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https://triage.niaid.nih.gov

Platform to facilitate prediction, analysis, and hypothesis generation from genome wide perturbation studies like those designed with RNAi and CRISPR technologies.

Proper citation: TRIAGE (RRID:SCR_016609) Copy   

•   Source: SciCrunch Registry

https://github.com/TGAC/KAT

Software that generates, analyses and compares k-mer spectra produced from sequence files. Used to quality control NGS datasets and genome assemblies.

Proper citation: KAT (RRID:SCR_016741) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/projects/bbmap

Software tool as a short read aligner for DNA and RNA seq data. Used for large genomes with millions of scaffolds. Can align reads from Illumina, PacBio, 454, Sanger, Ion Torrent, Nanopore. Fast and accurate, particularly with highly mutated genomes or reads with long indels, even whole gene deletions over 100kbp long. It has no upper limit to genome size or number of contigs. Written in Java, can run on any platform.

Proper citation: BBmap (RRID:SCR_016965) Copy   

•   Source: SciCrunch Registry

http://zhoulab.usc.edu/TopDom/

Software tool to identify Topological Domains, which are basic builiding blocks of genome structure. Detects topological domains in a linear time., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: TopDom (RRID:SCR_016964) Copy   

•   Source: SciCrunch Registry

https://github.com/Rinoahu/SwiftOrtho

Software tool for orthology analysis to identify orthologs, paralogs and co orthologs for genomes. Used to perform homology classification across genomes of different species in large genomic datasets.

Proper citation: SwiftOrtho (RRID:SCR_017122) Copy   

•   Source: SciCrunch Registry

https://github.com/fenderglass/Flye

Software package as de novo assembler for single molecule sequencing reads. Used for assembling long, error prone reads such as those produced by PacBio and Oxford Nanopore Technologies, for fast and accurate genome reconstructions. Available for Linux and MacOS platforms.

Proper citation: Flye (RRID:SCR_017016) Copy   

•   Source: SciCrunch Registry

https://github.com/im3sanger/dndscv

Software R package as suite of dN/dS methods to quantify selection in cancer and somatic evolution. Contains functions to quantify dN/dS ratios for missense, nonsense and essential splice mutations, at level of individual genes, groups of genes or at whole genome level. Used to detect cancer driver genes on datasets.

Proper citation: dndSCV (RRID:SCR_017093) Copy   

•   Source: SciCrunch Registry

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

Software package to predict ribosomal RNA genes in full genome sequences by utilising two levels of Hidden Markov Models. Consistent and rapid annotation of ribosomal RNA genes.

Proper citation: RNAmmer (RRID:SCR_017075) Copy   

•   Source: SciCrunch Registry

http://maizedig.maizegdb.org/

Genotype and phenotype database for maize images based on BioDIG. Supports multiple reference genomes and has been integrated with the MaizeGDB Genome Browser to make custom tracks showing mutant phenotypes within their genomic context. Allows for custom tagging of images to highlight regions related to the phenotypes. This is accomplished through an interface allowing users to create links from images to genomic coordinates and to curate and search images by gene model ID, gene symbol, and gene name.

Proper citation: Maize Database of Images and Genomes (RRID:SCR_016987) Copy   

•   Source: SciCrunch Registry

http://genomics.princeton.edu/AndolfattoLab/MSG.html

A pipeline of scripts to assign ancestry to genomic segments using next-gen sequence data. This method can identify recombination breakpoints in a large number of individuals simultaneously at a resolution sufficient for most mapping purposes, such as quantitative trait locus (QTL) mapping and mapping of induced mutations.

Proper citation: MSG (RRID:SCR_004161) Copy   

•   Source: SciCrunch Registry

http://www.biomol-informatics.com/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 12, 2021. Technology based company in Madrid that offers consulting services on Bioinformatics in areas of research, diagnostics and pharmaceutical industry.

Proper citation: Biomol-Informatics (RRID:SCR_004081) Copy   

•   Source: SciCrunch Registry

http://code.google.com/p/perm/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on February 28,2023. Software package to perform highly efficient genome scale alignments for hundreds of millions of short reads produced by the ABI SOLiD and Illumina sequencing platforms. It capable of providing full sensitivity for alignments within 4 mismatches for 50bp SOLID reads and 9 mismatches for 100bp Illumina reads.Efficient mapping of short sequencing reads with periodic full sensitive spaced seeds.

