discovering-cse 0.32 – Discovering Context-Specific Sequencing Errors

discovering-cse 0.32

:: DESCRIPTION

discovering-cse is a statistically rigorous framework for the discovery of motifs that induce sequencing errors.

::DEVELOPER

discovering-cse team

:: SCREENSHOTS

n/a

:: REQUIREMENTS

  • Linux /Windows/ MacOsX
  • Python

:: DOWNLOAD

 discovering-cse

:: MORE INFORMATION

Citation

BMC Bioinformatics. 2013;14 Suppl 5:S1. doi: 10.1186/1471-2105-14-S5-S1. Epub 2013 Apr 10.
Discovering motifs that induce sequencing errors.
Allhoff M, Schönhuth A, Martin M, Costa IG, Rahmann S, Marschall T.

AutoEditor 1.20 – Automated Correction of Genome Sequence Errors

AutoEditor 1.20

:: DESCRIPTION

AutoEditor is a tool for correcting sequencing and basecaller errors using sequence assembly and chromatogram data. On average AutoEditor corrects 80% of erroneous base calls, with an accuracy of 99.99%.This in turn improves the overall accuracy of genome sequences and facilitates the use of these sequences for polymorphism discovery.

::DEVELOPER

the Center for Bioinformatics and Computational Biology

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux

:: DOWNLOAD

AutoEditor

:: MORE INFORMATION

Citation

“Automated correction of genome sequence errors.”
Gajer P, Schatz M, Salzberg SL,
Nucleic Acids Research, 2004. 32(2):562-9.

reHCstar 2.1.5 – Algorithm for Haplotype Inference problem on Pedigree data with Recombinations, Errors and Mutations

reHCstar 2.1.5

:: DESCRIPTION

reHCstar is a SAT-based program to compute a haplotype configuration on pedigrees with recombinations, genotyping errors, and missing genotypes.

::DEVELOPER

AlgoLab

:: SCREENSHOTS

N/A

::REQUIREMENTS

  • Linux
  • CMake
  • GNU make
  • Boost FileSystem, System, DateTime, ProgramOptions, IOStreams, and other include-only libraries
  • Apache Log4cxx

:: DOWNLOAD

 reHCstar

:: MORE INFORMATION

Citation

Yuri Pirola, Gianluca Della Vedova, Stefano Biffani, Alessandra Stella, and Paola Bonizzoni.
A fast and practical approach to genotype phasing and imputation on a pedigree with erroneous and incomplete information.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2012).

CorQ 20130619 – Quality Score based Identification and Correction of Pyrosequencing Errors

CorQ 20130619

:: DESCRIPTION

CorQ (Correction through Quality) is a new algorithm which utilizes the inherent base quality in a sequence-specific context to correct for homopolymer and non-homopolymer insertion and deletion (indel) errors.

::DEVELOPER

Mullins Molecular Retrovirology Lab, University of Washington.

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Windows/Linux/MacOsX
  • Perl

:: DOWNLOAD

 CorQ

:: MORE INFORMATION

Citation

PLoS One. 2013 Sep 5;8(9):e73015. doi: 10.1371/journal.pone.0073015. eCollection 2013.
Quality score based identification and correction of pyrosequencing errors.
Iyer S1, Bouzek H, Deng W, Larsen B, Casey E, Mullins JI.

RACER 1.0.1 – Rapid and Accurate Correction of Errors in Reads

RACER 1.0.1

:: DESCRIPTION

RACER is a C++/OpenMP program that corrects sequencing errors in high-throughput DNA sequencing data, especially designed for the Illumina platform.

::DEVELOPER

LUCIAN ILIE

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux

:: DOWNLOAD

 RACER

:: MORE INFORMATION

Citation

Bioinformatics. 2013 Oct 1;29(19):2490-3. doi: 10.1093/bioinformatics/btt407. Epub 2013 Jul 12.
RACER: Rapid and accurate correction of errors in reads.
Ilie L1, Molnar M.

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