SV-M 0.1 – Structural Variant Machine

SV-M 0.1

:: DESCRIPTION

SV-M is a machine learning based method which is able to discover and distinguish true from false indel candidates in order to reduce the false positive rate.

::DEVELOPER

Machine Learning and Computational Biology Research Group

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux
  • C Compiler

:: DOWNLOAD

 SV-M

:: MORE INFORMATION

Citation

Dominik Grimm, Jörg Hagmann, Daniel Koenig, Detlef Weigel and Karsten Borgwardt:
Accurate indel prediction using paired-end short reads,
BMC Genomics 2013, 14:132 (27 February 2013)

AYB 2.11 – Advanced Base Calling for Next Generation Sequencing Machines

AYB 2.11

:: DESCRIPTION

AYB (All your base) is a base caller for the Illumina Genome Analyzer, using an explicit statistical model of how errors occur during sequencing to produce more accurate reads from the raw intensity data.

::DEVELOPER

Goldman Group

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux

:: DOWNLOAD

 AYB

:: MORE INFORMATION

Citation:

Genome Biol. 2012 Feb 29;13(2):R13. [Epub ahead of print]
All your base: a fast and accurate probabilistic approach to base calling.
Massingham T, Goldman N.