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http://obi-warp.sourceforge.net/

Software that aligns matrices along a single axis using Dynamic Time Warping (DTW) and a one-to-one (bijective) interpolated warp function.

Proper citation: OBI-Warp (RRID:SCR_012041) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/projects/icplquant/

A proteomics software tool for quantitatively analyzing large mass spectrometric datasets acquired from ICPL based proteomics experiments.

Proper citation: ICPL ESIQuant (RRID:SCR_012047) Copy   

•   Source: SciCrunch Registry

http://www.bioconductor.org/packages/2.11/bioc/html/easyRNASeq.html

Software that calculates the coverage of high-throughput short-reads against a genome of reference and summarizes it per feature of interest (e.g. exon, gene, transcript). The data can be normalized as ''RPKM'' or by the ''DESeq'' or ''edgeR'' package.

Proper citation: easyRNASeq (RRID:SCR_012020) Copy   

•   Source: SciCrunch Registry

https://code.google.com/p/allim/

A user-friendly software tool to estimate allele-specific gene expression.

Proper citation: Allim (RRID:SCR_012114) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/projects/nailsystemsbiology/

A set of software tools to simplify the range of computational activities involved in regulatory network inference. It is technology-independent and includes an interface layer to allow easy integration of components into other applications. It is implemented in MATLAB and is available for all researchers to use.

Proper citation: NAIL (RRID:SCR_012134) Copy   

•   Source: SciCrunch Registry

https://code.google.com/p/localali/

A fast and scalable local network alignment software tool for the identification of functionally conserved modules in multiple networks. LocalAli outperforms all existing algorithms in terms of coverage, consistency and scalability, meanwhile retains a high precision in the identification of functionally coherent subnetworks.

Proper citation: LocalAli (RRID:SCR_012147) Copy   

•   Source: SciCrunch Registry

https://github.com/sequencing

Whole genome secondary analysis on Illumina sequencing platforms.

Proper citation: Isaac (RRID:SCR_012772) Copy   

•   Source: SciCrunch Registry

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

Software that provides an integrated solution for the Illumina microarray data analysis.

Proper citation: lumi (RRID:SCR_012781) Copy   

•   Source: SciCrunch Registry

http://bioinf.comav.upv.es/ngs_backbone/index.html

A bioinformatic application created to work on sequence analysis by using NGS (Next Generation Sequencing) and sanger sequences.

Proper citation: Ngs backbone (RRID:SCR_012907) Copy   

•   Source: SciCrunch Registry

http://www.bioconductor.org/packages/release/bioc/html/rqubic.html

This software package implements the QUBIC algorithm for the qualitative biclustering with gene expression data.

Proper citation: rqubic (RRID:SCR_012869) Copy   

•   Source: SciCrunch Registry

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

Compute differentially bound sites from multiple ChIP-seq experiments using affinity (quantitative) data. Also enables occupancy (overlap) analysis and plotting functions.

Proper citation: DiffBind (RRID:SCR_012918) Copy   

•   Source: SciCrunch Registry

http://www.bioconductor.org/packages/release/bioc/html/eisa.html

A biclustering method; it finds correlated blocks (transcription modules) in gene expression (or other tabular) data.

Proper citation: eisa (RRID:SCR_012883) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/projects/trowel-ec/

An error correction module for Illumina sequencing reads, which is based on the k-mer spectrum approach.

Proper citation: Trowel (RRID:SCR_012890) Copy   

•   Source: SciCrunch Registry

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

Statistical tools for the analysis of ChIP-seq data.

Proper citation: CSAR (RRID:SCR_012930) Copy   

•   Source: SciCrunch Registry

http://www.niehs.nih.gov/research/resources/software/biostatistics/art/

A set of simulation tools to generate synthetic next-generation sequencing reads. ART simulates sequencing reads by mimicking real sequencing process with empirical error models or quality profiles summarized from large recalibrated sequencing data. ART can also simulate reads using user own read error model or quality profiles. ART supports simulation of single-end, paired-end/mate-pair reads of three major commercial next-generation sequencing platforms: Illumina''''s Solexa, Roche''''s 454 and Applied Biosystems'''' SOLiD. ART can be used to test or benchmark a variety of method or tools for next-generation sequencing data analysis, including read alignment, de novo assembly, SNP and structure variation discovery. ART is implemented in C++ with optimized algorithms and is highly efficient in read simulation. ART outputs reads in the FASTQ format, and alignments in the ALN format. ART can also generate alignments in the SAM alignment or UCSC BED file format.

Proper citation: ART (RRID:SCR_006538) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/projects/cohcap/

An algorithm to analyze single-nucleotide resolution methylation data (Illumina 450k methylation array, targeted BS-Seq, etc.). It provides QC metrics, differential methylation for CpG Sites, differential methylation for CpG Islands, integration with gene expression data, and visualization of methylation values.

Proper citation: COHCAP (RRID:SCR_006499) Copy   

•   Source: SciCrunch Registry

http://sammeth.net/confluence/display/FLUX/Home

Software to recontruct abundances of known transcript forms from RNAseq data. The algorithm works by distributing the reads mapping to a given exonic region (or splice junction) among the transcripts including the exon (or splice junction). The input is the annotation of a reference transcriptome and reads from RNAseq technologies aligned to the genome. From the reference annotation, splicing graphs are produced and reads are mapped to corresponding edges in these graphs according to the position where they align in the genomic sequence. The resulting graph with edges labelled by the number of reads can be interpreted as a flow network where each transcript representing a transportation path from its start to its end and consequently each edge a possibly shared segment of transportation along which a certain number of reads per nucleotide -- i.e., a flux -- is observed. Given a density function of reads along a transcript, the expected participation of each transcript in an edge under consideration can be estimated. The basic idea is to cast back from these latter participations and the observed number of reads - allowing for a certain amount of noise - to the original transcript abundancies. To do so, a linear constraint is formalized for each edge, and an optimal solution for the complete set of constraints is found by a standard linear program solver.

Proper citation: FLUX CAPACITOR (RRID:SCR_006651) Copy   

•   Source: SciCrunch Registry

http://www.proteinatlas.org/

Open access resource for human proteins. Used to search for specific genes or proteins or explore different resources, each focusing on particular aspect of the genome-wide analysis of the human proteins: Tissue, Brain, Single Cell, Subcellular, Cancer, Blood, Cell line, Structure and Interaction. Swedish-based program to map all human proteins in cells, tissues, and organs using integration of various omics technologies, including antibody-based imaging, mass spectrometry-based proteomics, transcriptomics, and systems biology. All the data in the knowledge resource is open access to allow scientists both in academia and industry to freely access the data for exploration of the human proteome.

Proper citation: The Human Protein Atlas (RRID:SCR_006710) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/projects/fitgcp/

Software providing a framework for fitting mixtures of probability distributions to genome coverage profiles.

Proper citation: fitGCP (RRID:SCR_006741) Copy   

•   Source: SciCrunch Registry

http://www.niehs.nih.gov/research/resources/software/biostatistics/eagleview/

An information-rich viewer for next-generation genome assembles with data integration capability. EagleView can display a dozen different types of information including base qualities, machine specific trace signals, and genome feature annotations. It provides an easy way for inspecting visually the quality of a genome assembly and validating polymorphism candidate sites (e.g., SNPs) reported by polymorphism discovery tools. It can also facilitate data interpretation and hypothesis generation. EagleView is a multi-platform application developed with C++ and is available for all three major platforms: Windows, Linux, and Mac OS.

Proper citation: EagleView (RRID:SCR_006859) Copy   

•   Source: SciCrunch Registry