Searching the RRID Resource Information Network
Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.
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.
| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
XPN Resource Report Resource Website 1+ mentions |
XPN (RRID:SCR_008845) | XPN | software resource | Merging Two Gene Expression Studies via Cross Platform Normalization. | bio.tools |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian has parent organization: University of North Carolina at Chapel Hill; North Carolina; USA |
OMICS_00863, biotools:xpn | https://bio.tools/xpn | SCR_008845 | 2026-09-19 12:51:46 | 2 | ||||||||
|
MuSiC Resource Report Resource Website 100+ mentions |
MuSiC (RRID:SCR_008792) | MuSiC | software resource | A set of tools aimed at determining the significance of somatic mutations discovered within a given cohort of cancer samples, incorporating the cohort''s alignment data, variant lists and any relevant clinical data., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools has parent organization: Washington University in St. Louis; Missouri; USA |
PMID:22759861 | THIS RESOURCE IS NO LONGER IN SERVICE | biotools:MuSiC2, OMICS_00152 | https://bio.tools/MuSiC2, https://github.com/ding-lab/MuSiC2/blob/master/README.md | SCR_008792 | Mutational Significance In Cancer | 2026-09-19 12:51:45 | 485 | |||||
|
GMAP Resource Report Resource Website 500+ mentions |
GMAP (RRID:SCR_008992) | GMAP | alignment software, data processing software, image analysis software, software application, software resource, source code | THIS RESOURCE IS NO LONGER IN SERVICE, documented August 29, 2016. A software program for mapping and aligning cDNA sequences to a genome. The program maps and aligns a single sequence with minimal startup time and memory requirements, and provides fast batch processing of large sequence sets. The program generates accurate gene structures, even in the presence of substantial polymorphisms and sequence errors, without using probabilistic splice site models. Methodology underlying the program includes a minimal sampling strategy for genomic mapping, oligomer chaining for approximate alignment, sandwich DP for splice site detection, and microexon identification with statistical significance testing. | mrna, est sequence, expressed sequence tag, sequence, cdna sequence, genome, cdna, bio.tools |
is used by: deFuse is listed by: Debian is listed by: bio.tools has parent organization: Genentech |
PMID:15728110 | THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_15072, biotools:gmap, nlx_152505 | https://bio.tools/gmap, https://sources.debian.org/src/gmap/ | SCR_008992 | 2026-09-19 12:51:47 | 599 | ||||||
|
SeqSaw Resource Report Resource Website |
SeqSaw (RRID:SCR_009185) | SeqSaw | software resource | A package for mapping of spliced reads and unbiased detection of novel splice junctions from RNA-seq data. | bio.tools |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian |
PMID:21575597 | biotools:seqsaw, OMICS_01250 | https://bio.tools/seqsaw | SCR_009185 | SeqSaw - Short Spliced Sequence Mapping Tool | 2026-09-19 12:51:48 | 0 | ||||||
|
BARS Resource Report Resource Website 10+ mentions |
BARS (RRID:SCR_009123) | BARS | software application, software resource | Software application that is a statistical method that bridges the gap between single-locus and haplotype-based tests of association. It is based on the non-parametric regression techniques embodied by Bayesian Adaptive Regression Splines. (entry from Genetic Analysis Software), THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | gene, genetic, genomic, r, linux, bio.tools |
is listed by: Genetic Analysis Software is listed by: bio.tools is listed by: Debian |
THIS RESOURCE IS NO LONGER IN SERVICE | nlx_154204, biotools:bars, nlx_154228, SCR_009106 | https://bio.tools/bars | SCR_009123 | Bayesian Adaptive Regression Splines | 2026-09-19 12:51:48 | 39 | ||||||
|
NetOGlyc Resource Report Resource Website 500+ mentions |
NetOGlyc (RRID:SCR_009026) | NetOGlyc | analysis service resource, data analysis service, production service resource, service resource, software application, software resource | Server that produces predictions of mucin-type GalNAc O-glycosylation sites in mammalian proteins. | neural network, predict, mucin, galnac, o-glycosylation site, protein, o-glycosylation, glycoprotein, o-glycoproteome, glycosite, proteome, bio.tools |
is listed by: Debian is listed by: bio.tools has parent organization: CBS Prediction Servers |
