MilP: The Monomer Identification and Isolation Program
Author(s) -
Christopher Bun,
William Ziccardi,
Jeffrey L. Doering,
Catherine Putonti
Publication year - 2012
Publication title -
evolutionary bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.502
H-Index - 32
ISSN - 1176-9343
DOI - 10.4137/ebo.s9248
Subject(s) - computational biology , identification (biology) , computer science , selection (genetic algorithm) , isolation (microbiology) , sequence (biology) , set (abstract data type) , phylogenetic tree , sequence analysis , sequence alignment , dna sequencing , biology , genetics , bioinformatics , artificial intelligence , dna , gene , peptide sequence , programming language , botany
Repetitive elements within genomic DNA are both functionally and evolutionarily informative. Discovering these sequences ab initio is computationally challenging, compounded by the fact that selection on these repeats is often relaxed; thus sequence identity between repetitive elements can vary significantly. Here we present a new application, the Monomer Identification and Isolation Program (MilP), which provides functionality to both search for a particular repeat as well as discover repetitive elements within a larger genomic sequence. To compare MilP's performance with other repeat detection tools, analysis was conducted for synthetic sequences as well as several α21-II clones and HC21 BAC sequences. The primary benefit of MilP is the fact that it is a single tool capable of searching for both known monomelic sequences as well as discovering the occurrence of repeats ab initio, per the user's required sensitivity of the search. Furthermore, the report functionality helps easily facilitate subsequent phylogenetic analysis.
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