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http://www.cyflogic.com/

Software tool for a flow cytometry data analysis for Microsoft Windows enviroment developed by CyFlo Ltd. Has analysis capabilities, such as dot plot, histogram and statistics.

Proper citation: Cyflogic (RRID:SCR_016635) Copy   

•   Source: SciCrunch Registry

https://www.ncbi.nlm.nih.gov/sutils/pasc/viridty.cgi

Web tool for analysis of pairwise identity distribution within viral families. Used for virus sequence-based classification. Data in the system are updated every day to reflect changes in virus taxonomy and additions of new virus sequences to the public database.

Proper citation: PASC (RRID:SCR_016642) Copy   

•   Source: SciCrunch Registry

https://github.com/zburkett/VoICE

Software that groups vocal elements of birdsong by creating a high dimensionality dataset through scoring spectral similarity between vocalizations.

Proper citation: Vocal Inventory Clustering Engine (VoICE) (RRID:SCR_016004) Copy   

•   Source: SciCrunch Registry

http://home.cc.umanitoba.ca/~frist/Bit/

BIT Core at University of Manitoba, Manitoba, Canada, provides bioinformatics services, resources and collaborations. Support for Genome assembly and annotation, Microarray and Transcriptomics, Systems Biology and Pathway analysis, Databases, Data pipelines, Bioinformatics software, Custom software and programming, Project Wikis, Lab group computer management.

Proper citation: University of Manitoba Department of Plant Science Bio Information Technologies Lab Core Facility (RRID:SCR_017177) Copy   

•   Source: SciCrunch Registry

https://omicc.niaid.nih.gov

Community based, biologist friendly web platform for creating and meta analyzing annotated gene expression data compendia., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: OMiCC (RRID:SCR_016604) Copy   

•   Source: SciCrunch Registry

https://github.com/wilkinsonlab/epigenomics_pipeline

Software tool as epigenomics analysis pipeline for analysis of ChIP-Seq and RNA-Seq data using Docker images containing Galaxy and Jupyter.

Proper citation: Epigenomics Workflow on Galaxy and Jupyter (RRID:SCR_017544) Copy   

•   Source: SciCrunch Registry

https://opticalmapping.info

Platform to provide tutorials and resources in experimental design and data analysis to researchers interested in using optical mapping data.

Proper citation: OpticalMapping.info (RRID:SCR_017146) Copy   

•   Source: SciCrunch Registry

https://cran.r-project.org/web/packages/factoextra/index.html

R package from CRAN to extract and visualize the results of multivariate data analysis.

Proper citation: factoextra (RRID:SCR_016692) Copy   

•   Source: SciCrunch Registry

https://github.com/neurostuff/NiMARE

Software Python package for coordinate and image based meta analysis of neuroimaging data.

Proper citation: NiMARE (RRID:SCR_017398) Copy   

•   Source: SciCrunch Registry

https://www.iconplc.com/innovation/nonmem/

Software tool for nonlinear mixed effects modelling. Used for population pharmacokinetic and pharmacodynamic analysis and to simulate data and to fit data. Used in the development of new drugs. NONMEM versions up through 6 are the property of the Regents of the University of California, San Francisco, but ICON Development Solutions has exclusive rights to license their use. NONMEM 7 up to the current version is the property of ICON Development Solutions.

Proper citation: NONMEM (RRID:SCR_016986) Copy   

•   Source: SciCrunch Registry

http://www.scripps.edu/florida/technologies/cbs/index.html

Core provides access to genome-wide collections of cDNAs and siRNAs that can be used to interrogate cellular models of signal transduction pathways and phenotypes.Provides instruments:Analyst Molecular Devices,Embla Molecular Devices, Envision Perkin Elmer, Platemate Matrix, Tecan M200, Wellmate Matrix.

Proper citation: Scripps Research Institute - Florida Cell Based High Throughput Screening Core Facility (RRID:SCR_017832) Copy   

•   Source: SciCrunch Registry

https://github.com/csb-toolbox/CSB

Software package as an application framework and a Python class library. It is designed for reading, storing and analyzing biomolecular structures in a variety of formats with rich support for statistical analyses.

