Masking repeats while clustering ESTs.

Abstract:

:A problem in EST clustering is the presence of repeat sequences. To avoid false matches, repeats have to be masked. This can be a time-consuming process, and it depends on available repeat libraries. We present a fast and effective method that aims to eliminate the problems repeats cause in the process of clustering. Unlike traditional methods, repeats are inferred directly from the EST data, we do not rely on any external library of known repeats. This makes the method especially suitable for analysing the ESTs from organisms without good repeat libraries. We demonstrate that the result is very similar to performing standard repeat masking before clustering.

journal_name

Nucleic Acids Res

journal_title

Nucleic acids research

authors

Schneeberger K,Malde K,Coward E,Jonassen I

doi

10.1093/nar/gki511

keywords:

subject

Has Abstract

pub_date

2005-04-14 00:00:00

pages

2176-80

issue

7

eissn

0305-1048

issn

1362-4962

pii

33/7/2176

journal_volume

33

pub_type

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