LongISLND: in silico sequencing of lengthy and noisy datatypes | Zendy

Bayo Lau | Zendy; Marghoob Mohiyuddin | Zendy; John C. Mu | Zendy; Li Tai Fang | Zendy; Narges Bani Asadi | Zendy; Carolina Dallett | Zendy; Hugo Y. K. Lam | Zendy

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LongISLND: in silico sequencing of lengthy and noisy datatypes

Author(s) -

Bayo Lau,

Marghoob Mohiyuddin,

John C. Mu,

Li Tai Fang,

Narges Bani Asadi,

Carolina Dallett,

Hugo Y. K. Lam

Publication year - 2016

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btw602

Subject(s) - computer science , emulation , software , java , dna sequencing , programming language , software engineering , data mining , biology , dna , economics , genetics , economic growth

LongISLND is a software package designed to simulate sequencing data according to the characteristics of third generation, single-molecule sequencing technologies. The general software architecture is easily extendable, as demonstrated by the emulation of Pacific Biosciences (PacBio) multi-pass sequencing with P5 and P6 chemistries, producing data in FASTQ, H5, and the latest PacBio BAM format. We demonstrate its utility by downstream processing with consensus building and variant calling.

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