PMID:23584533 | Acknowledgement requested | nlx_153864, biotools:netoglyc | https://bio.tools/netoglyc | SCR_009026 | NetOGlyc Server | 2026-09-19 12:51:48 | 643 | |||||
|
elastix Resource Report Resource Website 100+ mentions |
elastix (RRID:SCR_009619) | elastix | data processing software, image analysis software, registration software, software application, software resource, software toolkit | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on February 23,2023. Software toolbox for rigid and nonrigid registration of images. elastix is open source software, based on the well-known Insight Segmentation and Registration Toolkit (ITK). The software consists of a collection of algorithms that are commonly used to solve (medical) image registration problems. The modular design of elastix allows the user to quickly configure, test, and compare different registration methods for a specific application. A command-line interface enables automated processing of large numbers of data sets, by means of scripting. A paper describing elastix contains more details: S. Klein, M. Staring, K. Murphy, M.A. Viergever, J.P.W. Pluim, elastix: a toolbox for intensity based medical image registration,; IEEE Transactions on Medical Imaging, vol. 29, no. 1, pp. 196 - 205, January 2010., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | reusable library, analyze, c++, console (text based), domain independent, nifti, nrrd, os independent, philips par/rec, registration, resampling, spatial transformation, bio.tools |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is listed by: Debian is listed by: bio.tools is related to: Insight Segmentation and Registration Toolkit has parent organization: Utrecht University; Utrecht; Netherlands |
PMID:19923044 | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_155845, biotools:elastix | http://www.nitrc.org/projects/elastix, https://bio.tools/elastix, https://sources.debian.org/src/elastix/ | SCR_009619 | 2026-09-19 12:51:50 | 175 | ||||||
|
Supersplat Resource Report Resource Website 1+ mentions |
Supersplat (RRID:SCR_009826) | Supersplat | software resource | An application for discovering potential splice junctions in high throughput sequencing (HTS) data. | bio.tools |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian |
OMICS_01256, biotools:supersplat | https://bio.tools/supersplat | SCR_009826 | 2026-09-19 12:51:51 | 2 | ||||||||
|
ERANGE Resource Report Resource Website 10+ mentions |
ERANGE (RRID:SCR_005240) | ERANGE | software resource | Software for Mapping and Quantifying Mammalian Transcriptomes by RNA-Seq. Its functions are to (i) assign reads that map uniquely in the genome to their site of origin and, for reads that match equally well to several sites (''multireads''), assign them to their most likely site(s) of origin; (ii) detect splice-crossing reads and assign them to their gene of origin; (iii) organize reads that cluster together, but do not map to an already known exon, into candidate exons or parts of exons; and (iv) calculate the prevalence of transcripts from each known or newly proposed RNA, based on normalized counts of unique reads, spliced reads and multireads. The new candidate RNA regions produced can be thought of as ESTs, and, like ESTs, some are provisionally appended to existing gene models if they meet several additional criteria. Remaining unassigned candidate transcribed regions (labeled RNAFAR features) can then be used in conjunction with other confirming data to develop new or revised gene models. | transcriptome, rna-seq, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools |
PMID:18516045 | OMICS_01274, biotools:erange | https://bio.tools/erange | SCR_005240 | Enhanced Read Analysis of Gene Expression | 2026-09-19 12:50:50 | 30 | ||||||
|
RNA-SeQC Resource Report Resource Website 100+ mentions |
RNA-SeQC (RRID:SCR_005120) | RNA-SeQC | software resource | Java software which computes a series of quality control metrics for RNA-seq data and can compare sequencing quality across different samples or experiments to evaluate different experimental parameters. The input can be one or more BAM files, and the output consists of HTML reports and tab delimited files of metrics data. | java, bam file, html, sequence comparison, rnaseq, rna sequence, bio.tools |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian has parent organization: Broad Institute |
PMID:22539670 | Acknowledgement requested, Public | biotools:rna-seqc, OMICS_01234 | https://bio.tools/rna-seqc | SCR_005120 | 2026-09-19 12:50:48 | 214 | ||||||
