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

Software providing a HTML5/javascript based browser for visualizing RNA-seq results in the familiar track layout of common genome browser. But given the quantitative nature of RNA-seq data, in addition to visualizing sequence coverage, the browser quantitates transcript abundance across regions of interest. The HTML5 functionality is made of use to render all the tracks using the canvas drawing element. This greatly reduces the load on servers and allows for rich interactive graphics without the need for third-party plugins. Furthermore, this framework completely segregates data from visualization, making development much easier. The browser is designed to run on all modern browsers: Firefox, Safari, Chrome, Opera and Internet Explorer (though not recommended).

Proper citation: tbrowse (RRID:SCR_001918) Copy   

•   Source: SciCrunch Registry

https://github.com/xflouris/gapmis

A software tool for pairwise sequence alignment with a single gap.

Proper citation: GapMis (RRID:SCR_001999) Copy   

•   Source: SciCrunch Registry

http://figshare.com/articles/Tool_for_rapid_annotation_of_microbial_SNPs_TRAMS_a_simple_program_for_rapid_annotation_of_genomic_variation_in_prokaryotes_/782261

A software program for functional annotation of genomic single nucleotide polymorphisms (SNPs) which is available to download as a single file executable for WINDOWS users with limited computational experience and as a Python script for Mac OS and Linux users. It needs only a tab delimited text file containing SNP locations, reference nucleotide and SNPs in different strains along with a reference genome sequence in standard GenBank or EMBL format. It annotates SNPs as synonymous, non-synonymous or nonsense. Non-synonymous SNPs in start and stop codons are separated as non-start and non-stop SNPs, respectively. SNPs in overlapping features are annotated separately for each feature and multiple nucleotide polymorphisms (MNPs) within a codon are combined prior to annotation. A workflow has also been developed for use in Galaxy to map short reads to a reference genome and extract and annotate the SNPs.

Proper citation: TRAMS (RRID:SCR_002003) Copy   

•   Source: SciCrunch Registry

http://drpowell.github.io/vennt/

A web-tool to generate dynamic Venn diagrams for differential gene expression.

Proper citation: Vennt (RRID:SCR_002083) Copy   

•   Source: SciCrunch Registry

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

An R/Bioconductor package for quality assessment of target enrichment experiments. This package provides functionalities for assessing and visualizing the quality of the target enrichment process, like specificity and sensitivity of the capture, per-target read coverage and so on.

Proper citation: TEQC (RRID:SCR_001943) Copy   

•   Source: SciCrunch Registry

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

Software that provides visualization tools for flow cytometry data.

Proper citation: flowViz (RRID:SCR_002075) 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://www.bioconductor.org/packages/2.11/bioc/html/ShortRead.html

Software package for input, quality assessment and exploration of high-throughput sequence data. Used for input, quality assurance, and basic manipulation of `short read'' DNA sequences such as those produced by Solexa, 454, and related technologies, including exible import of common short read data formats.

Proper citation: ShortRead (RRID:SCR_006813) Copy   

•   Source: SciCrunch Registry

http://compbio.bccrc.ca/software/mutationseq/

A software suite using feature-based classifiers for somatic mutation prediction from paired tumour/normal next-generation sequencing data. mutationSeq has the advantages of integrating different features (e.g., base qualities, mapping qualities, strand bias, and tailed distance features), and validated somatic mutations to make predictions. Given paired normal/tumour bam files, mutationSeq will output the probability of each candidate site being somatic.

Proper citation: mutationSeq (RRID:SCR_006815) Copy   

•   Source: SciCrunch Registry

http://www.bioconductor.org/packages/2.12/bioc/html/RIPSeeker.html

A statistical software package for identifying protein-associated transcripts from RIP-seq experiments. Infer and discriminate RIP peaks from RIP-seq alignments using two-state HMM with negative binomial emission probability. While RIPSeeker is specifically tailored for RIP-seq data analysis, it also provides a suite of bioinformatics tools integrated within this self-contained software package comprehensively addressing issues ranging from post-alignments processing to visualization and annotation.

Proper citation: RIPSeeker (RRID:SCR_006810) 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/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

https://github.com/friend1ws/EBCall

A software package for somatic mutation detection (including InDels). EBCall uses not only paired tumor/normal sequence data of a target sample, but also multiple non-paired normal reference samples for evaluating distribution of sequencing errors, which leads to an accurate mutaiton detection even in case of low sequencing depths and low allele frequencies.

Proper citation: EBCall (RRID:SCR_006791) 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://bioconductor.org/packages/2.9/bioc/html/RamiGO.html

Software package with an R interface sending requests to AmiGO visualize, retrieving DAG GO trees, parsing GraphViz DOT format files and exporting GML files for Cytoscape. Also uses RCytoscape to interactively display AmiGO trees in Cytoscape.

Proper citation: RamiGO (RRID:SCR_006922) Copy   

•   Source: SciCrunch Registry

http://www.seqan.de/projects/razers/

A read mapping software program with adjustable sensitivity based on counting q-grams. RazerS 3 supports shared-memory parallelism, an additional seed-based filter with adjustable sensitivity, a much faster, banded version of the Myers? bit-vector algorithm for verification, memory saving measures and support for the SAM output format. This leads to a much improved performance for mapping reads, in particular long reads with many errors.

Proper citation: RazerS (RRID:SCR_006889) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/projects/artfastqgen/

Software to evaluate and improve the accuracy of sequencing error under different experimental conditions. It can identify which components of a system may be suboptimal and which regions of the genome may be problematic.

Proper citation: ArtificialFastqGenerator (RRID:SCR_006880) 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://code.google.com/p/crop-tingchenlab/

A clustering tool designed mainly for Metagenomics studies, which clusters 16S rRNA sequences into Operational Taxonomic Units (OTU). By using a Gaussian Mixture model, CROP can automatically determine the best clustering result for 16S rRNA sequences at different phylogenetic levels without setting a hard cutoff threshold as hierarchical clustering does. Yet, at the same time, it is able to manage large datasets and to overcome sequencing errors.

Proper citation: CROP (RRID:SCR_006916) Copy   

•   Source: SciCrunch Registry

http://math.mcb.berkeley.edu/~meromit/MetMap/

A computational pipeline for the analysis of MethylSeq experiments., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: MetMap (RRID:SCR_006954) Copy   

•   Source: SciCrunch Registry