lra: A long read aligner for sequences and contigs

It is computationally challenging to detect variation by aligning single-molecule sequencing (SMS) reads, or contigs from SMS assemblies. One approach to efficiently align SMS reads is sparse dynamic programming (SDP), where optimal chains of exact matches are found between the sequence and the geno...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	PLoS computational biology Jg. 17; H. 6; S. e1009078
Hauptverfasser:	Ren, Jingwen, Chaisson, Mark J. P.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States Public Library of Science 01.06.2021 Public Library of Science (PLoS)
Schlagworte:	Accuracy Algorithms Assembly Biological variation Biology and Life Sciences Chain dynamics Cluster Analysis Computational Biology Computer Simulation Contig Mapping - statistics & numerical data Databases, Nucleic Acid - statistics & numerical data Datasets Dynamic programming Fines & penalties Genetic Variation Genome, Human Genomes High-Throughput Nucleotide Sequencing Humans Linear functions Nucleotide sequence Physical Sciences Programming, Linear Research and Analysis Methods Sequence Alignment - statistics & numerical data Sequence Analysis, DNA Software Variation United States
ISSN:	1553-7358, 1553-734X, 1553-7358
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!