Comprehensive identification of transposable element insertions using multiple sequencing technologies

Chong Chu; Rebeca Borges-Monroy; Vinayak V. Viswanadham; Soohyun Lee; Heng Li; Eunjung Alice Lee; Peter J. Park

doi:10.1038/s41467-021-24041-8

Nature Communications (Jun 2021)

Comprehensive identification of transposable element insertions using multiple sequencing technologies

Chong Chu,
Rebeca Borges-Monroy,
Vinayak V. Viswanadham,
Soohyun Lee,
Heng Li,
Eunjung Alice Lee,
Peter J. Park

Affiliations

Chong Chu: Department of Biomedical Informatics, Harvard Medical School
Rebeca Borges-Monroy: Division of Genetics and Genomics, Boston Children’s Hospital and Harvard Medical School
Vinayak V. Viswanadham: Department of Biomedical Informatics, Harvard Medical School
Soohyun Lee: Department of Biomedical Informatics, Harvard Medical School
Heng Li: Department of Biomedical Informatics, Harvard Medical School
Eunjung Alice Lee: Division of Genetics and Genomics, Boston Children’s Hospital and Harvard Medical School
Peter J. Park: Department of Biomedical Informatics, Harvard Medical School

DOI: https://doi.org/10.1038/s41467-021-24041-8
Journal volume & issue: Vol. 12, no. 1
pp. 1 – 12

Abstract

Read online

Identification of transposable element (TE) insertions from whole genome sequencing data remains challenging. Here the authors developed a comprehensive TE insertion detection algorithm xTea that can be applied to both short-read and long-read sequencing data.

Published in Nature Communications

ISSN: 2041-1723 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/ncomms/

About the journal