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http://sourceforge.net/projects/triagetools/

A collection of tools for partitioning raw data (fastq reads) from high-throughput sequencing projects. The tools are designed for basic data management as well for prioritizing analysis of certain subsets.

Proper citation: TriageTools (RRID:SCR_000675) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/projects/ngs-toolbox/

A collection of simple Perl scripts adressed to scientists doing research that bases on high throughput genomic/transcriptomic data. It does not require any bioinformatic expertise. The scripts perform fundamental processing steps like sorting sequences by TAGs, FASTQ to FASTA conversion, filtering and counting of redundant sequences, individually adjustable FASTQ quality filtering or basic analyses like base count and analysis of sequence length distribution.

Proper citation: NGS tools for the novice (RRID:SCR_000664) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/projects/operasf/

A sequence assembly software program that uses information from paired-end reads to optimally order and orient contigs assembled from shotgun-sequencing reads.

Proper citation: Opera (RRID:SCR_000665) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/projects/autoassemblyd/

Software which performs local and remote genome assembly by several assemblers based on an XML Template which can replace the large command lines required by most assemblers.

Proper citation: AutoAssemblyD (RRID:SCR_001087) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/projects/splicegrapher/

Software that predicts alternative splicing patterns and produces splice graphs that capture in a single structure the ways a gene''s exons may be assembled. It enhances gene models using evidence from next-generation sequencing and EST alignments.

Proper citation: SpliceGrapher (RRID:SCR_006657) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/projects/polgui/

An interface between MATLAB and the Polhemus Fastrak digitizer used to digitize fiducial locations and scalp EEG electrode locations. There are 5 versions all of which work under MATLAB R14 (on both linux and windows platforms), # polgui_ver1_r14 : works with 1 receiver (stylus pen) # polgui_ver2_r14 : works with 2 receivers (including the pen) # polgui_ver3_r14 : works with 3 receivers(including the pen) # polgui_ver4_r14 : works with 4 receivers (including the pen) # polgui_ver5_r14 : Generic version which works with 1/2/3/4 receivers (WARNING: Ver 5 might be buggy; not fully tested) Requirements: MATLAB R14 (Linux/Windows)

Proper citation: POLGUI - Matlab Polhemus Interface (RRID:SCR_006752) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/projects/bmdexpress/

Bioinformatics tool used to analyze microarray dose-response data. The analysis provides benchmark dose estimates at which different cellular processes are altered in toxicogenomic experiments.

Proper citation: BMDExpress (RRID:SCR_006823) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/projects/mubiomics/

A set of scripts (mostly python) for processing reads generated by the Roche 454 or Illumina next-gen sequencing platforms. Included are quality control, read demultiplexing and microbiome characterisation scripts for use with usearch, pplacer and RDP classifier.

Proper citation: mubiomics (RRID:SCR_006785) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/projects/qudaich/

A software package for local sequence alignment for next-generation sequencing (NGS) data. It generates the pairwise local alignments between a query dataset against a database. The main design purpose of qudaich is to focus on datasets from next generation sequencing. These the datasets generally have hundreds of thousand sequences or more, and so, the input database should contain large number of sequences. Qudaich is flexible and its algorithmic structure imposes no restriction on the absolute limit of the acceptable read length, but the current version of qudaich allow read length <2000 bp. Qudaich can be used to align DNA, translated DNA and protein sequences.

Proper citation: Qudaich (RRID:SCR_006775) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/projects/aeo/

AEO represents the Adverse Event Ontology, a community-driven ontology developed to standardize and integrate data on biomedical adverse events (e.g., vaccine adverse events) and support computer-assisted reasoning. The AEO also can be found in BioPortal, http://bioportal.bioontology.org/ontologies/45534?p=terms

Proper citation: Adverse Event Ontology (RRID:SCR_006807) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/projects/gbsbarcode/

PERL script used to split barcode of Illumina sequencing data created by GBS protocol (www.maizegenetics.net). The barcode has variable size. Paired-end reads are supported.

Proper citation: GBS barcode splitter (RRID:SCR_006799) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/projects/bamstats/

A GUI desktop tool for calculating and displaying metrics to assess the success of Next Generation Sequencing mapping tools. BAMstats is written in Java and based around the Picard API.

