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Bioinformatics Advance Access published March 22,
Bioinformatics Advance Access published March 22, 2007
Suresh B. Mudunuri and Hampapathalu A. Nagarajaram
2
(Wexler et al., 2004) and STRING (Parisi et al., 2003) have been
designed to find tandem repeats of large size motifs as large as
2000 bases and hence large numbers of microsatellites go uniden-
tified by these methods. Many of these programs do not generate
alignments between imperfect microsatellites and their expected
perfect counterparts and therefore require additional post-
processing in order to study the mutational events in microsatel-
lites. In view of these lacunae and to aid our systematic analysis of
imperfect microsatellites, we developed a program called IMEx
(Imperfect Microsatellite Extractor) with a number of discovery-
friendly features. IMEx is fast, highly sensitive and is also flexible
where user can set the limits for imperfection (thus can be used for
both perfect and imperfect microsatellites). The output comprises
of a list of microsatellites each of which with information such as
its total imperfection content, point mutations, sequence alignment
with its perfect counterpart, whether the locus lies in the coding or
non-coding region along with corresponding known details. The
IMEx program is available in two modes: as a stand-alone program
and also in the form of a web-server. The stand-alone as well as
web-server are available from the web-site
54/IMEX/ or .in/imex.
2 ALGORITHM
We define a sequence at a given locus as a microsatellite if that
sequence can be expressed as a tandem repeat of a motif of 1-6 bp
size. The repeating motif at every iteration can harbor up to ‘k’
number of point mutations (substitutions or indels of nucleotides).
For example, the sequence ATATGTAGAT is a tandem repeat of
the motif “AT” with two substitutions A G and T G at third
and fourth iterations respectively. IMEx algorithm uses this defini-
tion and employs simple string searching algorithm with ‘sliding
window’ appro
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