Optimal reference sequence selection for genome assembly using minimum description length principle Sequence and Genome Analysis

5Citations
Citations of this article
9Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Reference assisted assembly requires the use of a reference sequence, as a model, to assist in the assembly of the novel genome. The standard method for identifying the best reference sequence for the assembly of a novel genome aims at counting the number of reads that align to the reference sequence, and then choosing the reference sequence which has the highest number of reads aligning to it. This article explores the use of minimum description length (MDL) principle and its two variants, the two-part MDL and Sophisticated MDL, in identifying the optimal reference sequence for genome assembly. The article compares the MDL based proposed scheme with the standard method coming to the conclusion that "counting the number of reads of the novel genome present in the reference sequence" is not a sufficient condition. Therefore, the proposed MDL scheme includes within itself the standard method of "counting the number of reads that align to the reference sequence" and also moves forward towards looking at the model, the reference sequence, as well, in identifying the optimal reference sequence. The proposed MDL based scheme not only becomes the sufficient criterion for identifying the optimal reference sequence for genome assembly but also improves the reference sequence so that it becomes more suitable for the assembly of the novel genome. © 2012 Wajid et al.; licensee Springer.

Cite

CITATION STYLE

APA

Wajid, B., Serpedin, E., Nounou, M., & Nounou, H. (2012). Optimal reference sequence selection for genome assembly using minimum description length principle Sequence and Genome Analysis. Eurasip Journal on Bioinformatics and Systems Biology, 2012(1). https://doi.org/10.1186/1687-4153-2012-18

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free