title: Evaluation of methods for de novo genome assembly from high-throughput sequencing reads reveals dependencies that affect the quality of the results.
abstract: Recent developments in high-throughput sequencing technology have made low-cost sequencing an attractive approach for many genome analysis tasks. Increasing read lengths, improving quality and the production of increasingly larger numbers of usable sequences per instrument-run continue to make whole-genome assembly an appealing target application. In this paper we evaluate the feasibility of de novo genome assembly from short reads (≤100 nucleotides) through a detailed study involving genomic sequences of various lengths and origin, in conjunction with several of the currently popular assembly programs. Our extensive analysis demonstrates that, in addition to sequencing coverage, attributes such as the architecture of the target genome, the identity of the used assembly program, the average read length and the observed sequencing error rates are powerful variables that affect the best achievable assembly of the target sequence in terms of size and correctness.
authors.affiliation: IBM Thomas J. Watson Research Center, Yorktown Heights, New York, United States of America. nhaimin@us.ibm.com
authors.forename: Niina
authors.initials: N
authors.lastname: Haiminen
authors.forename: David N
authors.initials: DN
authors.lastname: Kuhn
authors.forename: Laxmi
authors.initials: L
authors.lastname: Parida
authors.forename: Isidore
authors.initials: I
authors.lastname: Rigoutsos
mesh_terms: D000465:Algorithms; D016678:Genome / Q000235:genetics*; D059014:High-Throughput Nucleotide Sequencing / Q000379:methods*; D006801:Humans