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http://cran.r-project.org/web/packages/mlgt/index.html

Software for processing and analysis of high throughput (Roche 454) sequences generated from multiple loci and multiple biological samples. Sequences are assigned to their locus and sample of origin, aligned and trimmed. Where possible, genotypes are called and variants mapped to known alleles.

Proper citation: mlgt (RRID:SCR_001211) Copy   

•   Source: SciCrunch Registry

http://pyro.cme.msu.edu/

Software to simplify the processing of large rRNA sequence libraries (including single-strand and paired-end reads) obtained through high-throughput sequencing technology. Tools for assembly, quality filtering, taxonomy based analysis and taxonomy independent analysis tools, and tools to convert the data to formats suitable for common ecological and statistical packages are available. For extremely large datasets, command line tools are available.

Proper citation: RDPipeline (RRID:SCR_001192) Copy   

•   Source: SciCrunch Registry

http://www.plantagora.org/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 18,2025. A web-based plant genome assembly simulation platform whose resources include out of the box scripts for analyzing assembly data, an on-demand web graphing tool to model your experiment, and a downloadable database with metrics and parameters from over 3,000 simulated genome assemblies.

Proper citation: Plantagora (RRID:SCR_001227) Copy   

•   Source: SciCrunch Registry

Ratings or validation data are available for this resource

http://www.avadis-ngs.com

Software integrated platform that provides analysis, management and visualization tools for next-generation sequencing data. It supports workflows for RNA-Seq, DNA-Seq, ChIP-Seq and small RNA-Seq experiments. Avadis has a built-in Gene Ontology browser to view ontology hierarchies. There are common ontology paths for multiple genes. Platform has collection of data / text mining algorithms, data visualization libraries, workflow/application automation layers, and enterprise data organization functions. These functions are available as libraries that allow developers to rapidly build software prototypes, applications and off-the-shelf products. The collection of algorithms and visualizations in AVADIS grows as new applications using the platform are developed. Currently, the algorithms that AVADIS platform contains range from general purpose statistical mining and modelling algorithms, to text mining algorithms, to very application-specific algorithms for microarray / NGS data analysis, QSAR modelling and biological networks analysis. AVADIS has a collection of powerful mining algorithms like PCA, ANOVA, T-test, clustering, classification and regression methods. The range of visualizations includes most statistical and data modelling related graphing views, and very application-specific visualizations. Some of the statistical views include 2D/3D scatter plots, profile plots, heat maps, histograms and matrix plot; data modelling relevant views include dendrograms, cluster profiles, similarity images and SOM U-matrices. Application-specific views in AVADIS include pathway network views, genome browsers, chemical structure views and pipe-line views. Platform: Windows compatible, Mac OS X compatible, Linux compatible,

Proper citation: Avadis (RRID:SCR_000644) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/projects/metavar/

Software package that enables detection of sequence variation between metagenomic samples.

Proper citation: MaryGold (RRID:SCR_000528) Copy   

•   Source: SciCrunch Registry

http://bioinfo-out.curie.fr/projects/maia/index.php

Software package for automatic processing of the one- and two- (typically, Cy3-green/Cy5-red) color images produced in cDNA, CGH (comparative genome hybridization) or protein microarray technologies. It incorporates the following modules: * The spot localization module (i) identifies the position of each spot on the array, so that the name of the spotted clone can be associated with the correspondent spot; and (ii) establishes the borders between the neighborhood spots letting one to perform further data processing procedures (i.e. to extract quantitative information) for each spot independently of the other neighborhood spots. Visually this results in the generation of a grid covering the image. The spot localization algorithm is fully automatic and robust with respect to deviations from perfect spot alignment and contamination. As an input, it requires only the common array design parameters: number of blocks and number of spots in the x and y directions of the array. * The spot quantification module for one-color images performs segmentation of the spots and estimates the averaged spot and local background intensities. The spot quantification module for two-color images estimates the ratio of the measured intensities in the two color channels at each spot reflecting differential gene (cDNA technology) or protein expression or a change in DNA copy number (CGH experiments) between the test and control samples for the corresponding gene. This module includes algorithms based on the linear regression and segmentation of the spots. A special procedure for detection and removal of the aberrant pixels has been developed to make ratio estimates more resistant to array contamination. It ensures more consistent ratio estimates obtained from different algorithms, and allows delivery of a single trustable ratio value. * The quality control module provides a value of spot quality reflecting the level of confidence in the obtained quantitative estimates at each spot. These quality values can be used either directly to flag out some spots with the quality lower than the user-defined threshold, or in the follow-up analysis as a weight controlling the contribution/influence of the obtained ratio estimates. The unique spot quality value for a spot is derived from a set of marginal quality parameters characterizing certain features of the spot. The contribution of each quality parameter in the overall quality is automatically evaluated based on the user visual classification of the spots, or using information available from the replicated spots, located at the same array or over a set of replicated arrays. * The image simulator allows the generation of a broad spectrum of microarray images with different types of contamination (like non-specific hybridization and dust) and noise. Since in simulation experiment the true values of the ratios are known exactly, it allows one to evaluate, to test and to compare different algorithms for microarray image processing objectively.

