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Bioinformation. 2009; 3(7): 287–288.
Published online Feb 26, 2009.
PMCID: PMC2652563
Finding Alu in primate genomes with AF‐1
Ravi Shankar,1* Bhavesh Kataria,1 and Mitali Mukerji2
1Department of Bioinformatics & Structural Biology, School of Life Sciences & Biotechnology, Indian Institute of Advanced Research, Gandhinagar, Gujarat (India) 382007
2Functional Genomics Unit, 604‐A, IGIB, CSIR, Mall Road, Delhi (India) 110007
*Ravi Shankar: ravish/at/iiar.res.in
Received December 26, 2008; Accepted January 27, 2009.
Abstract
Repetitive sequences occupy more than 40% of the human genome which is much larger compared to the 2% occupied by the coding DNA. Amongst these Alu elements are the second largest class of repeats, occupying nearly 10% of the whole genome. Alus have been implicated in many genomic processes, sometimes giving rise to aberrations while many times playing as silent player in genomic and regulatory evolution. Here we present a web server, AF1, exclusively developed for finding Alu like elements. Besides alignment based methodology, this server utilizes probabilistic scanning to find more diverged elements and employs a more precise way of element classification based on unequal weighting of sequence through sequence encoding.
Availability
AF1 is freely available at http://software.iiar.res.in/af1/. The standalone is also available for download.
Keywords: Alu, algorithm, non‐coding, primate, repetitive element
Articles from Bioinformation are provided here courtesy of
Biomedical Informatics Publishing Group