EconPapers    
Economics at your fingertips  
 

Deciphering highly similar multigene family transcripts from Iso-Seq data with IsoCon

Kristoffer Sahlin, Marta Tomaszkiewicz, Kateryna D. Makova () and Paul Medvedev ()
Additional contact information
Kristoffer Sahlin: Pennsylvania State University
Marta Tomaszkiewicz: Pennsylvania State University
Kateryna D. Makova: Pennsylvania State University
Paul Medvedev: Pennsylvania State University

Nature Communications, 2018, vol. 9, issue 1, 1-12

Abstract: Abstract A significant portion of genes in vertebrate genomes belongs to multigene families, with each family containing several gene copies whose presence/absence, as well as isoform structure, can be highly variable across individuals. Existing de novo techniques for assaying the sequences of such highly-similar gene families fall short of reconstructing end-to-end transcripts with nucleotide-level precision or assigning alternatively spliced transcripts to their respective gene copies. We present IsoCon, a high-precision method using long PacBio Iso-Seq reads to tackle this challenge. We apply IsoCon to nine Y chromosome ampliconic gene families and show that it outperforms existing methods on both experimental and simulated data. IsoCon has allowed us to detect an unprecedented number of novel isoforms and has opened the door for unraveling the structure of many multigene families and gaining a deeper understanding of genome evolution and human diseases.

Date: 2018
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.nature.com/articles/s41467-018-06910-x Abstract (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:9:y:2018:i:1:d:10.1038_s41467-018-06910-x

Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/

DOI: 10.1038/s41467-018-06910-x

Access Statistics for this article

Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie

More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-19
Handle: RePEc:nat:natcom:v:9:y:2018:i:1:d:10.1038_s41467-018-06910-x