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https://www.biodiscovery.com/search/node?keys=Imagene

Software tool as convolutional neural network to quantify natural selection from genomic data.Supervised machine learning algorithm to predict natural selection and estimate selection coefficients from population genomic data. Can be used to estimate any parameter of interest from evolutionary population genetics model., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: ImaGene (RRID:SCR_002178) Copy   

•   Source: SciCrunch Registry

http://www.bioinformatics.nl/QualitySNPng/

Software for the detection and visualization of single nucleotide polymorphisms (SNPs) from next generation sequencing data that uses a haplotype-based strategy.

Proper citation: QualitySNPng (RRID:SCR_002479) Copy   

•   Source: SciCrunch Registry

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

Software that simulates PacBio reads by using either a model-based or sampling-based simulation.

Proper citation: PBSIM (RRID:SCR_002512) Copy   

•   Source: SciCrunch Registry

https://github.com/jeffdaily/parasail

Software tool as multiple sequence alignement for global, local and semi global alignments.

Proper citation: PARASAIL (RRID:SCR_021805) Copy   

•   Source: SciCrunch Registry

https://bioconductor.org/packages/synergyfinder/

Software R package as efficient implementations for all popular synergy scoring models for drug combinations, including HSA, Loewe, Bliss and ZIP and visualization of synergy scores as either two dimensional or three dimensional interaction surface over dose matrix. Used to calculate and visualize synergy scores for drug combinations.

Proper citation: SynergyFinder (RRID:SCR_019318) Copy   

•   Source: SciCrunch Registry

https://bioconductor.org/packages/fgsea/

Software R package for fast preranked gene set enrichment analysis. Allows to make more permutations and get more fine grained p-values, which allows to use accurate stantard approaches to multiple hypothesis correction.

Proper citation: fgsea (RRID:SCR_020938) Copy   

•   Source: SciCrunch Registry

https://github.com/pensoft/omicsdatapaper

Software package for streamlined import of omics metadata from European Nucleotide Archive into OMICS Data Paper manuscript. Omics Data Paper R Shiny app demonstrates workflow for automatic import of ENA genomic metadata into omics data paper manuscript. Streamlined conversion of metadata into manuscript facilitates authoring of omics data papers, which allow omics dataset creators to receive credit for their work and to improve description and visibility of their datasets.

Proper citation: Omics Data Paper Generator (RRID:SCR_019809) Copy   

•   Source: SciCrunch Registry

https://github.com/dmnfarrell/epitopepredict

Open source software tool as programmatic framework and command line tool designed to aid process of MHC binding prediction. Provides access to multiple binding prediction algorithms under single interface and scales for whole genomes using multiple target MHC alleles.Software should be run on Linux operating system. Ubuntu is recommended but most major distributions will be fine. Windows is not supported.

Proper citation: epitopepredict (RRID:SCR_019221) Copy   

•   Source: SciCrunch Registry

https://sydneybiox.github.io/CiteFuse/

Software R package consisting of suite of tools for doublet detection, modality integration, clustering, differential RNA and protein expression analysis, antibody-derived tag evaluation, ligand-receptor interaction analysis and interactive web-based visualization of CITE-seq data.

Proper citation: CiteFuse (RRID:SCR_019321) Copy   

•   Source: SciCrunch Registry

http://metagenomics.iiserb.ac.in/mp3/

Software tool for prediction of pathogenic proteins in genomic and metagenomic data. Used for identification of partial pathogenic proteins predicted from short (100-150 bp) metagenomic reads and also performs on complete protein sequences., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: MP3 tool (RRID:SCR_019282) Copy   

•   Source: SciCrunch Registry

https://guoweilong.github.io/BS_Seeker2/index.html

Software tool as versatile aligning pipeline for bisulfite sequencing data. Used for mapping bisulfite sequencing data and generating DNA methylomes. Improves mappability over existing aligners by using local alignment. Maps reads from RRBS library by building special indexes with improved efficiency and accuracy. Provides additional function for filtering out reads with incomplete bisulfite conversion, which is useful in minimizing overestimation of DNA methylation levels.

Proper citation: Bs-Seeker2 (RRID:SCR_020948) Copy   

•   Source: SciCrunch Registry

https://github.com/pavanvidem/chira

Software tool suite to analyze RNA-RNA interactome experimental data such as CLASH, CLEAR-CLIP, PARIS, SPLASH, etc.

Proper citation: ChiRA (RRID:SCR_019219) Copy   

•   Source: SciCrunch Registry

http://www.ebi.ac.uk/ega/

Web service for permanent archiving and sharing of all types of personally identifiable genetic and phenotypic data resulting from biomedical research projects. The repository allows you to explore datasets from numerous genotype experiments, supplied by a range of data providers. The EGA''s role is to provide secure access to the data that otherwise could not be distributed to the research community. The EGA contains exclusive data collected from individuals whose consent agreements authorize data release only for specific research use or to bona fide researchers. Strict protocols govern how information is managed, stored and distributed by the EGA project. As an example, only members of the EGA team are allowed to process data in a secure computing facility. Once processed, all data are encrypted for dissemination and the encryption keys are delivered offline. The EGA also supports data access only for the consortium members prior to publication.

