SAGE2: parallel human genome assembly Journal Articles

abstract

• Abstract Summary De novo genome assembly of next-generation sequencing data is a fundamental problem in bioinformatics. There are many programs that assemble small genomes, but very few can assemble whole human genomes. We present a new algorithm for parallel overlap graph construction, which is capable of assembling human genomes and improves upon the current state-of-the-art in genome assembly. Availability and implementation SAGE2 is written in C ++ and OpenMP and is freely available (under the GPL 3.0 license) at github.com/lucian-ilie/SAGE2. Supplementary information Supplementary data are available at Bioinformatics online.

authors

• Molnar, Michael
• Haghshenas, Ehsan
• Ilie, Lucian

status

• published 

publication date

• February 15, 2018

has subject area

• 01 Mathematical Sciences (FoR)
• 06 Biological Sciences (FoR)
• 08 Information and Computing Sciences (FoR)
• Algorithms (MeSH)
• Animals (MeSH)
• Bioinformatics (Science Metrix)
• Genome, Human (MeSH)
• High-Throughput Nucleotide Sequencing (MeSH)
• Humans (MeSH)
• Sequence Analysis, DNA (MeSH)
• Software (MeSH)

published in

• Bioinformatics  Journal

keywords

• Algorithms
• Animals
• Genome, Human
• High-Throughput Nucleotide Sequencing
• Humans
• Sequence Analysis, DNA
• Software

Digital Object Identifier (DOI)

• 10.1093/bioinformatics/btx648

PubMed ID

• 29045591

start page

• 678

end page

• 680

volume

• 34

issue

• 4