Proper citation: Computational Structural Biology Toolbox (RRID:SCR_016065) Copy   

•   Source: SciCrunch Registry

https://github.com/satijalab/seurat

Software R package designed for QC, analysis, and exploration of single cell RNA-seq data. Enable users to identify and interpret sources of heterogeneity from single cell transcriptomic measurements, and to integrate diverse types of single cell data. Used for quality control, analysis, and exploration of single-cell RNA sequencing (scRNA-seq) data.

Proper citation: Seurat (RRID:SCR_016341) Copy   

•   Source: SciCrunch Registry

http://www.imgt.org/HighV-QUEST/home.action

Next generation B and T cell sequence alignment and characterization online surface by IMGT. Web portal for immunoglobulin (IG) or antibody and T cell receptor (TR) analysis from NGS high throughput and deep sequencing.

Proper citation: IMGT HighV-QUEST (RRID:SCR_018196) Copy   

•   Source: SciCrunch Registry

http://redrocksw.com/

Software tool for statistics and data visualization by Red Rock Software, Inc. Provides unparalleled chart selection, data analysis and graph customization capabilities.

Proper citation: Deltagraph (RRID:SCR_018084) Copy   

•   Source: SciCrunch Registry

https://biocodecommons.org/

Platform provides resources for genomic observations from collection to analysis and publication. Works with standards community to ensure clear vocabularies and useful ontologies for biological resources and related assets. Biocode Commons is also collaborating on development of Biological Collections Ontology, working to better integrate ontologies, vocabularies, and relevant standards that are related to BCO.

Proper citation: Biocode Commons (RRID:SCR_024553) Copy   

•   Source: SciCrunch Registry

http://www.yeastgenome.org/

A curated database that provides comprehensive integrated biological information for Saccharomyces cerevisiae along with search and analysis tools to explore these data. SGD allows researchers to discover functional relationships between sequence and gene products in fungi and higher organisms. The SGD also maintains the S. cerevisiae Gene Name Registry, a complete list of all gene names used in S. cerevisiae which includes a set of general guidelines to gene naming. Protein Page provides basic protein information calculated from the predicted sequence and contains links to a variety of secondary structure and tertiary structure resources. Yeast Biochemical Pathways allows users to view and search for biochemical reactions and pathways that occur in S. cerevisiae as well as map expression data onto the biochemical pathways. Literature citations are provided where available.

Proper citation: SGD (RRID:SCR_004694) Copy   

•   Source: SciCrunch Registry

http://www.guardian.co.uk/science

Latest science news, comment, analysis and features from guardian.co.uk, the world''s leading liberal voice.

Proper citation: The Guardian: Science (RRID:SCR_005166) Copy   

•   Source: SciCrunch Registry

http://blogs.scientificamerican.com/observations/

From the editors and reporters of Scientific American, this blog delivers commentary, opinion and analysis on the latest developments in science and technology and their influence on society and policy. From reasoned arguments and cultural critiques to personal and skeptical takes on interesting science news, you''ll find a wide range of scientifically relevant insights here.

Proper citation: Scientific American Observations (RRID:SCR_005195) Copy   

•   Source: SciCrunch Registry

http://gst.ornl.gov/

We are the Computational Biology and Bioinformatics Group of the Biosciences Division of Oak Ridge National Laboratory. We conduct genetics research and system development in genomic sequencing, computational genome analysis, and computational protein structure analysis. We provide bioinformatics and analytic services and resources to collaborators, predict prospective gene and protein models for analysis, provide user services for the general community, including computer-annotated genomes in Genome Channel. Our collaborators include the Joint Genome Institute, ORNL''s Computer Science and Mathematics Division, the Tennessee Mouse Genome Consortium, the Joint Institute for Biological Sciences, and ORNL''s Genome Science and Technology Graduate Program.

Proper citation: Computational Biology at ORNL (RRID:SCR_005710) Copy   

•   Source: SciCrunch Registry