Fixseq – Universal Count Correction for high-throughput Sequencing

Fixseq

:: DESCRIPTION

FIXSEQ is a over-dispersion correction technique that serves as a smarter way to de-duplicate counts.

::DEVELOPER

the Gifford Laboratory

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux/ Windows/MacOsX
  • R

:: DOWNLOAD

  Fixseq

:: MORE INFORMATION

Citation

Hashimoto TB, Edwards MD, Gifford DK.
Universal count correction for high-throughput sequencing.
PLoS Comput Biol. 2014 Mar 6;10(3):e1003494. doi: 10.1371/journal.pcbi.1003494. PMID: 24603409; PMCID: PMC3945112.

dd_detection – Detecting Dispersed Duplications in High-Throughput Sequencing Data

dd_detection

:: DESCRIPTION

dd_detection is a tool for finding dispersed duplications (DDs) in high throughput sequencing data.

::DEVELOPER

dd_detection team

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux
  • samtools
  • C++ compiler

:: DOWNLOAD

 dd_detection

:: MORE INFORMATION

Citation:

Detecting Dispersed Duplications in High-Throughput Sequencing Data using a Database-Free Approach.
Kroon M, Lameijer EW, Lakenberg N, Hehir-Kwa JY, Thung DT, Slagboom PE, Kok JN, Ye K.
Bioinformatics. 2015 Oct 27. pii: btv621.

bcbio 1.2.8 – Best-practice pipelines for fully automated High Throughput Sequencing analysis

bcbio-nextgen 1.2.8

:: DESCRIPTION

bcbio-nextgen is a python toolkit providing best-practice pipelines for fully automated high throughput sequencing analysis.

::DEVELOPER

Blue Collar Bioinformatics

:: SCREENSHOTS

N/A

:: REQUIREMENTS

:: DOWNLOAD

 bcbio-nextgen

:: MORE INFORMATION

HTSeq 0.13.5 – Process and Analyze data from High-throughput Sequencing (HTS) Assays

HTSeq 0.13.5

:: DESCRIPTION

HTSeq is a Python package that provides infrastructure to process data from high-throughput sequencing assays.

::DEVELOPER

Huber Group

:: SCREENSHOTS

N/A

:: REQUIREMENTS

:: DOWNLOAD

 HTSeq

:: MORE INFORMATION

Citation

HTSeq–a Python framework to work with high-throughput sequencing data.
Anders S, Pyl PT, Huber W.
Bioinformatics. 2015 Jan 15;31(2):166-9. doi: 10.1093/bioinformatics/btu638.

ChIPseqR 1.46.0 – Identifying Protein Binding Sites in High-Throughput Sequencing Data

ChIPseqR 1.46.0

:: DESCRIPTION

ChIPseqR is an algorithm for the analysis of nucleosome positioning and histone modification ChIP-seq experiments.

::DEVELOPER

CSIRO Transformational Bioinformatics

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux / Windows /MacOsX
  • R package
  • BioConductor

:: DOWNLOAD

 ChIPseqR

:: MORE INFORMATION

Citation

ChIPseqR: analysis of ChIP-seq experiments.
Humburg P, Helliwell CA, Bulger D, Stone G.
BMC Bioinformatics. 2011 Jan 31;12:39. doi: 10.1186/1471-2105-12-39.

BTP 1.0 – Analyzing Intra-tumor Heterogeneity from High-throughput Sequencing data

BTP 1.0

:: DESCRIPTION

BTP (Binary Tree Partition)is a novel combinatorial formulation of the problem of constructing the subpopulations of tumor cells from the variant allele frequencies of somatic mutations.

::DEVELOPER

Raphael Lab

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux
  • Python

:: DOWNLOAD

 BTP

:: MORE INFORMATION

Citation:

A combinatorial approach for analyzing intra-tumor heterogeneity from high-throughput sequencing data.
Hajirasouliha I, Mahmoody A, Raphael BJ.
Bioinformatics. 2014 Jun 15;30(12):i78-86. doi: 10.1093/bioinformatics/btu284.

QuantumClone 1.0.0.6 – Clustering Mutations using High Throughput Sequencing (HTS) Data

QuantumClone 1.0.0.6

:: DESCRIPTION

QuantumClone is a clonal reconstruction method for whole genome or whole exome sequencing data.

::DEVELOPER

Boeva lab

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux / MacOsX/ Windows
  • R

:: DOWNLOAD

QuantumClone 

:: MORE INFORMATION

Citation

Deveau P, et al.
QuantumClone: clonal assessment of functional mutations in cancer based on a genotype-aware method for clonal reconstruction.
Bioinformatics. 2018 Jun 1;34(11):1808-1816. doi: 10.1093/bioinformatics/bty016. PMID: 29342233; PMCID: PMC5972665.

REDseq 1.36.0 – Analysis of High-throughput Sequencing data processed by Restriction Enzyme Digestion

REDseq 1.36.0

:: DESCRIPTION

REDseq includes functions to build restriction enzyme cut site (RECS) map, distribute mapped sequences on the map with five different approaches, find enriched/depleted RECSs for a sample, and identify differentially enriched/depleted RECSs between samples.

::DEVELOPER

Program in Gene Function and Expression@umassmed

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Windows/Linux/MacOsX
  • BioConductor
  • R package

:: DOWNLOAD

 REDseq

:: MORE INFORMATION

Citation:

Chen PB, Zhu LJ, Hainer SJ, McCannell KN, Fazzio TG.
Unbiased chromatin accessibility profiling by RED-seq uncovers unique features of nucleosome variants in vivo.
BMC Genomics. 2014 Dec 15;15(1):1104. doi: 10.1186/1471-2164-15-1104. PMID: 25494698; PMCID: PMC4378318.

pRESTO 0.5.13 – Processing raw reads from high-throughput Sequencing of Lymphocyte Repertoires

pRESTO 0.5.13

:: DESCRIPTION

pRESTO (REpertoire Sequencing TOolkit) is an integrated collection of platform-independent Python modules for processing raw reads from high-throughput (next-generation) sequencing of lymphocyte repertoires.

::DEVELOPER

Kleinstein Lab

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux / Windows/ MacOsX
  • Python
  • Biopython
  • MUSCLE

:: DOWNLOAD

 pRESTO

:: MORE INFORMATION

Citation

pRESTO: a toolkit for processing high-throughput sequencing raw reads of lymphocyte receptor repertoires.
Vander Heiden JA, Yaari G, Uduman M, Stern JN, O’Connor KC, Hafler DA, Vigneault F, Kleinstein SH.
Bioinformatics. 2014 Mar 26.

GPSeq 0.5 – Using the Generalized Poisson distribution to model sequence read counts from high throughput sequencing experiments

GPSeq 0.5

:: DESCRIPTION

GPSeq is a software tool to analyze RNA-seq data to estimate gene and exon expression, identify differentially expressed genes, and differentially spliced exons.

:: DEVELOPER

Liang Chen’s Laboratory

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux/MacOsX/Windows
  • R package/Perl/C Compiler

:: DOWNLOAD

 GPSeq

:: MORE INFORMATION

Citation:

A two-parameter generalized Poisson model to improve the analysis of RNA-seq data.
Srivastava S, Chen L.
Nucleic Acids Res. 2010 Sep;38(17):e170. doi: 10.1093/nar/gkq670.