Proper citation: MAIA (Microarray Image Analysis) (RRID:SCR_002239) Copy   

•   Source: SciCrunch Registry

http://www.vmatch.de/

Software tool for efficiently solving large scale sequence matching tasks.

Proper citation: Vmatch (RRID:SCR_018968) Copy   

•   Source: SciCrunch Registry

https://github.com/Gaius-Augustus/BRAKER

Software tool as pipeline for accurate and automated gene prediction in novel eukaryotic genomes. Automated gene prediction training and gene prediction pipeline.BRAKER1 is eukaryotic genome annotation pipeline. BRAKER2 is extension of BRAKER1 which allows for fully automated training of gene prediction tools GeneMark EX R14, R15, R17, F1 and AUGUSTUS from RNA Seq and/or protein homology information, and that integrates extrinsic evidence from RNA-Seq and protein homology information into prediction.

Proper citation: BRAKER (RRID:SCR_018964) Copy   

•   Source: SciCrunch Registry

https://github.com/lh3/seqtk

Software fast and lightweight tool for processing sequences in FASTA or FASTQ format.

Proper citation: Seqtk (RRID:SCR_018927) Copy   

•   Source: SciCrunch Registry

https://www.schrodinger.com/ligprep

Software tool to correct and optimize the ligands by generating different protonation states, stereochemistry, tautomers, and ring conformations. Used to generate accurate, energy minimized 3D molecular structures.

Proper citation: Ligprep (RRID:SCR_016746) Copy   

•   Source: SciCrunch Registry

https://support.10xgenomics.com/de-novo-assembly/software/overview/latest/welcome

Software to generate phased, whole genome de novo assemblies from a Chromium prepared library. Used to create true diploid de novo assemblies and can separate homologous chromosomes over long distances.

Proper citation: Supernova assembler (RRID:SCR_016756) Copy   

•   Source: SciCrunch Registry

https://software.broadinstitute.org/software/discovar/blog/

Software tool for variant calling with reference and de novo assembly of genomes. The heart of DISCOVAR is a de novo genome assembler which can generate de novo assemblies for both large and small genomes.

Proper citation: Discovar assembler (RRID:SCR_016755) Copy   

•   Source: SciCrunch Registry

https://github.com/PathwayAnalysisPlatform/PathwayMatcher

Software tool for multi omics pathway mapping and proteoform network generation. Open source software writen in Java to search for pathways related to a list of proteins in Reactome.

Proper citation: PathwayMatcher (RRID:SCR_016759) Copy   

•   Source: SciCrunch Registry

https://www.schrodinger.com/epik

Software program for pKa prediction and protonation state generation for drug like molecules.

Proper citation: Epik (RRID:SCR_016745) Copy   

•   Source: SciCrunch Registry

https://github.com/BlaisProteomics/mzStudio

Software tool for proteomics data analysis, visualization, and notebook application. Dynamic digital canvas for user driven interrogation of mass spectrometry data. Operating system Unix/Linux, Windows.

Proper citation: mzStudio (RRID:SCR_017088) Copy   

•   Source: SciCrunch Registry

https://omictools.com/metacell-tool

Software package for single cell RNA-seq data analysis using k-NN graph partitions. Used to analyze group of scRNA profiles that are highly similar and provides features for deriving them. Can be used with large datasets., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: Metacell (RRID:SCR_017013) Copy   

•   Source: SciCrunch Registry

https://omicssimla.sourceforge.io

Software tool for generating multi omics data with disease status. Simulates genomics (SNPs and copy number variations), epigenomics ( whole genome bisulphite sequencing), transcriptomics ( RNA seq), and proteomics (normalized reverse phase protein array) data at the whole genome level. Available as desktop and web application version.

Proper citation: OmicsSIMLA (RRID:SCR_017011) Copy   

•   Source: SciCrunch Registry

https://inutano.github.io/cwl-metrics/

Software framework to collect and analyze computational resource usage of workflow runs based on common workflow language CWL. Used to share set of tools packaged in containers. Enables users to choose proper cloud instance for workflow runs based on run time metrics data. Operating system Unix/Linux.

Proper citation: cwl-metrics (RRID:SCR_017076) Copy   

•   Source: SciCrunch Registry

https://github.com/dgrun/RaceID

Algorithm for identification of rare and abundant cell types from single cell transcriptome data. Based on transcript counts obtained with unique molecular identifies. Used for discovering rare cell types and corresponding marker genes in healthy and diseased organs. Operating system Unix/Linux, Mac OS, Windows.

Proper citation: RaceID (RRID:SCR_017045) Copy   

•   Source: SciCrunch Registry

http://www.cisreg.ca/cgi-bin/NHR-scan/nhr_scan.cgi

Web interface for computational prediction of nuclear hormone receptor binding sites in genomic sequences. Flexible Hidden Markov Model framework to allow for variable spacing and orientation of half sites. Allows for parameter modifications.

Proper citation: Nuclear Hormone Receptor Scan (RRID:SCR_016975) Copy   

•   Source: SciCrunch Registry