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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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PRISM (Stanford database) Resource Report Resource Website 10000+ mentions |
PRISM (Stanford database) (RRID:SCR_005375) | PRISM | data analysis service, analysis service resource, data or information resource, production service resource, service resource, database | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on May 5,2022.Tool that predicts interactions between transcription factors and their regulated genes from binding motifs. Understanding vertebrate development requires unraveling the cis-regulatory architecture of gene regulation. PRISM provides accurate genome-wide computational predictions of transcription factor binding sites for the human and mouse genomes, and integrates the predictions with GREAT to provide functional biological context. Together, accurate computational binding site prediction and GREAT produce for each transcription factor: 1. putative binding sites, 2. putative target genes, 3. putative biological roles of the transcription factor, and 4. putative cis-regulatory elements through which the factor regulates each target in each functional role., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | genomic, transcription factor, function, transcription factor binding site, transcription factor regulator, biological role, target gene, target genomic region, genome, FASEB list |
is listed by: OMICtools is listed by: SoftCite is related to: GREAT: Genomic Regions Enrichment of Annotations Tool has parent organization: Stanford University School of Medicine; California; USA |
PMID:23382538 | THIS RESOURCE IS NO LONGER IN SERVICE | OMICS_00489 | SCR_005375 | Predicting Regulatory Information from Single Motifs | 2026-02-14 02:01:06 | 40813 | ||||||
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Knime4Bio Resource Report Resource Website 1+ mentions |
Knime4Bio (RRID:SCR_005376) | Knime4Bio | software resource | A set of custom nodes for the KNIME (The Konstanz Information Miner) graphical workbench, for analysing next-generation sequencing (NGS) data without the requirement of programming skills. | node, next-generation sequencing, knime, bioinformatics, workflow, sequencing, flow, data, bam, wig, bed, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools has parent organization: Google Code |
PMID:21984761 | GNU General Public License, v3 | biotools:knime4bio, OMICS_01143 | https://bio.tools/knime4bio | SCR_005376 | Knime4Bio: custom nodes for the interpretation of Next Generation Sequencing data with KNIME | 2026-02-14 02:00:53 | 2 | |||||
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Ergatis Resource Report Resource Website 1+ mentions |
Ergatis (RRID:SCR_005377) | Ergatis | software resource | A web interface and scalable software system for bioinformatics workflows that is used to create, run, and monitor reusable computational analysis pipelines. It contains pre-built components for common bioinformatics analysis tasks. These components can be arranged graphically to form highly-configurable pipelines. Each analysis component supports multiple output formats, including the Bioinformatic Sequence Markup Language (BSML). The current implementation includes support for data loading into project databases following the CHADO schema, a highly normalized, community-supported schema for storage of biological annotation data. Ergatis uses the Workflow engine to process its work on a compute grid. Workflow provides an XML language and processing engine for specifying the steps of a computational pipeline. It provides detailed execution status and logging for process auditing, facilitates error recovery from point of failure, and is highly scalable with support for distributed computing environments. The XML format employed enables commands to be run serially, in parallel, and in any combination or nesting level. | workflow, bioinformatics, workflow management, pipeline, computation, genomics, genome, processing |
is listed by: OMICtools has parent organization: SourceForge has parent organization: University of Maryland School of Medicine; Maryland; USA |
PMID:20413634 | Artistic License | OMICS_01140 | SCR_005377 | ergatis: workflow creation and monitoring interface | 2026-02-14 02:01:05 | 2 | ||||||
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CREST Resource Report Resource Website 50+ mentions |
CREST (RRID:SCR_005257) | CREST | software resource | An algorithm for detecting genomic structural variations at base-pair resolution using next-generation sequencing data. CREST uses pieces of DNA called soft clips to find structural variations. Soft clips are the DNA segments produced during sequencing that fail to properly align to the reference genome as the sample genome is reassembled. CREST uses the soft clips to precisely identify sites of chromosomal rearrangement or where pieces of DNA are inserted or deleted. | genome, structural variation, next-generation sequencing, soft clip |
is listed by: OMICtools has parent organization: Pennsylvania State University |
PMID:21666668 | OMICS_00312 | SCR_005257 | 2026-02-14 02:00:51 | 54 | ||||||||
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MolBioLib Resource Report Resource Website |