|
READSCAN Resource Report Resource Website 1+ mentions |
READSCAN (RRID:SCR_005204) | READSCAN | software resource | A highly scalable parallel software program to identify non-host sequences (of potential pathogen origin) and estimate their genome relative abundance in high-throughput sequence datasets. | pathgen, genome, sequence, high-throughput sequence, align, read, host, microbe, virus, taxon, simulation, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools has parent organization: King Abdullah University of Science and Technology; Makkah Province; Saudi Arabia |
PMID:23193222 | OMICS_00222, biotools:readscan | https://bio.tools/readscan | SCR_005204 | 2026-09-19 12:50:49 | 5 | |||||||
|
VirusSeq Resource Report Resource Website 10+ mentions |
VirusSeq (RRID:SCR_005206) | VirusSeq | software resource | An algorithmic software tool for detecting known viruses and their integration sites using next-generation sequencing of human cancer tissue. VirusSeq takes FASTQ files (paired-end reads) as input. | next-generation sequencing, virus, integration site, cancer tissue, genome, rna-seq, whole genome sequencing, fastq, paired-end read, bio.tools |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian has parent organization: University of Texas MD Anderson Cancer Center |
Cancer | OMICS_00227, biotools:virusseq | https://bio.tools/virusseq | SCR_005206 | 2026-09-19 12:50:49 | 23 | |||||||
|
MethPipe Resource Report Resource Website 100+ mentions |
MethPipe (RRID:SCR_005168) | MethPipe | software resource | A computational pipeline for analyzing bisulfite sequencing data. | bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools has parent organization: University of Southern California; Los Angeles; USA |
PMID:24324667 | biotools:methpipe, OMICS_00603 | https://bio.tools/methpipe | SCR_005168 | 2026-09-19 12:50:48 | 108 | |||||||
|
SnpEff Resource Report Resource Website 5000+ mentions |
SnpEff (RRID:SCR_005191) | SnpEff | software resource | Genetic variant annotation and effect prediction software toolbox that annotates and predicts effects of variants on genes (such as amino acid changes). By using standards, such as VCF, SnpEff makes it easy to integrate with other programs. | genome, genetic variant, annotation, effect, variant, gene, cancer variant, gatk, hgsv, single nucleotide polymorphisms, genome sequence, java, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools is related to: Galaxy is related to: GATK has parent organization: SourceForge has parent organization: Wayne State University; Michigan; USA works with: SnpSift |
Cancer | PMID:22728672 | Free, Freely available | biotools:snpeff, OMICS_00186 | https://bio.tools/snpeff, https://sources.debian.org/src/snpeff/ | SCR_005191 | SnpEff - Genetic variant annotation and effect prediction toolbox | 2026-09-19 12:50:49 | 5640 | ||||
|
SimRare Resource Report Resource Website 1+ mentions |
SimRare (RRID:SCR_005226) | SimRare | software resource | A stand-alone executable software with user-friendly graphical interface implemented in Python/C++ for rare variant association studies. It is designed as a unified simulation framework to provide an unbiased and easy manner to evaluate association methods, including novel methods, under a broad range of choice of biological contexts. It consists of three modules, variant data simulator, genotype/phenotype generator and association method evaluator. SimRare generates variant data for gene regions using forward-time simulation which incorporates realistic population demographic and evolutionary scenarios. For phenotype data it is capable of generating both case-control and quantitative traits. The phenotypic effects of variants can be detrimental, protective or non-causal. SimRare has a graphical user interface which allows for easy entry of genetic and phenotypic parameters. Simulated data can be written into external files in a standard format. For novel association method implemented in R it can be imported into SimRare, which has been equipped built in functions to evaluate performance of new method and visually compare it with currently available ones in an unbiased manner. | statistical genetics, simulation framework, gui, association test, sequencing, rare variant, python, c++, bio.tools |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian has parent organization: Google Code has parent organization: Baylor University; Texas; USA |
