Pregled bibliografske jedinice broj: 818493
Fast and sensitive mapping of nanopore sequencing reads with GraphMap
Fast and sensitive mapping of nanopore sequencing reads with GraphMap // Nature Communications, 7 (2016), 11307-1 doi:10.1038/ncomms11307 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 818493 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Fast and sensitive mapping of nanopore sequencing reads with GraphMap
Autori
Sović, Ivan ; Šikić, Mile ; Wilm Andreas ; Fenlon, Shannon Nicole ; Chen, Swaine
Izvornik
Nature Communications (2041-1723) 7
(2016);
11307-1
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
mapping ; alignment ; sequencing ; nanopore
Sažetak
Realizing the democratic promise of nanopore sequencing requires the development of new bioinformatics approaches to deal with its specific error characteristics. Here we present GraphMap, a mapping algorithm designed to analyse nanopore sequencing reads, which progressively refines candidate alignments to robustly handle potentially high-error rates and a fast graph traversal to align long reads with speed and high precision (>95%). Evaluation on MinION sequencing data sets against short- and long-read mappers indicates that GraphMap increases mapping sensitivity by 10–80% and maps >95% of bases. GraphMap alignments enabled single-nucleotide variant calling on the human genome with increased sensitivity (15%) over the next best mapper, precise detection of structural variants from length 100 bp to 4 kbp, and species and strain-specific identification of pathogens using MinION reads. GraphMap is available open source under the MIT license at https://github.com/isovic/graphmap.
Izvorni jezik
Engleski
Znanstvena područja
Biologija, Računarstvo
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb,
Institut "Ruđer Bošković", Zagreb
Citiraj ovu publikaciju:
Časopis indeksira:
- Current Contents Connect (CCC)
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus
- MEDLINE
- Nature Index