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https://ccg.murdoch.edu.au/yabi/login/?next=/yabi/

A web-based analytical environment framework for bioinformatics applications that can be customized for a diverse range of -omics applications. The software system is adaptable to a range of both pluggable execution and data backends in an open source implementation. Enabling seamless and transparent access to heterogenous HPC environments at its core, it then provides an analysis workflow environment that can create and reuse workflows as well as manage large amounts of both raw and processed data in a secure and flexible way across geographically distributed compute resources. Yabi can be used via a web-based environment to drag-and-drop tools to create sophisticated workflows. It can also be accessed through the Yabi command line which is designed for users that are more comfortable with writing scripts or for enabling external workflow environments to leverage the features in Yabi. Configuring tools can be a significant overhead in workflow environments. Yabi greatly simplifies this task by enabling system administrators to configure as well as manage running tools via a web-based environment and without the need to write or edit software programs or scripts.

Proper citation: Yabi (RRID:SCR_005359) Copy   

•   Source: SciCrunch Registry

https://imdevsoftware.wordpress.com/imdev/

A software application of RExcel that integrates R into Excel as an embedded additon for omics tasks and analysis. It can be used specifically for tasks concerning multivariate data visualization, exploration, and analysis. imDev has interactive modules for dimensional reduction, prediction, feature selection, analysis of correlation, and generation of networked structures, all of which provide an integrated environment for systems level analysis of multivariate data.

Proper citation: imDEV (RRID:SCR_014674) Copy   

•   Source: SciCrunch Registry

http://technelysium.com.au/?page_id=13

Software ideal for the most basic of sequencing projects, where assembly of multiple sequences is not required., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: Chromas (RRID:SCR_000598) 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://run.biosimulations.org

Web tool for executing broad range of modeling studies and visualizing their results. Provides web interface for reusing any model. Models, simulations, and visualizations are available under licenses specified for each resource.

Proper citation: runBioSimulations (RRID:SCR_019110) Copy   

•   Source: SciCrunch Registry

https://biosimulators.org

Web tool as collection of containerized biosimulation tools that provide consistent interfaces and guide to choosing simulator. Helps to find simulation tools that have capabilities, including supported modeling frameworks, simulation algorithms, and modeling formats, needed for specific modeling projects.

Proper citation: BioSimulators (RRID:SCR_019111) Copy   

•   Source: SciCrunch Registry

https://jtremblay.github.io/amplicontagger.html

Software tool as rRNA marker gene amplicon pipeline coded in python framework that enables fine tuning and integration of virtually any potential rRNA gene amplicon bioinformatic procedure. Designed to work within HPC environment, supporting complex network of job dependencies with smart restart mechanism in case of job failure or parameter modifications.

Proper citation: AmpliconTagger (RRID:SCR_019112) 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://nmrprocflow.org

Software as graphical and interactive tool dedicated to 1D spectra processing for NMR-based metabolomics.

Proper citation: NMRProcFlow (RRID:SCR_016592) Copy   

•   Source: SciCrunch Registry

https://cistem.org/

Software to process cryo-EM images of macromolecular complexes and obtain high-resolution 3D reconstructions from them.

Proper citation: cisTEM (RRID:SCR_016502) Copy   

•   Source: SciCrunch Registry

https://blake.bcm.edu/emanwiki/EMAN2

Software suite for processing data from transmission electron microscopes. Used in supercomputing facilities as a test application for large-scale computing. Used for single particle reconstruction, helical reconstruction, 2-D crystallography and whole-cell tomography.

Proper citation: EMAN (RRID:SCR_016867) Copy   

•   Source: SciCrunch Registry

https://eda.nc3rs.org.uk/

Web based tool to help in vivo researchers improve design, conduct, analysis and reporting of animal experiments.Provides automated feedback on proposed design and generates graphical summary that aids communication with colleagues, founders and regulatory authorities. Addresses causes of irreproducibility.

