gene Ontology analysis of any biological data sources resulting in gene or protein lists.
Proper citation: GOnet (RRID:SCR_018977) Copy
http://bioconductor.org/packages/edgeR/
Bioconductor software package for Empirical analysis of Digital Gene Expression data in R. Used for differential expression analysis of RNA-seq and digital gene expression data with biological replication.
Proper citation: edgeR (RRID:SCR_012802) Copy
Integrated database resource consisting of 16 main databases, broadly categorized into systems information, genomic information, and chemical information. In particular, gene catalogs in completely sequenced genomes are linked to higher-level systemic functions of cell, organism, and ecosystem. Analysis tools are also available. KEGG may be used as reference knowledge base for biological interpretation of large-scale datasets generated by sequencing and other high-throughput experimental technologies.
Proper citation: KEGG (RRID:SCR_012773) Copy
http://gmod.org/wiki/Flash_GViewer
Flash GViewer is a customizable Flash movie that can be easily inserted into a web page to display each chromosome in a genome along with the locations of individual features on the chromosomes. It is intended to provide an overview of the genomic locations of a specific set of features - eg. genes and QTLs associated with a specific phenotype, etc. rather than as a way to view all features on the genome. The features can hyperlink out to a detail page to enable to GViewer to be used as a navigation tool. In addition the bands on the chromosomes can link to defineable URL and new region selection sliders can be used to select a specific chromosome region and then link out to a genome browser for higher resolution information. Genome maps for Rat, Mouse, Human and C. elegans are provided but other genome maps can be easily created. Annotation data can be provided as static text files or produced as XML via server scripts. This tool is not GO-specific, but was built for the purpose of viewing GO annotation data. Platform: Online tool
Proper citation: Flash Gviewer (RRID:SCR_012870) Copy
http://www.zebrafinchatlas.org
Expression atlas of in situ hybridization images from large collection of genes expressed in brain of adult male zebra finches. Goal of ZEBrA project is to develop publicly available on-line digital atlas that documents expression of large collection of genes within brain of adult male zebra finches.
Proper citation: Zebra Finch Expression Brain Atlas (RRID:SCR_012988) Copy
http://www.viprbrc.org/brc/home.do?decorator=vipr
Provides searchable public repository of genomic, proteomic and other research data for different strains of pathogenic viruses along with suite of tools for analyzing data. Data can be shared, aggregated, analyzed using ViPR tools, and downloaded for local analysis. ViPR is an NIAID-funded resource that support the research of viral pathogens in the NIAID Category A-C Priority Pathogen lists and those causing (re)emerging infectious diseases. It provides a dedicated gateway to SARS-CoV-2 data that integrates data from external sources (GenBank, UniProt, Immune Epitope Database, Protein Data Bank), direct submissions, analysis pipelines and expert curation, and provides a suite of bioinformatics analysis and visualization tools for virology research.
Proper citation: Virus Pathogen Resource (ViPR) (RRID:SCR_012983) Copy
Database of traceable, standardized, annotated gene signatures which have been manually curated from publications that are indexed in PubMed. The Advanced Gene Search will perform a One-tailed Fisher Exact Test (which is equivalent to Hypergeometric Distribution) to test if your gene list is over-represented in any gene signature in GeneSigDB. Gene expression studies typically result in a list of genes (gene signature) which reflect the many biological pathways that are concurrently active. We have created a Gene Signature Data Base (GeneSigDB) of published gene expression signatures or gene sets which we have manually extracted from published literature. GeneSigDB was creating following a thorough search of PubMed using defined set of cancer gene signature search terms. We would be delighted to accept or update your gene signature. Please fill out the form as best you can. We will contact you when we get it and will be happy to work with you to ensure we accurately report your signature. GeneSigDB is capable of providing its functionality through a Java RESTful web service.
Proper citation: GeneSigDB (RRID:SCR_013275) Copy
http://www.dkfz.de/en/epidemiologie-krebserkrankungen/software/software.html
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on May 24,2023. Software program that performs estimation of power and sample sizes required to detect genetic and environmental main, as well as gene-environment interaction (GxE) effects in indirect matched case-control studies (1:1 matching). When the hypothesis of GxE is tested, power/sample size will be estimated for the detection of GxE, as well as for the detection of genetic and environmental marginal effects. Furthermore, power estimation is implemented for the joint test of genetic marginal and GxE effects (Kraft P et al., 2007). Power and sample size estimations are based on Gauderman''s (2002) asymptotic approach for power and sample size estimations in direct studies of GxE. Hardy-Weinberg equilibrium and independence of genotypes and environmental exposures in the population are assumed. The estimates are based on genotypic codes (G=1 (G=0) for individuals who carry a (non-) risk genotype), which depend on the mode of inheritance (dominant, recessive, or multiplicative). A conditional logistic regression approach is used, which employs a likelihood-ratio test with respect to a biallelic candidate SNP, a binary environmental factor (E=1 (E=0) in (un)exposed individuals), and the interaction between these components. (entry from Genetic Analysis Software)
Proper citation: PIAGE (RRID:SCR_013124) Copy
http://bioinformatics.ust.hk/BOOST.html
Software application (entry from Genetic Analysis Software) for a method for detecting gene-gene interactions. It allows examining all pairwise interactions in genome-wide case-control studies.
Proper citation: BOOST (RRID:SCR_013133) Copy
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