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http://sourceforge.net/p/mira-assembler/wiki/Home/

Sequence assembler and mapper for whole genome shotgun and EST/RNASeq sequencing data.

Proper citation: MIRA (RRID:SCR_010731) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/projects/xdrawchem/

A drawing software application designed for drawing and analyzing chemical structures and reactions.

Proper citation: XDrawChem (RRID:SCR_010941) Copy   

•   Source: SciCrunch Registry

http://ppseq.sourceforge.net/

A software suite including a scalable hierarchical multitasking parallel infrastructure and the classical sequencing algorithms.

Proper citation: PPSEQ (RRID:SCR_010913) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/p/arpeggio/wiki/Home/

Software for harmonic compression of ChIP-seq data reveals protein-chromatin interaction signatures.

Proper citation: Arpeggio (RRID:SCR_010876) Copy   

•   Source: SciCrunch Registry

http://bowtie-bio.sourceforge.net/recount/

RNA-seq gene count datasets built using the raw data from 18 different studies. The raw sequencing data (.fastq files) were processed with Myrna to obtain tables of counts for each gene. For ease of statistical analysis, they combined each count table with sample phenotype data to form an R object of class ExpressionSet. The count tables, ExpressionSets, and phenotype tables are ready to use and freely available. By taking care of several preprocessing steps and combining many datasets into one easily-accessible website, we make finding and analyzing RNA-seq data considerably more straightforward.

Proper citation: ReCount - A multi-experiment resource of analysis-ready RNA-seq gene count datasets (RRID:SCR_001774) Copy   

•   Source: SciCrunch Registry

http://mzmatch.sourceforge.net/

A software to provide small tools for common processing tasks for LC/MS data. It is an extension to the metabolomics analysis pipeline mzMatch.R. The software is modular, open source, platform independent and written in Java.

Proper citation: mzMatch (RRID:SCR_000543) Copy   

•   Source: SciCrunch Registry

https://sourceforge.net/projects/avalontoolkit/

Software toolkit containing tools to render and canonicalize SMILES and manipulate MOL file and related formats, as well as structure fingerprinting.

Proper citation: Avalon Cheminformatics Toolkit (RRID:SCR_014273) 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://sourceforge.net/projects/htqc/

A software toolkit including statistics tool for illumina high-throughput sequencing data, and filtration tools for sequence quality, length, tail quality, etc..

Proper citation: HTQC (RRID:SCR_006448) Copy   

•   Source: SciCrunch Registry

http://sybil.sourceforge.net/

A web-based software package for comparative genomics.

Proper citation: Sybil (RRID:SCR_005593) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/tracker/?group_id=76834&atid=835555

Open Biomedical Ontologies Tracker that allows users to browse the Plant Ontology (PO) term requests and view their status. Details include a summary, ID, status, Date opened, assignee, submitter, resolution and assigned priority. New requests are accepted from logged in users.

Proper citation: OBO Tracker: Plant Ontology (PO) TERM requests (RRID:SCR_006497) Copy   

•   Source: SciCrunch Registry

https://www.ebi.ac.uk/chebi/beta/

Collection of chemical compounds and other small molecular entities that incorporates an ontological classification of chemical compounds of biological relevance, whereby the relationships between molecular entities or classes of entities and their parents and/or children are specified. The molecular entities in question are either products of nature or synthetic products used to intervene in the processes of living organisms.

Proper citation: CHEBI (RRID:SCR_002088) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/projects/openadam/

A web-based database management system for the large amount of genotype data generated from the Affymetrix GeneChip Mapping Array and Genome-Wide Human SNP Array platforms.

Proper citation: openADAM (RRID:SCR_002018) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/projects/limsforproteomi/

Laboratory information management system for proteomics. The software works with 2DPAGE-based proteomics workflow.

Proper citation: LIPAGE (RRID:SCR_000290) Copy   

•   Source: SciCrunch Registry

http://mcx.sourceforge.net/

A Monte Carlo simulation software for photon migration in 3D turbid media. It uses Graphics Processing Units (GPU) based massively parallel computing techniques and is extremely fast compared to the traditional single-threaded CPU-based simulations. Using an nVidia 8800GT graphics card (14MP/114Cores), the acceleration is about 300x~400x compared to a single core of Xeon 5120 CPU; this ratio can be as high as 700x with a GTX 280 GPU and 1400x with a GTX 470.

Proper citation: Monte Carlo eXtreme (RRID:SCR_007001) Copy   

•   Source: SciCrunch Registry

http://moose.sourceforge.net/

MOOSE is the Multiscale Object-Oriented Simulation Environment. It is the base and numerical core for large, detailed simulations including Computational Neuroscience and Systems Biology. MOOSE spans the range from single molecules to subcellular networks, from single cells to neuronal networks, and to still larger systems. it is backwards-compatible with GENESIS, and forward compatible with Python and XML-based model definition standards like SBML and MorphML. MOOSE is coordinating with the GENESIS-3 project towards the goals of developing educational resources for modeling. MOOSE is open source software, licensed under the LGPL (Lesser GNU Public License). It has absolutely no warranty. Sponsors: - National Center of Biological Sciences (NCBS) - National Institutes of Health (NIH) Collaboration - EU-India grid - Department of Atomic Energy Science Research Council (DAE/SRC) - Department of Biotechnology (DBT)

Proper citation: Multiscale Object Orientation Simulation Environment (RRID:SCR_008031) Copy   

•   Source: SciCrunch Registry

Ratings or validation data are available for this resource

http://broadinstitute.github.io/picard/

Java toolset for working with next generation sequencing data in the BAM format.

Proper citation: Picard (RRID:SCR_006525) Copy   

•   Source: SciCrunch Registry

http://neurospy.org

neurospy is a free software for functional imaging of fast neuronal activity. neurospy is a modular cross-platform application framework written in Java for the NetBeans Platform. At this time it runs on Windows XP-based LeCroy oscilloscopes and drives acousto-optic scanners via USB using the Analog Devices 9959 Direct Digital Synthesis chip. This combination makes one of the most powerful systems for scanning microscopy available today at any price. neurospy is very easy to port to other kinds of acquisition and scanning hardware.

Proper citation: neurospy (RRID:SCR_007016) Copy   

•   Source: SciCrunch Registry

http://cudasw.sourceforge.net/

CUDASW++ is a bioinformatics software for Smith-Waterman protein database searches that takes advantage of the massively parallel CUDA architecture of NVIDIA Tesla GPUs to perform sequence searches 10x-50x faster than NCBI BLAST. In this algorithm, we deeply explore the SIMT (Single Instruction, Multiple Thread) and virtualized SIMD (Single Instruction, Multiple Data) abstractions to achieve fast speed. This algorithm has been fully tested on Tesla C1060, Tesla C2050, GeForce GTX 280 and GTX 295 graphics cards, and has been incorporated to NVIDIA Tesla Bio Workbench. * Operating System: Linux * Programming language: CUDA and C * Other requirements: CUDA SDK and Toolkits 2.0 or higher

Proper citation: CUDASW++ (RRID:SCR_008862) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/projects/phenofam/

A web-based application that performs gene set enrichment analysis (GSEA) by employing structural and functional information on families of protein domains as annotation terms.

Proper citation: PhenoFam (RRID:SCR_000640) Copy   

•   Source: SciCrunch Registry