PMID:22914216 | Acknowledgement requested, GNU General Public License, v3 | OMICS_00257, biotools:simrare | https://bio.tools/simrare | SCR_005226 | SimRare - A program to generate and analyze sequence-based data for rare variant association studies of quantitative and qualitative traits | 2026-09-19 12:50:49 | 2 | |||||
|
PHAge Search Tool Resource Report Resource Website 100+ mentions |
PHAge Search Tool (RRID:SCR_005184) | PHAST | analysis service resource, data analysis service, data or information resource, data set, production service resource, service resource | A web server designed to rapidly and accurately identify, annotate and graphically display prophage sequences within bacterial genomes or plasmids. It accepts either raw DNA sequence data or partially annotated GenBank formatted data and rapidly performs a number of database comparisons as well as phage cornerstone feature identification steps to locate, annotate and display prophage sequences and prophage features. Relative to other prophage identification tools, PHAST is up to 40 times faster and up to 15% more sensitive. It is also able to process and annotate both raw DNA sequence data and Genbank files, provide richly annotated tables on prophage features and prophage quality and distinguish between intact and incomplete prophage. PHAST also generates downloadable, high quality, interactive graphics that display all identified prophage components in both circular and linear genomic views. Databases available for download include Virus DB, Prophage and virus DB, Bacteria DB, and PHAST result DB. Pre-calculated genomes for viewing are also available. | prophage sequence, genome, prophage, sequence, bacterial genome, plasmid, dna sequence, graph, phage, annotate, virus, nucleotide sequence, fasta, annotated genome, genbank, bio.tools, FASEB list |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools has parent organization: University of Alberta; Alberta; Canada |
PMID:21672955 | Acknowledgement requested | biotools:phast, OMICS_00180 | https://bio.tools/phast | SCR_005184 | PHAST - PHAge Search Tool | 2026-09-19 12:50:49 | 243 | |||||
|
Breakpointer Resource Report Resource Website 10+ mentions |
Breakpointer (RRID:SCR_005254) | Breakpointer | software resource | A fast tool for locating sequence breakpoints from the alignment of single end reads (SE) produced by next generation sequencing (NGS). It adopts a heuristic method in searching for local mapping signatures created by insertion/deletions (indels) or more complex structural variants(SVs). With current NGS single-end sequencing data, the output regions by Breakpoint mainly contain the approximate breakpoints of indels and a limited number of large SVs. Notably, Breakpointer can uncover breakpoints of insertions which are longer than the read length. Breakpointer also can find breakpoints of many variants located in repetitive regions. The regions can be used not only as a extra support for SV predictions by other tools (such as by split-read method), but also can serve as a database for searching variants which might be missed by other tools. Breakpointer is a command line tool that runs under linux system. Breakpointer takes advanage of two local mapping features of single-end reads as a consequence of indel/SVs: 1) non-uniform read distribution (depth skewness) and 2) misalignments at the boundaries of indel/SVs. These features are summarized as breakpoint signature. Breakpointer proceeds in three stages in capturing this signature. It is implemented in C++ and perl. Input is the file or files containing alignments of single-end reads against a reference genome (in .BAM format). Output is the predicted regions containing potential breakpoints of SVs (in .GFF format). To be able to read in .BAM files, Breakpointer requires bamtools API, which users should install beforehand. | next-generation sequencing, c++, perl, bio.tools |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian has parent organization: Max Planck Institute for Molecular Genetics; Berlin; Germany |
GNU General Public License | biotools:breakpointer, OMICS_00308 | https://bio.tools/breakpointer | SCR_005254 | 2026-09-19 12:50:50 | 10 | |||||||
|
G-Mo.R-Se Resource Report Resource Website 1+ mentions |
