Integrated Analysis of Whole-Genome Paired-End and Mate-Pair Sequencing Data for Identifying Genomic Structural Variations in Multiple Myeloma

We present a pipeline to perform integrative analysis of mate-pair (MP) and paired-end (PE) genomic DNA sequencing data. Our pipeline detects structural variations (SVs) by taking aligned sequencing read pairs as input and classifying these reads into properly paired and discordantly paired categori...

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Bibliographic Details

Published in:	Cancer Informatics
Main Authors:	Rendong Yang, Li Chen, Scott Newman, Khanjan Gandhi, Gregory Doho, Carlos S. Moreno, Paula M. Vertino, Leon Bernal-Mizarchi, Sagar Lonial, Lawrence H. Boise, Michael Rossi, Jeanne Kowalski, Zhaohui S. Qin
Format:	Article
Language:	English
Published:	SAGE Publishing 2014-01-01
Online Access:	https://doi.org/10.4137/CIN.S13783