Lambda3: homology search for protein, nucleotide and bisulfite-converted sequences.


Journal

Bioinformatics (Oxford, England)
ISSN: 1367-4811
Titre abrégé: Bioinformatics
Pays: England
ID NLM: 9808944

Informations de publication

Date de publication:
14 Mar 2024
Historique:
received: 19 06 2023
revised: 22 12 2023
accepted: 13 03 2024
medline: 15 3 2024
pubmed: 15 3 2024
entrez: 14 3 2024
Statut: aheadofprint

Résumé

Local alignments of query sequences in large databases represent a core part of metagenomic studies and facilitate homology search. Following the development of NCBI Blast, many applications aimed to provide faster and equally sensitive local alignment frameworks. Most applications focus on protein alignments, while only few also facilitate DNA-based searches. None of the established programs allow searching DNA sequences from bisulfite sequencing experiments commonly used for DNA methylation profiling, for which specific alignment strategies need to be implemented. Here, we introduce Lambda3, a new version of the local alignment application Lambda. Lambda3 is the first solution that enables the search of protein, nucleotide as well as bisulfite-converted nucleotide query sequences. Its protein mode achieves comparable performance to that of the highly optimised protein alignment application Diamond, while the nucleotide mode consistently outperforms established local nucleotide aligners. Combined, Lambda3 presents a universal local alignment framework that enables fast and sensitive homology searches for a wide range of use cases. Lambda3 is free and open source software publicly available at https://github.com/seqan/lambda/. Supplementary data are provided with this article.

Identifiants

pubmed: 38485699
pii: 7629128
doi: 10.1093/bioinformatics/btae097
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© The Author(s) 2024. Published by Oxford University Press.

Auteurs

Hannes Hauswedell (H)

deCODE genetics/Amgen Inc, Reykjavik, Iceland.

Sara Hetzel (S)

Department of Genome Regulation, Max Planck Institute for Molecular Genetics, Berlin, Germany.

Simon G Gottlieb (SG)

Department of Mathematics and Computer Science, Freie Universität Berlin, Berlin, Germany.
Forschungszentrum Jülich GmbH, Institute for Bio- and Geosciences, Jülich, Germany.

Helene Kretzmer (H)

Department of Genome Regulation, Max Planck Institute for Molecular Genetics, Berlin, Germany.

Alexander Meissner (A)

Department of Genome Regulation, Max Planck Institute for Molecular Genetics, Berlin, Germany.
Department of Biology, Chemistry and Pharmacy, Freie Universität Berlin, Berlin, Germany.

Knut Reinert (K)

Department of Mathematics and Computer Science, Freie Universität Berlin, Berlin, Germany.
Efficient Algorithms for Omics Data group, Max Planck Institute for Molecular Genetics, Berlin, Germany.

Classifications MeSH