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Bioinformatics. 2010 Jan 1;26(1):38-45. doi: 10.1093/bioinformatics/btp614. Epub 2009 Oct 27.

The GNUMAP algorithm: unbiased probabilistic mapping of oligonucleotides from next-generation sequencing.

Author information

  • 1Department of Computer Science, Department of Statistics, Brigham Young University, Provo, UT 84602, USA. nathanlclement@gmail.com

Abstract

MOTIVATION:

The advent of next-generation sequencing technologies has increased the accuracy and quantity of sequence data, opening the door to greater opportunities in genomic research.

RESULTS:

In this article, we present GNUMAP (Genomic Next-generation Universal MAPper), a program capable of overcoming two major obstacles in the mapping of reads from next-generation sequencing runs. First, we have created an algorithm that probabilistically maps reads to repeat regions in the genome on a quantitative basis. Second, we have developed a probabilistic Needleman-Wunsch algorithm which utilizes _prb.txt and _int.txt files produced in the Solexa/Illumina pipeline to improve the mapping accuracy for lower quality reads and increase the amount of usable data produced in a given experiment.

AVAILABILITY:

The source code for the software can be downloaded from http://dna.cs.byu.edu/gnumap.

PMID:
19861355
[PubMed - indexed for MEDLINE]
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