G-Mo.R-Se (RRID:SCR_005273) | G-Mo.R-Se | software resource | Software aimed at using RNA-Seq short reads to build de novo gene models. First, candidate exons are built directly from the positions of the reads mapped on the genome (without any ab initio assembly of the reads), and all the possible splice junctions between those exons are tested against unmapped reads : the testing of junctions is directed by the information available in the RNA-Seq dataset rather than a priori knowledge about the genome. Exons can thus be chained into stranded gene models. | bio.tools, bio.tools |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian |
OMICS_01259, biotools:g-mo.r-se, biotools:gmorse | https://bio.tools/g-mo.r-se, https://bio.tools/gmorse | SCR_005273 | Gene MOdeling using RNA-Seq, G-Mo.R-Se: Gene MOdeling using RNA-Seq | 2026-09-19 12:50:50 | 1 | |||||||
|
inGAP Resource Report Resource Website 10+ mentions |
inGAP (RRID:SCR_005261) | inGAP | software resource | Software mining pipeline guided by a Bayesian principle to detect single nucleotide polymorphisms, insertion and deletions by comparing high-throughput pyrosequencing reads with a reference genome of related organisms. This pipeline is extended to identify and visualize large-size structural variations, including insertions, deletions, inversions and translocations. | structural variation, genome, next-generation sequence, genome analysis, alignment, single nucleotide polymorphism, insertion, deletion, indel, inversion, translocation, windows, linux, macos/x, bio.tools |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian has parent organization: SourceForge has parent organization: Fudan University; Shanghai; China has parent organization: Chinese Academy of Sciences; Beijing; China |
OMICS_00319, biotools:ingap | https://bio.tools/ingap | SCR_005261 | inGAP-sv, inGAP-sv: structural variation detection and visualization, integrative next-generation genome analysis pipeline | 2026-09-19 12:50:50 | 29 | |||||||
|
PEMer Resource Report Resource Website 1+ mentions |
PEMer (RRID:SCR_005263) | software resource | Software package as computational framework with simulation-based error models for inferring genomic structural variants from massive paired-end sequencing data. Package is composed of three modules, PEMer workflow, SV-Simulation and BreakDB. PEMer workflow is a sensitive software for detecting SVs from paired-end sequence reads. SV-Simulation randomly introduces SVs into a given genome and generates simulated paired-end reads from novel genome. | structural variation, genome, next-generation sequencing, bio.tools, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools is related to: BreakDB has parent organization: European Molecular Biology Laboratory |
PMID:19236709 | biotools:pemer, OMICS_00320 | https://bio.tools/pemer, https://bio.tools/pemer | SCR_005263 | Paired-End Mapper | 2026-09-19 12:50:50 | 7 |
Can't find your Tool?
We recommend that you click next to the search bar to check some helpful tips on searches and refine your search firstly. Alternatively, please register your tool with the SciCrunch Registry by adding a little information to a web form, logging in will enable users to create a provisional RRID, but it not required to submit.
Welcome to the dkNET Resources search. From here you can search through a compilation of resources used by dkNET and see how data is organized within our community.
You are currently on the Community Resources tab looking through categories and sources that dkNET has compiled. You can navigate through those categories from here or change to a different tab to execute your search through. Each tab gives a different perspective on data.
If you have an account on dkNET then you can log in from here to get additional features in dkNET such as Collections, Saved Searches, and managing Resources.
Here is the search term that is being executed, you can type in anything you want to search for. Some tips to help searching:
If you are logged into dkNET you can add data records to your collections to create custom spreadsheets across multiple sources of data.
Here are the facets that you can filter the data by.
If you have any further questions please check out our FAQs Page to ask questions and see our tutorials. Click this button to view this tutorial again.
The NIDDK Information Network (dkNET) serves the needs of basic and clinical investigators by providing seamless access to large pools of data and research resources relevant to the mission of The National Institute of Diabetes Digestive and Kidney Diseases (NIDDK). dkNET is hosted at University of California San Diego, and is supported by NIH NIDDK grant U24DK097771.
Email: info_at_ dknet.org
