freeIbis – An Efficient Basecaller for Illumina Sequencers with Calibrated Quality Scores

freeIbis

:: DESCRIPTION

freeIbis offers significant improvements in sequence accuracy owing to the use of a novel multiclass support vector machine (SVM) algorithm. Sequence quality scores are now calibrated based on empirically observed scores, thus providing a high correlation to their respective error rates. These improvements result in downstream advantages including improved genotyping accuracy.

::DEVELOPER

Department of Genetics / Bioinformatics Group, Max Planck Institute for Evolutionary Anthropology, Leipzig

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Windows / MacOsX / Linux
  • Python
  • C++ compiler

:: DOWNLOAD

  freeIbis

:: MORE INFORMATION

Citation

Renaud G, Kircher M, Stenzel U and Kelso J.
freeIbis: an efficient basecaller with calibrated quality scores for Illumina sequencers.
Bioinformatics. 2013;doi:10.1093/bioinformatics/btt117

BayesCall 0.3 – Basecaller for the Illumina Platform

BayesCall 0.3

:: DESCRIPTION

BayesCall is a model-based basecalling algorithm for high-throughput short-read sequencing

::DEVELOPER

Yun S. Song

:: SCREENSHOTS

N/A

:: REQUIREMENTS

:: DOWNLOAD

 BayesCall

:: MORE INFORMATION

Citation

Kao, W.C., Stevens, K. and Song, Y.S.
BayesCall: A model-based basecalling algorithm for high-throughput short-read sequencing.
Genome Research, 19 (2009) 1884-1895.”