Proper citation: European Genome phenome Archive (RRID:SCR_004944) Copy   

•   Source: SciCrunch Registry

http://www.smpdb.ca/

An interactive, visual database containing more than 350 small molecule pathways found in humans. More than 2/3 of these pathways (>280) are not found in any other pathway database. SMPDB is designed specifically to support pathway elucidation and pathway discovery in metabolomics, transcriptomics, proteomics and systems biology. It is able to do so, in part, by providing exquisitely detailed, fully searchable, hyperlinked diagrams of human metabolic pathways, metabolic disease pathways, metabolite signaling pathways and drug-action pathways. All SMPDB pathways include information on the relevant organs, subcellular compartments, protein cofactors, protein locations, metabolite locations, chemical structures and protein quaternary structures. Each small molecule is hyperlinked to detailed descriptions contained in the HMDB or DrugBank and each protein or enzyme complex is hyperlinked to UniProt. All SMPDB pathways are accompanied with detailed descriptions and references, providing an overview of the pathway, condition or processes depicted in each diagram. The database is easily browsed and supports full text, sequence and chemical structure searching. Users may query SMPDB with lists of metabolite names, drug names, genes / protein names, SwissProt IDs, GenBank IDs, Affymetrix IDs or Agilent microarray IDs. These queries will produce lists of matching pathways and highlight the matching molecules on each of the pathway diagrams. Gene, metabolite and protein concentration data can also be visualized through SMPDB''s mapping interface. All of SMPDB''s images, image maps, descriptions and tables are downloadable.

Proper citation: Small Molecule Pathway Database (RRID:SCR_004844) Copy   

•   Source: SciCrunch Registry

http://www.picsl.upenn.edu/ANTS/

Software package designed to enable researchers with advanced tools for brain and image mapping. Many of the ANTS registration tools are diffeomorphic*, but deformation (elastic and BSpline) transformations are available. Unique components of ANTS include multivariate similarity metrics, landmark guidance, the ability to use label images to guide the mapping and both greedy and space-time optimal implementations of diffeomorphisms. The symmetric normalization (SyN) strategy is a part of the ANTS toolkit as is directly manipulated free form deformation (DMFFD). *Diffeomorphism: a differentiable map with differentiable inverse. In general, these maps are generated by integrating a time-dependent velocity field. ANTS Applications: * Gray matter morphometry based on the jacobian and/or cortical thickness. * Group and single-subject optimal templates. * Multivariate DT + T1 brain templates and group studies. * Longitudinal brain mapping -- special similarity metric options. * Neonatal and pediatric brain segmentation. * Pediatric brain mapping. * T1 brain mapping guided by tractography and connectivity. * Diffusion tensor registration based on scalar or connectivity data. * Brain mapping in the presence of lesions. * Lung and pulmonary tree registration. * User-guided hippocampus labeling, also of sub-fields. * Group studies and statistical analysis of cortical thickness, white matter volume, diffusion tensor-derived metrics such as fractional anisotropy and mean diffusion.

Proper citation: ANTS - Advanced Normalization ToolS (RRID:SCR_004757) Copy   

•   Source: SciCrunch Registry

http://www.ncbi.nlm.nih.gov/probe

Public registry of nucleic acid reagents designed for use in a wide variety of biomedical research applications including genotyping, gene expression studies, SNP discovery, genome mapping, and gene silencing. Probe records contain information on reagent distributors, probe effectiveness, and computed sequence similarities. The database is constantly updated, with over 11,000,000 probes available. Users may deposit their data into NCBI Probe Database.

Proper citation: NCBI Probe (RRID:SCR_004816) Copy   

•   Source: SciCrunch Registry

http://hmmer.janelia.org/

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.

Proper citation: Hmmer (RRID:SCR_005305) Copy   

•   Source: SciCrunch Registry

http://bioinformatics.ua.pt/becas/

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.

Proper citation: becas (RRID:SCR_005337) Copy   

•   Source: SciCrunch Registry

http://bioportal.bioontology.org/annotator

A Web service that annotates textual metadata (e.g. journal abstract) with relevant ontology concepts. NCBO uses this Web service to annotate resources in the NCBO Resource Index. They also provide this Web service as a stand-alone service for users. This Web service can be accessed through BioPortal or used directly in your software. Currently, the annotation workflow is based on syntactic concept recognition (using concept names and synonyms) and on a set of semantic expansion algorithms that leverage the semantics in ontologies (e.g., is_a relations). Their service methodology leverages ontologies to create annotations of raw text and returns them using semantic web standards.

Proper citation: NCBO Annotator (RRID:SCR_005329) Copy   

•   Source: SciCrunch Registry

http://services.nbic.nl/copub/portal/

Text mining tool that detects co-occuring biomedical concepts in abstracts from the MedLine literature database. It allows batch input of multiple human, mouse or rat genes and produces lists of keywords from several biomedical thesauri that are significantly correlated with the set of input genes. These lists link to Medline abstracts in which the co-occurring input genes and correlated keywords are highlighted. Furthermore, CoPub can graphically visualize differentially expressed genes and over-represented keywords in a network, providing detailed insight in the relationships between genes and keywords, and revealing the most influential genes as highly connected hubs.

Proper citation: CoPub (RRID:SCR_005327) Copy   

•   Source: SciCrunch Registry