Proper citation: Experimental Design Assistant (RRID:SCR_017019) Copy   

•   Source: SciCrunch Registry

https://github.com/nbcrrolls/workflows/tree/master/Production/AmberGPUMDSimulation

A workflow for running molecular dynamics simulations. It can be used for all-atom molecular dynamic simulations, which involve five steps of minimization, one step of heating, three steps of equilibration, and one or more instances of production. The input is a set of directories that include the MD simulation input scripts, system topology and coordinate files. Output files are list of plots, simulation trajectories, intermediate files, restart files, and the like.

Proper citation: Molecular Dynamics Workflow (BioKepler) (RRID:SCR_014389) Copy   

•   Source: SciCrunch Registry

https://github.com/nservant/HiC-Pro

Software tool as optimized and flexible pipeline for Hi-C data processing. Used to process Hi-C data, from raw fastq files, paired end Illumina data, to normalized contact maps.

Proper citation: HiC-Pro (RRID:SCR_017643) Copy   

•   Source: SciCrunch Registry

http://www.aetionomy.eu/

Consortium founded to establish mechanism-based taxonomies for Alzheimer's and Parkinson's disease and other neurodegenerative disorders (NDD), with the goal of facilitating development of more effective and targeted treatments. To do this, the consortium collects and analyzes data to: * Create new ways to combine underutilized data currently available in the literature, public databases, and from private companies * Determine how to dynamically organize and structure different types of knowledge about NDD * Determine how to apply this knowledge to construct new patient group classification * Identify correlations between disease features at molecular, tissue or organ-specific, and clinical levels * Identify sub-groups of patients based on the molecular cause of their disease, as opposed to the nature and location of their symptoms * Deliver data, tools, and recommendations for the biomedical community in the treatment of NDD A mechanism-based taxonomy is hoped to advance the: # Description and organization of the indication-specific data # Linking of data to disease models, based on causal and correlative relationships The expected outcome of AETIONOMY is a new NDD taxonomy system that distinguishes mixed pathologies, allowing for new features or classes to be added into the taxonomy, all with the goal of aiding drug and biomarker discovery.

Proper citation: AETIONOMY (RRID:SCR_000232) Copy   

•   Source: SciCrunch Registry

http://deweylab.biostat.wisc.edu/rsem/

Software package for quantifying gene and isoform abundances from single end or paired end RNA Seq data. Accurate transcript quantification from RNA Seq data with or without reference genome. Used for accurate quantification of gene and isoform expression from RNA-Seq data.

Proper citation: RSEM (RRID:SCR_000262) Copy   

•   Source: SciCrunch Registry

http://bioconductor.org/packages/release/bioc/html/DESeq.html

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 30,2023. Software for differential gene expression analysis based on the negative binomial distribution. It estimates variance-mean dependence in count data from high-throughput sequencing assays and tests for differential expression.

Proper citation: DESeq (RRID:SCR_000154) Copy   

•   Source: SciCrunch Registry

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

Software tool for identifying structural variants (SVs) from paired-end sequencing data.GASV distribution includes three components that are typically run in succession: the BAM file of unique paired-read mappings is processed; structural variants are identified by clustering discordant fragments; and a probabilistic algorithm improves the specificity of GASV predictions.

Proper citation: GASV (RRID:SCR_000061) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/projects/bait/

Software to create strand inheritance plots in data derived from the Strand-Seq sequencing protocol. The software is designed to be flexible with a range of species, and basic template folders can called to read in species-specific data.

Proper citation: BAIT (RRID:SCR_000511) Copy   

•   Source: SciCrunch Registry

http://purl.bioontology.org/ontology/DOID

Comprehensive hierarchical controlled vocabulary for human disease representation.Open source ontology for integration of biomedical data associated with human disease. Disease Ontology database represents comprehensive knowledge base of inherited, developmental and acquired human diseases.

Proper citation: Human Disease Ontology (RRID:SCR_000476) Copy   

•   Source: SciCrunch Registry