Proper citation: BAMStats (RRID:SCR_006973) Copy   

•   Source: SciCrunch Registry

http://seqbarracuda.sourceforge.net/

A sequence mapping software that utilizes the massive parallelism of graphics processing units to accelerate the inexact alignment of short sequence reads to a particular location on a reference genome. It can align a paired-end library containing 14 million pairs of 76bp reads to the Human genome in about 27 minutes (from fastq files to SAM alignment) using a ��380 NVIDIA Geforce GTX 680*. The alignment throughput can be boosted further by using multiple GPUs (up to 8) at the same time. Being based on BWA (http://bio-bwa.sf.net) from the Sanger Institute, BarraCUDA delivers a high level of alignment fidelity and is comparable to other mainstream alignment programs. It can perform gapped alignment with gap extensions, in order to minimise the number of false variant calls in re-sequencing studies.

Proper citation: BarraCUDA (RRID:SCR_006881) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/p/fastsemsim/home/Home/

A package that implements several semantic similarity measures. It is both a library and an end-user application, featuring an intuitive graphical user interface (GUI). It has been implemented with the aim of being fast, expandable, and easy to use. It allows the user to work with the most updated version of GO database and customizable annotation corpora. It provides a set of logically-organized classes that can be easily exploited to both integrate semantic similarity into different analysis pipelines and extend the library with new measures. Platform: Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible

Proper citation: FastSemSim (RRID:SCR_006919) Copy   

•   Source: SciCrunch Registry

http://niftilib.sourceforge.net

Niftilib is a set of i/o libraries for reading and writing files in the nifti-1 data format. nifti-1 is a binary file format for storing medical image data, e.g. magnetic resonance image (MRI) and functional MRI (fMRI) brain images. Niftilib currently has C, Java, MATLAB, and Python libraries; we plan to add some MATLAB/mex interfaces to the C library in the not too distant future. Niftilib has been developed by members of the NIFTI DFWG and volunteers in the neuroimaging community and serves as a reference implementation of the nifti-1 file format. In addition to being a reference implementation, we hope it is also a useful i/o library. Niftilib code is released into the public domain, developers are encouraged to incorporate niftilib code into their applications, and, to contribute changes and enhancements to niftilib. Please contact us if you would like to contribute additonal functionality to the i/o library.

Proper citation: Niftilib (RRID:SCR_003355) Copy   

•   Source: SciCrunch Registry

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

An ontology designed to represent the variety of methods used to make qualitative and quantitative clinical and phenotype measurements both in the clinic and with model organisms.

Proper citation: Measurement Method Ontology (RRID:SCR_003373) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/projects/primerdesigner/

High throughput PCR primer design software. Target regions defined through a rich set of descriptors, such as Ensembl accessions and arbitrary genomic coordinates, may be specified. Primer pairs are then selected computationally to produce a minimal amplicon set capable of tiling across the specified target regions. As part of the tiling process, primer pairs are computationally screened to meet the criteria for success with one of two PCR amplification protocols.

Proper citation: JCVI Primer Designer (RRID:SCR_003275) Copy   

•   Source: SciCrunch Registry

https://bitbucket.org/dranew/defuse

Software package for gene fusion discovery using RNA-Seq data. It uses clusters of discordant paired end alignments to inform a split read alignment analysis for finding fusion boundaries.

Proper citation: deFuse (RRID:SCR_003279) Copy   

•   Source: SciCrunch Registry

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

An ontology designed to be used to standardize morphological and physiological measurement records generated from clinical and model organism research and health programs.

Proper citation: Clinical Measurement Ontology (RRID:SCR_003291) Copy   

•   Source: SciCrunch Registry

http://primerseq.sourceforge.net/

Software that designs RT-PCR primers that evaluate alternative splicing events by incorporating RNA-Seq data. It is particularly advantageous for designing a large number of primers for validating alternative splicing events found in RNA-Seq data. It incorporates RNA-Seq data in the design process to weight exons by their read counts. Essentially, the RNA-Seq data allows primers to be placed using actually expressed transcripts. This could be for a particular cell line or experimental condition, rather than using annotations that incorporate transcripts that are not expressed for the data. Alternatively, you can design primers that are always on constitutive exons. PrimerSeq does not limit the use of gene annotations and can be used for a wide array of species.

Proper citation: PrimerSeq (RRID:SCR_003295) Copy   

•   Source: SciCrunch Registry