MolBioLib (RRID:SCR_005372) | MolBioLib | software resource | A compact, portable, and extensively tested C++11 software framework and set of applications tailored to the demands of next-generation sequencing data and applicable to many other applications. It is designed to work with common file formats and data types used both in genomic analysis and general data analysis. A central relational-database-like Table class is a flexible and powerful object to intuitively represent and work with a wide variety of tabular datasets, ranging from alignment data to annotations. MolBioLib includes programs to perform a wide variety of analysis tasks such as computing read coverage, annotating genomic intervals, and novel peak calling with a wavelet algorithm. This package assumes fluency in both UNIX and C++. | c++, next-generation sequencing, genomic, analysis, genome |
is listed by: OMICtools has parent organization: SourceForge |
PMID:22815363 | OMICS_01145 | SCR_005372 | MolBioLib: C++11 framework for rapid develop and deploy of bioinformatic tasks | 2026-02-14 02:00:53 | 0 | |||||||
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PhenoMan Resource Report Resource Website 1+ mentions |
PhenoMan (RRID:SCR_005249) | PhenoMan | software resource | An interactive software program that integrates phenotypic data exploration, selection, management and quality control using a unified platform for association studies of rare and common variants. | phenotype, quality control, statistical genetics, association study, python, 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 |
GNU General Public License, v3 | biotools:phenoman, OMICS_00301 | https://bio.tools/phenoman | SCR_005249 | phenoman - Phenotypic data exploration selection management and quality control for association studies of rare and common variants | 2026-02-14 02:01:04 | 1 | ||||||
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BioExtract Resource Report Resource Website 10+ mentions |
BioExtract (RRID:SCR_005397) | BioExtract | service resource | An open, web-based system designed to aid researchers in the analysis of genomic data by providing a platform for the creation of bioinformatic workflows. Scientific workflows are created within the system by recording tasks performed by the user. These tasks may include querying multiple, distributed data sources, saving query results as searchable data extracts, and executing local and web-accessible analytic tools. The series of recorded tasks can then be saved as a reproducible, sharable workflow available for subsequent execution with the original or modified inputs and parameter settings. Integrated data resources include interfaces to the National Center for Biotechnology Information (NCBI) nucleotide and protein databases, the European Molecular Biology Laboratory (EMBL-Bank) non-redundant nucleotide database, the Universal Protein Resource (UniProt), and the UniProt Reference Clusters (UniRef) database. The system offers access to numerous preinstalled, curated analytic tools and also provides researchers with the option of selecting computational tools from a large list of web services including the European Molecular Biology Open Software Suite (EMBOSS), BioMoby, and the Kyoto Encyclopedia of Genes and Genomes (KEGG). The system further allows users to integrate local command line tools residing on their own computers through a client-side Java applet. | nucleotide sequence, protein sequence, viridiplantae, viridiplantae protein, nucleotide, sequence, protein, viridiplantae, workflow, software, database, bioinformatics, platform, genome, genomic analysis, analytic tool |
is listed by: OMICtools is listed by: SoftCite is related to: NCBI Nucleotide is related to: NCBI Protein Database is related to: UniProt is related to: UniRef is related to: EMBOSS is related to: BioMoby is related to: KEGG has parent organization: Indiana University; Indiana; USA has parent organization: University of South Dakota; South Dakota; USA |
NSF 0090732; NSF IOS-1126481 |
PMID:21546552 PMID:20865520 PMID:20150665 PMID:20054995 |
OMICS_01138 | SCR_005397 | BioExtract Server | 2026-02-14 02:00:53 | 11 | ||||||
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KGGSeq Resource Report Resource Website 50+ mentions |
KGGSeq (RRID:SCR_005311) | KGGSeq | software resource | A biological Knowledge-based mining platform for Genomic and Genetic studies using Sequence data. The software platform, constituted of bioinformatics and statistical genetics functions, makes use of valuable biologic resources and knowledge for sequencing-based genetic mapping of variants / genes responsible for human diseases / traits. It facilitates geneticists to fish for the genetic determinants of human diseases / traits in the big sea of DNA sequences. KGGSeq has paid attention to downstream analysis of genetic mapping. The framework was implemented to filter and prioritize genetic variants from whole exome sequencing data. | genomic, genetic, sequence, mutation, exome sequencing, disease, gene, variant, bio.tools |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian |
Monogenic disorder, Cancer | PMID:22241780 | biotools:kggseq, OMICS_02260 | https://bio.tools/kggseq | SCR_005311 | KGGSeq: A biological Knowledge-based mining platform for Genomic and Genetic studies using Sequence data | 2026-02-14 02:00:52 | 53 | |||||
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SOAPindel Resource Report Resource Website 10+ mentions |
