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http://www2.mrc-lmb.cam.ac.uk/relion
Software for determination of cryo-EM structures. It employs an empirical Bayesian approach to refinement of (multiple) 3D reconstructions or 2D class averages in electron cryo-microscopy.
Proper citation: RELION (RRID:SCR_016274) Copy
Simulation software for improving the performance of real systems. Used for developing, analyzing, and packaging dynamic feedback models.
Proper citation: Vensim (RRID:SCR_016394) Copy
Software tool for multi-omics data analysis that can perform complex and personalized analysis. Network regulation and molecular mechanism models can be customized according to the requirements of the users.
Proper citation: OmicsBean (RRID:SCR_016322) Copy
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
https://www.genomics.agilent.com/article.jsp?pageId=2100
Software that performs data analysis algorithms for QPCR data. The software is included with the purchase of the Agilent MxPro QPCR System., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.
Proper citation: MxPro QPCR (RRID:SCR_016375) Copy
http://bioconductor.org/packages/release/bioc/html/MetaCyto.html
Software tool for automated meta-analysis of mass and flow cytometry data. Provides functions for preprocessing, automated gating and meta-analysis of cytometry data and collection of cytometry data from the ImmPort database.
Proper citation: MetaCyto (RRID:SCR_016415) Copy
https://deeptools.readthedocs.io/en/develop/
Python based tools to process, visualize and analyse high-throughput sequencing data, such as ChIP-seq, RNA-seq or MNase-seq. Implemented within Galaxy framework. Used to perform complete bioinformatic workflows ranging from quality controls and normalizations of aligned reads to integrative analyses, including clustering and visualization approaches.
Proper citation: Deeptools (RRID:SCR_016366) Copy
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
https://github.com/mikessh/migec
Software package for analysis of immune repertoire sequencing data. Used for recovery of T Cell Receptor ( TCR ) data from bulk population data.Used for high-throughput sequencing data analysis. Allows for error correction while preserving the natural diversity of complex immune repertoires.
Proper citation: migec (RRID:SCR_016337) Copy
http://www.flir.jp/instruments/display/?id=54865
Software application for thermography for FLIR Systems. It has a basic thermal image analysis function including color palette and image adjustment function. Used to analyse the thermographic measurement data.
Proper citation: FLIR tools (RRID:SCR_016330) Copy
https://hub.docker.com/r/biodepot/star-for-criu/
Software as an Hot Start software container for STAR alignment using CRIU (Checkpoint Restore in Userspace) tool to freeze the running container. Can be deployed to align RNA sequencing data. Used in the processing of biomedical big data for better reproducibility and reliability.
Proper citation: star-for-criu (RRID:SCR_016294) Copy
http://www.nitrc.org/projects/mica/
Software toolbox based on FSL command line tools that performs masked independent component analysis and related analyses in an integrated way within a spatially restricted subregion of the brain. Used for investigating functional connectivity in functional magnetic resonance imaging data in the field of neuroimaging.
Proper citation: masked ICA (mICA) Toolbox (RRID:SCR_016349) Copy
http://sourceforge.net/projects/molbiolib/
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++.
Proper citation: MolBioLib (RRID:SCR_005372) Copy
A Web-based Tool for High-throughput Primer and Probe Design. The program has its different utilities available on its web server. A standalone version is also available. Algorithms: * SSPD - Sequence Specific Primer Design: to design primers for each of the specific sequences given by the user in the query input file against any alternate potential hybridization with any of the sequences given in the database input file. * PSPD - Probe Specific Primer Design: to design primers it selects the gene-specific fragments (probes) to design primer pairs for their PCR amplification. * FSPD Fragment Specific Primer Design: primer design algorithm used when there is a very long query sequence for which multiple primers are required for its amplification. * Check Binding Specificity * Probe Design Only: Probe design algorithm could be used to find sequence-specific probes, which doesn''t show any blast hit against database. Such probe design has been used for targeted sequencing like agilent sure-select technology with next-generation sequencing.
Proper citation: PRIMEGENS (RRID:SCR_005474) Copy
http://bowtie-bio.sourceforge.net/index.shtml
Software ultrafast memory efficient tool for aligning sequencing reads. Bowtie is short read aligner.