Proper citation: PerM (RRID:SCR_004223) Copy   

•   Source: SciCrunch Registry

http://nematode.lab.nig.ac.jp/

Expression pattern map of the 100Mb genome of the nematode Caenorhabditis elegans through EST analysis and systematic whole mount in situ hybridization. NEXTDB is the database to integrate all information from their expression pattern project and to make the data available to the scientific community. Information available in the current version is as follows: * Map: Visual expression of the relationships among the cosmids, predicted genes and the cDNA clones. * Image: In situ hybridization images that are arranged by their developmental stages. * Sequence: Tag sequences of the cDNA clones are available. * Homology: Results of BLASTX search are available. Users of the data presented on our web pages should not publish the information without our permission and appropriate acknowledgment. Methods are available for: * In situ hybridization on whole mount embryos of C.elegans * Protocols for large scale in situ hybridization on C.elegans larvae

Proper citation: NEXTDB (RRID:SCR_004480) Copy   

•   Source: SciCrunch Registry

http://www.sanger.ac.uk/resources/software/act/

A free tool for displaying pairwise comparisons between two or more DNA sequences. It can be used to identify and analyze regions of similarity and difference between genomes and to explore conservation of synteny, in the context of the entire sequences and their annotation. It is based on the software for Artemis, the genome viewer and annotation tool. ACT runs on UNIX, GNU/Linux, Macintosh and MS Windows systems. It can read complete EMBL and GENBANK entries or sequences in FASTA or raw format. Other sequence features can be in EMBL, GENBANK or GFF format.

Proper citation: ACT: Artemis Comparison Tool (RRID:SCR_004507) Copy   

•   Source: SciCrunch Registry

http://stemcellcommons.org/

Open source environment for sharing, processing and analyzing stem cell data bringing together stem cell data sets with tools for curation, dissemination and analysis. Standardization of the analytical approaches will enable researchers to directly compare and integrate their results with experiments and disease models in the Commons. Key features of the Stem Cell Commons * Contains stem cell related experiments * Includes microarray and Next-Generation Sequencing (NGS) data from human, mouse, rat and zebrafish * Data from multiple cell types and disease models * Carefully curated experimental metadata using controlled vocabularies * Export in the Investigation-Study-Assay tabular format (ISA-Tab) that is used by over 30 organizations worldwide * A community oriented resource with public data sets and freely available code in public code repositories such as GitHub Currently in development * Development of Refinery, a novel analysis platform that links Commons data to the Galaxy analytical engine * ChIP-seq analysis pipeline (additional pipelines in development) * Integration of experimental metadata and data files with Galaxy to guide users to choose workflows, parameters, and data sources Stem Cell Commons is based on open source software and is available for download and development.

Proper citation: Stem Cell Commons (RRID:SCR_004415) Copy   

•   Source: SciCrunch Registry

http://resexomedb.bioinf-dz.org/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on October 28,2025. An online catalog for whole-exome sequencing (WES) results including mutations and gene-disease associations identified by WES. It is browsable and searchable by mutation, gene, study or publication. In addition, it centralizes all publications, software, platforms related to exome / whole genome sequencing.

Proper citation: resExomeDB (RRID:SCR_003224) Copy   

•   Source: SciCrunch Registry

http://compbio.cs.sfu.ca/software-novelseq

Software pipeline to detect novel sequence insertions using high throughput paired-end whole genome sequencing data.

Proper citation: NovelSeq (RRID:SCR_003136) Copy   

•   Source: SciCrunch Registry

http://mrcanavar.sourceforge.net/

Copy number caller that analyzes the whole-genome next-generation sequence mapping read depth to discover large segmental duplications and deletions. It also has the capability of predicting absolute copy numbers of genomic intervals.

Proper citation: mrCaNaVaR (RRID:SCR_003135) Copy   

•   Source: SciCrunch Registry

http://www.nematodes.org/

Nematode & Neglected Genomics (at) The Blaxter Lab is a nematode related portal including databases and services. Resources include genomic and transcriptomic databases for nematodes and other metazoan phyla and freely downloadable software tools for expressed sequence tag analysis, DNA barcode analysis and phylogenomics. Major categories include: * GenePool * 959 Nematode Genomes * Teaching * Research Projects * Bioinformatics Software Tools * Lab Personnel * Lab Wiki * Genomics Databases * NEMBASE4 * Tardigrada: Hypsibius dujardini * Earthworm: Lumbricus rubellus * MolluscDB * ArthropodDB * other Neglected Genomes

Proper citation: nematodes.org (RRID:SCR_003267) Copy   

•   Source: SciCrunch Registry

http://www.decode.com/

A biopharmaceutical company applying its discoveries in human genetics to develop drugs and diagnostics for common diseases. They specialize in gene discovery - their population approach and resources have enabled them to isolate key genes contributing to major public health challenges from cardiovascular disease to cancer. The company's genotyping capacity is now one of the highest in the world. They have a large population-based biobank containing whole blood and DNA samples with extensive relevant phenotypic information from around 120.000 Icelanders. In the company's work in more than 50 disease projects, their statistical and informatics departments have established themselves in data processing and analysis. deCODE genetics is widely recognized as a center of excellence in genetic research.

Proper citation: deCODE genetics (RRID:SCR_003334) Copy   

•   Source: SciCrunch Registry