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https://funricegenes.github.io/

Dataset of functionally characterized rice genes and members of different gene families. The dataset was created by integrating data from available databases and reviewing publications of rice functional genomic studies.

Proper citation: funRiceGenes (RRID:SCR_015778) Copy   

•   Source: SciCrunch Registry

http://apps.cytoscape.org/apps/cluepedia

Data analysis software and search tool for new markers potentially associated to pathways. CluePedia calculates linear and non-linear statistical dependencies from experimental data and investigates interrelations within each pathway to reveal associations through gene/protein/miRNA enrichments.

Proper citation: CluePedia Cytoscape plugin (RRID:SCR_015784) Copy   

•   Source: SciCrunch Registry

https://ukbec.wordpress.com

Consortium studying the regulation and alternative splicing of gene expression in multiple tissues from human brains. The UKBEC dataset comprises of brains from individuals free of neurodegenerative disorders.

Proper citation: UK Brain Expression Consortium (RRID:SCR_015889) Copy   

•   Source: SciCrunch Registry

http://www.vicbioinformatics.com/software.barrnap.shtml

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on February 28,2023. Software to predict the location of ribosomal RNA genes in genomes. It supports bacteria, archaea, mitochondria, and eukaryotes. It takes FASTA DNA sequence as input, writes GFF3 as output, and supports multithreading., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: Barrnap (RRID:SCR_015995) Copy   

•   Source: SciCrunch Registry

http://amp.pharm.mssm.edu/l1000fwd/

Web application that provides interactive visualization of drug and small-molecule induced gene expression signatures. L1000FWD enables coloring of signatures by different attributes such as cell type, time point, concentration, as well as drug attributes such as MOA and clinical phase.

Proper citation: L1000 Fireworks Display (RRID:SCR_016175) Copy   

•   Source: SciCrunch Registry

http://baderlab.org/Software/EnrichmentMap

Source code of a Cytoscape plugin for functional enrichment visualization. It organizes gene-sets, such as pathways and Gene Ontology terms, into a network to reveal which mutually overlapping gene-sets cluster together.

Proper citation: EnrichmentMap (RRID:SCR_016052) Copy   

•   Source: SciCrunch Registry

http://amp.pharm.mssm.edu/LJP/

Interactive on line tool where signatures are tagged with user selected metadata and external transcript signatures are projected onto network. Browser to visualize signatures from breast cancer cell lines treated with single molecule perturbations.

Proper citation: LINCS Joint Project - Breast Cancer Network Browser (RRID:SCR_016181) Copy   

•   Source: SciCrunch Registry

https://gotrack.msl.ubc.ca/

Open source web-based system and database that provides access to historical records and trends in the Gene Ontology (GO) and GO annotations (GOA). Used for monitoring changes in the Gene Ontology and their impact on genomic data analysis.

Proper citation: GOTrack (RRID:SCR_016399) Copy   

•   Source: SciCrunch Registry

https://github.com/Sung-Huan/ANNOgesic

Software tool for bacterial/archaeal RNA-Seq based genome annotations. Used for integrating, detecting, predicting, and grouping RNA-Seq data.

Proper citation: ANNOgesic (RRID:SCR_016326) Copy   

•   Source: SciCrunch Registry

http://homer.ucsd.edu/homer/microarray/index.html

Software tool to analyze the promoters of genes and look for motifs that are enriched in the target gene promoters relative to other promoters. Used for gene based analysis to provide a list of genes that should contain the same elements, such as genes that are co-regulated. It includes gene ontology analysis and can be used to look for RNA motifs in mRNAs.

Proper citation: findMotif.pl (RRID:SCR_016417) Copy   

•   Source: SciCrunch Registry

https://github.com/alesssia/YAMP

Software for processing and analysis of sequencing data. It has a strong focus on quality control, timely processing, functional annotation, and portability.

Proper citation: YAMP (RRID:SCR_016236) Copy   

•   Source: SciCrunch Registry

http://www.fishbrowser.org/software/LR_Gapcloser/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 18th, 2023. Software that uses long reads to close gaps in the assemblies.

Proper citation: LR Gapcloser (RRID:SCR_016194) Copy   

•   Source: SciCrunch Registry

https://github.com/sblanck/smagexp

Software toolkit for transcriptomics data meta-analysis. It integrates metaMA and metaRNAseq packages into Galaxy, carries out meta-analysis of gene expression data, handles microarray data from Gene Expression Omnibus (GEO) database, and more.