SOAPindel (RRID:SCR_005272) | SOAPindel | software resource | Software focusing on calling indels from the next-generation paired-end sequencing data. | is listed by: OMICtools | PMID:22972939 | OMICS_00099 | SCR_005272 | 2026-02-14 02:00:53 | 44 | |||||||||
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PING Resource Report Resource Website 50+ mentions |
PING (RRID:SCR_005394) | PING | software resource | Software program for probabilistic inference of ChIP-Seq using an empirical Bayes mixture model approach. | clustering, sequencing, statistics, visualization, chip-seq, short-read |
is listed by: OMICtools has parent organization: Bioconductor |
Artistic License v2 | OMICS_00513 | http://www.nitrc.org/projects/ping | SCR_005394 | Probabilistic inference for Nucleosome Positioning, PING - Probabilistic inference for Nucleosome Positioning with MNase-based or Sonicated Short-read Data | 2026-02-14 02:01:05 | 83 | ||||||
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RSeQC Resource Report Resource Website 1000+ mentions |
RSeQC (RRID:SCR_005275) | RSeQC | sequence analysis software, data processing software, data analysis software, software application, software resource | Software package to comprehensively evaluate different aspects of RNA-seq experiments, such as sequence quality, GC bias, polymerase chain reaction bias, nucleotide composition bias, sequencing depth, strand specificity, coverage uniformity and read distribution over the genome structure. RSeQC takes both SAM and BAM files as input, which can be produced by most RNA-seq mapping tools as well as BED files, which are widely used for gene models. | python, qc, rna-seq, high throughput sequencing | is listed by: OMICtools | PMID:22743226 | OMICS_01235 | SCR_005275 | rseqc - RNA-seq quality control package | 2026-02-14 02:00:52 | 1302 | |||||||
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MuGeX Resource Report Resource Website |
MuGeX (RRID:SCR_005306) | MuGeX | service resource | Service that automatically extracts mutation-gene pairs from MEDLINE abstracts for a given disease. | disease, gene, mutation |
is listed by: OMICtools is related to: MEDLINE has parent organization: Sabanci University; Istanbul; Turkey |
PMID:18172928 | Acknowledgement requested | OMICS_01189 | SCR_005306 | MuGeX - Mutation Gene Extractor, Mutation Gene Extractor | 2026-02-14 02:00:52 | 0 | ||||||
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Scripture Resource Report Resource Website 10+ mentions |
Scripture (RRID:SCR_005269) | Scripture | software resource | Software for transcriptome reconstruction that relies solely on RNA-Seq reads and an assembled genome to build a transcriptome ab initio. The statistical methods to estimate read coverage significance are also applicable to other sequencing data. Scripture also has modules for ChIP-Seq peak calling. | transcriptome, rna-seq read, genome sequence, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools is related to: Alt Event Finder has parent organization: Broad Institute |
PMID:20436462 | biotools:scripture, OMICS_01265 | https://bio.tools/scripture | SCR_005269 | 2026-02-14 02:00:51 | 11 | |||||||
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Hmmer Resource Report Resource Website 5000+ mentions |
Hmmer (RRID:SCR_005305) | HMMER | data processing software, data analysis service, analysis service resource, data analysis software, production service resource, service resource, software application, software resource | Tool for searching sequence databases for homologs of protein sequences, and for making protein sequence alignments. It implements methods using probabilistic models called profile hidden Markov models (profile HMMs). Compared to BLAST, FASTA, and other sequence alignment and database search tools based on older scoring methodology, HMMER aims to be significantly more accurate and more able to detect remote homologs because of the strength of its underlying mathematical models. In the past, this strength came at significant computational expense, but in the new HMMER3 project, HMMER is now essentially as fast as BLAST. | homolog, protein sequence, source code, FASEB list |
is used by: Mantis is listed by: OMICtools is listed by: Genetic Analysis Software is listed by: Debian is listed by: SoftCite is related to: VectorBase has parent organization: Janelia Research |
Howard Hughes Medical Institute | PMID:21593126 DOI:10.1093/bioinformatics/14.9.755 |
OMICS_00996, nlx_144358 | https://sources.debian.org/src/hmmer/ | SCR_005305 | HMMER - biosequence analysis using profile hidden Markov models | 2026-02-14 02:01:06 | 8774 | |||||
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SpliceSeq Resource Report Resource Website 100+ mentions |
SpliceSeq (RRID:SCR_005267) | SpliceSeq | data analysis software, software resource, data processing software, software application | A Java application to investigate alternative mRNA splicing patterns in data from high-throughput mRNA sequencing studies. Sequence reads are mapped to splice graphs that unambiguously quantify the inclusion level of each exon and splice junction. The graphs are then traversed to predict the protein isoforms that are likely to result from the observed exon and splice junction reads. UniProt annotations are mapped to each protein isoform to identify potential functional impacts of alternative splicing. This tool may be used on a single RNASeq sample to identify genes with multiple spliceforms, on a pair of samples to identify differential splicing between the two, or on groups of samples to identify statistically significant group level differences in splicing patterns. SpliceSeq can be run from the install page as a java web start application to explore the sequencing data on their server or can be installed locally to analyze your own mRNA-Seq data. | rna-seq, mrna splicing pattern |