Proper citation: Bowtie (RRID:SCR_005476) Copy
http://www.cma.mgh.harvard.edu/iatr/
A centrally available listing of all image analysis tools that are available to the neuroscience community in order to facilitate the development, identification, and sharing of tools. It is hoped that this helps the tool developers to get their tools to a larger user community and to reduce redundancy (or at least utilize tool redundancy to facilitate optimal tool design) in tool development. This also helps tool users in identification of the existing tools for specific problems as they arise. The registry is designed to be self-moderated. This means that all tool entries are owned by some responsible party who enters the tool information, and keeps it up to date via the Web.
Proper citation: Internet Analysis Tools Registry (RRID:SCR_005638) Copy
Data analysis service to predict the function of your favorite genes and gene sets. Indexing 1,421 association networks containing 266,984,699 interactions mapped to 155,238 genes from 7 organisms. GeneMANIA interaction networks are available for download in plain text format. GeneMANIA finds other genes that are related to a set of input genes, using a very large set of functional association data. Association data include protein and genetic interactions, pathways, co-expression, co-localization and protein domain similarity. You can use GeneMANIA to find new members of a pathway or complex, find additional genes you may have missed in your screen or find new genes with a specific function, such as protein kinases. Your question is defined by the set of genes you input. If members of your gene list make up a protein complex, GeneMANIA will return more potential members of the protein complex. If you enter a gene list, GeneMANIA will return connections between your genes, within the selected datasets. GeneMANIA suggests annotations for genes based on Gene Ontology term enrichment of highly interacting genes with the gene of interest. GeneMANIA is also a gene recommendation system. GeneMANIA is also accessible via a Cytoscape plugin, designed for power users. Platform: Online tool, Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible
Proper citation: GeneMANIA (RRID:SCR_005709) Copy
http://estbioinfo.stat.ub.es/?page_id=2
The Statistics and Bioinformatics research group has as its main objectives the development of methods and tools to deal with problems appearing in the interface between Statistics and Bioinformatics. We started focusing in DNA microarrays but we are also interested in statistical methods for ''omics'' data integration and next generation sequencing (NGS). Our group collaborates with different research groups in the fields of biology and biomedicine, to whom it offers statistical support for problems which are specifically statistic in nature, such as experimental design or microarray data analysis, and also in more general aspects, such as modeling, analysis or data mining. After a first period of collaboration agreements with the Fundaci�� Vall d''Hebr��n Institut de Recerca we contributed to the creation of the Statistics and Bioinformatics Unit (UEB) which provides statistical and bioinformatical support to VHIR researchers.
Proper citation: University of Barcelona Statistics and Bioinformatics Research Group (RRID:SCR_005704) Copy
http://geneontology.svn.sourceforge.net/viewvc/geneontology/go-moose/
go-moose is intended as a replacement for the aging go-perl and go-db-perl Perl libraries. It is written using the object oriented Moose libraries. It can be used for performing a number of analyses on GO data, including the remapping of GO annotations to a selected subset of GO terms. Platform: Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible
Proper citation: go-moose (RRID:SCR_005666) Copy
GOTaxExplorer presents a new approach to comparative genomics that integrates functional information and families with the taxonomic classification. It integrates UniProt, Gene Ontology, NCBI Taxonomy, Pfam and SMART in one database. GOTaxExplorer provides four different query types: selection of entity sets, comparison of sets of Pfam families, semantic comparison of sets of GO terms, functional comparison of sets of gene products. This permits to select custom sets of GO terms, families or taxonomic groups. For example, it is possible to compare arbitrarily selected organisms or groups of organisms from the taxonomic tree on the basis of the functionality of their genes. Furthermore, it enables to determine the distribution of specific molecular functions or protein families in the taxonomy. The comparison of sets of GO terms allows to assess the semantic similarity of two different GO terms. The functional comparison of gene products makes it possible to identify functionally equivalent and functionally related gene products from two organisms on the basis of GO annotations and a semantic similarity measure for GO. Platform: Online tool, Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible
Proper citation: GOTaxExplorer (RRID:SCR_005720) Copy
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