Proper citation: SMAGEXP (RRID:SCR_016360) Copy   

•   Source: SciCrunch Registry

http://amp.pharm.mssm.edu/DGB/

Web based application to assist researchers with identifying drugs and small molecules that are predicted to maximally influence expression of mammalian gene of interest. Used to identify drugs and small molecules to regulate expression of target genes for research purpose only. Application for ranking drugs to modulate specific gene based on transcriptomic signatures.

Proper citation: Drug Gene Budger (RRID:SCR_016489) Copy   

•   Source: SciCrunch Registry

https://github.com/iychoi/libra

Hadoop based tool for massive comparative metagenomics analysis. Compute the similarity between metagenomic samples.

Proper citation: Libra (RRID:SCR_016608) Copy   

•   Source: SciCrunch Registry

https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000363.v16.p10

Project to generate extensive biomarker data from Framingham Heart Study participants using immunoassays, proteomics, metabolomics/lipomics, and gene expression and microRNA profiling to advance personalized medicine through biomarker discovery and validation.

Proper citation: SABRe CVD Initiative (RRID:SCR_016572) Copy   

•   Source: SciCrunch Registry

https://github.com/WGS-TB/MentaLiST

Software for a MLST (multi-locus sequence typing) caller, based on a k-mer counting algorithm and written in the Julia language. Designed and implemented to handle large typing schemes.

Proper citation: MentaLiST (RRID:SCR_016469) Copy   

•   Source: SciCrunch Registry

http://www.roslin.ed.ac.uk/alan-archibald/porcine-genome-sequencing-project/

Map of identifyied genes controlling traits of economic and welfare significance in the pig. The project objectives were to produce a genetic map with markers spaced at approximately 20 centiMorgan intervals over at least 90% of the pig genome; to produce a physical map with at least one distal and one proximal landmark locus mapped on each porcine chromosome arm and also genetically mapped; to develop a flow karyotype for the pig based on FACS sorted chromosomes; to develop PCR based techniques to enable rapid genotyping for polymorphic markers; to evaluate synteny conservation between pigs, man, mice and cattle; to develop and evaluate the statistical techniques required to analyze data from QTL mapping experiments and to plan and initiate the mapping of QTLs in the pig; to map loci affecting traits of economic and biological significance in the pig; and to develop the molecular tools to allow the future identification and cloning of mapped loci. Animal breeders currently assume that economically important traits such as growth, carcass composition and reproductive performance are controlled by an infinite number of genes each of infinitessimal effect. Although this model is known to be unrealistic, it has successfully underpinned the genetic improvement of livestock, including pigs, over recent decades. A map of the pig genome would allow the development of more realistic models of the genetic control of economic traits and the ultimately the identification of the major trait genes. This would allow the development of more efficient marker assisted selection which may be of particular value for traits such as disease resistance and meat quality.

Proper citation: Pig Genome Mapping (RRID:SCR_012884) Copy   

•   Source: SciCrunch Registry

http://www.aniseed.cnrs.fr/

Database of ascidian embryonic development at the level of the genome (cis-regulatory sequences, gene expression, protein annotation), of the cell (morphology, fate, induction, lineage) or of the whole embryo (anatomy, morphogenesis). Currently, four organism models are described in Aniseed: Ciona intestinalis, Ciona savignyi, Halocynthia roretzi and Phallusia mammillata.
This version supports four sets of Ciona intestinalis transcript models: JGI v1.0, KyotoGrail 2005, KH and ENSEMBL, all functionally annotated, and grouped into Aniseedv3.0 gene models. Users can explore their expression profiles during normal or manipulated development, access validated cis-regulatory regions, get the molecular tools used to assay gene function, or all articles related to the function, or regulation of a given gene. Known transcriptional regulators and targets are listed for each gene, as are the gene regulatory networks acting in individual anatomical territories.
ANISEED is a community tool, and the direct involvement of external contributors is important to optimize the quality of the submitted data. Virtual embryo: The 3D Virtual embryo is available to download in the download section of the website.

Proper citation: Ascidian Network for InSitu Expression and Embryological Data (RRID:SCR_013030) Copy   

•   Source: SciCrunch Registry

http://www.clcbio.com/products/clc-genomics-workbench/

Commercially available software for visualization and analysis of next generation sequencing data. Used for viewing, exploring, and sharing of NGS analysis results. Complete toolkit for genomics, transcriptomics, epigenomics, and metagenomics in one program.

Proper citation: CLC Genomics Workbench (RRID:SCR_011853) Copy   

•   Source: SciCrunch Registry