is listed by: OMICtools has parent organization: University of Texas MD Anderson Cancer Center |
OMICS_01267 | SCR_005267 | 2026-02-14 02:01:05 | 169 | |||||||||
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SPLITREAD Resource Report Resource Website 1+ mentions |
SPLITREAD (RRID:SCR_005264) | SPLITREAD | software resource | Software for detecting INDELs (small insertions and deletion with size less than 50bp) as well as large deletions that are within the coding regions from the exome sequencing data. It also can be applied to the whole genome sequencing data. | deletion, insertion, indel, genome, exome |
is listed by: OMICtools is related to: drFAST is related to: mrFAST is related to: mrsFAST is related to: VariationHunter is related to: NovelSeq is related to: mrCaNaVaR has parent organization: SourceForge |
OMICS_00323 | SCR_005264 | SPLITREAD - Split read based INDEL/SV Caller | 2026-02-14 02:00:53 | 3 | ||||||||
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bioKepler Resource Report Resource Website 1+ mentions |
bioKepler (RRID:SCR_005385) | bioKepler | software resource | A Comprehensive Bioinformatics Scientific Workflow Module for Distributed Analysis of Large-Scale Biological Data that is distributed on top of the core Kepler scientific workflow system. | module, bioinformatics, workflow, next-generation sequencing |
is listed by: OMICtools is related to: Kepler is related to: Molecular Dynamics Workflow (BioKepler) |
NSF DBI-1062565 | Acknowledgement requested | OMICS_01139 | SCR_005385 | 2026-02-14 02:00:53 | 2 | |||||||
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Hydra Resource Report Resource Website 100+ mentions |
Hydra (RRID:SCR_005260) | Hydra | software resource | Software that detects structural variation (SV) breakpoints by clustering discordant paired-end alignments whose signatures corroborate the same putative breakpoint. Hydra can detect breakpoints caused by all classes of structural variation. Moreover, it was designed to detect variation in both unique and duplicated genomic regions; therefore, it will examine paired-end reads having multiple discordant alignments. Hydra does not attempt to classify SV breakpoints based on the mapping distances and orientations of each breakpoint cluster, it merely detects and reports breakpoints. This is an intentional decision, as it was observed that in loci affected by complex rearrangements, the type of variant suggested by the breakpoint signature is not always correct. Hydra does report the orientations, distances, number of supporting read-pairs, etc., for each breakpoint. It is suggested that downstream methods be used to classify variants based on the genomic features that they overlap and the co-occurrence of other breakpoints. For example, they developed BEDTools for exactly this purpose and the breakpoints reported by Hydra are in the BEDPE format used by BEDTools. Future releases of Hydra will include scripts that assist in the classification process. | structural variation, genome, genomic, breakpoint, c++, cnv, pem, paired-end, segmental duplication, rearrangement |
is listed by: OMICtools is listed by: SoftCite is related to: BEDTools has parent organization: Google Code has parent organization: University of Virginia; Virginia; USA |
OMICS_00318 | SCR_005260 | hydra-sv | 2026-02-14 02:01:05 | 115 | ||||||||
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becas Resource Report Resource Website 10+ mentions |
becas (RRID:SCR_005337) | data access protocol, software resource, web service, service resource | Web application, API and widget able to recognize and annotate biomedical concepts in text.Provides annotations for isolated, nested and intersected entities.Identifies concepts from multiple semantic groups, providing preferred names and enriching them with references to public knowledge resources. | Annotation, biomedical concept recognition, annotate biomedical concepts, text, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools has parent organization: University of Aveiro; Aveiro; Portugal |
Free, Freely available | biotools:becas, OMICS_01173 | https://bioinformatics.ua.pt/software/becas/ https://bio.tools/becas |
SCR_005337 | 2026-02-14 02:01:06 | 12 | ||||||||
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MiRPara Resource Report Resource Website 10+ mentions |
MiRPara (RRID:SCR_005294) | miRPara | software resource | A SVM (support vector machine-based software tool for prediction of most probable microRNA coding regions in genome scale sequences. | microrna, prediction, mirbase, novel, support vector machine, mirna, dicer, ago, coding region, genome sequence, high throughputut sequencing |
is listed by: OMICtools has parent organization: Google Code |
PMID:21504621 | GNU General Public License, v3, Acknowledgement requested | OMICS_00380 | SCR_005294 | mirpara - know and novel miRNA prediction software | 2026-02-14 02:01:06 | 25 |
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