MUMdex: MUM-based structural variation detection

Andrews, Peter A., Iossifov, Ivan, Kendall, Jude, Marks, Steven, Muthuswamy, Lakshmi, Wang, Zihua, Levy, Dan, Wigler, Michael (September 2016) MUMdex: MUM-based structural variation detection. bioRxiv. 078261.

URL: http://biorxiv.org/content/early/2016/09/30/078261...
DOI: 10.1101/078261

Abstract

Motivation: Standard genome sequence alignment tools primarily designed to find one alignment per read have difficulty detecting inversion, translocation and large insertion and deletion (indel) events. Moreover, dedicated split read alignment methods that depend only upon the reference genome may misidentify or find too many potential split read alignments because of reference genome anomalies. Methods: We introduce MUMdex, a Maximal Unique Match (MUM)-based genomic analysis software package consisting of a sequence aligner to the reference genome, a storage-indexing format and analysis software. Discordant reference alignments of MUMs are especially suitable for identifying inversion, translocation and large indel differences in unique regions. Extracted population databases are used as filters for flaws in the reference genome. We describe the concepts underlying MUM-based analysis, the software implementation and its usage. Results: We demonstrate via simulation that the MUMdex aligner and alignment format are able to correctly detect and record genomic events. We characterize alignment performance and output file sizes for human whole genome data and compare to Bowtie 2 and the BAM format. Preliminary results demonstrate the practicality of the analysis approach by detecting de novo mutation candidates in human whole genome DNA sequence data from 510 families. We provide a population database of events from these families for use by others.

Item Type: Paper
Subjects: bioinformatics > genomics and proteomics > computers > computer software
bioinformatics > genomics and proteomics > genetics & nucleic acid processing > genomes > genome annotation
bioinformatics > genomics and proteomics > genetics & nucleic acid processing > DNA, RNA structure, function, modification > insertion/deletion
CSHL Authors:
Communities: CSHL labs > Iossifov lab
CSHL labs > Levy lab
CSHL labs > Wigler lab
CSHL Cancer Center Program > Cancer Genetics and Genomics Program
Depositing User: Matthew Dunn
Date: 30 September 2016
Date Deposited: 04 Jan 2019 14:31
Last Modified: 05 Nov 2020 21:40
URI: https://repository.cshl.edu/id/eprint/37526

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