z-logo
open-access-imgOpen Access
Reprever: resolving low-copy duplicated sequences using template driven assembly
Author(s) -
Sangwoo Kim,
Paul Medvedev,
Tara Paton,
Vineet Bafna
Publication year - 2013
Publication title -
nucleic acids research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 9.008
H-Index - 537
eISSN - 1362-4954
pISSN - 0305-1048
DOI - 10.1093/nar/gkt339
Subject(s) - biology , breakpoint , genome , genetics , structural variation , sequence (biology) , gene duplication , computational biology , segmental duplication , fosmid , whole genome sequencing , dna sequencing , sequence assembly , genomics , gene , chromosome , gene family , gene expression , transcriptome
Genomic sequence duplication is an important mechanism for genome evolution, often resulting in large sequence variations with implications for disease progression. Although paired-end sequencing technologies are commonly used for structural variation discovery, the discovery of novel duplicated sequences remains an unmet challenge. We analyze duplicons starting from identified high-copy number variants. Given paired-end mapped reads, and a candidate high-copy region, our tool, Reprever, identifies (a) the insertion breakpoints where the extra duplicons inserted into the donor genome and (b) the actual sequence of the duplicon. Reprever resolves ambiguous mapping signatures from existing homologs, repetitive elements and sequencing errors to identify breakpoint. At each breakpoint, Reprever reconstructs the inserted sequence using profile hidden Markov model (PHMM)-based guided assembly. In a test on 1000 artificial genomes with simulated duplication, Reprever could identify novel duplicates up to 97% of genomes within 3 bp positional and 1% sequence errors. Validation on 680 fosmid sequences identified and reconstructed eight duplicated sequences with high accuracy. We applied Reprever to reanalyzing a re-sequenced data set from the African individual NA18507 to identify >800 novel duplicates, including insertions in genes and insertions with additional variation. polymerase chain reaction followed by capillary sequencing validated both the insertion locations of the strongest predictions and their predicted sequence.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom