2015
DOI: 10.1093/bioinformatics/btv494
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msa: an R package for multiple sequence alignment

Abstract: msa is available via the Bioconductor project: http://bioconductor.org/packages/release/bioc/html/msa.html. Further information and the R code of the example presented in this paper are available at http://www.bioinf.jku.at/software/msa/.

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Cited by 478 publications
(347 citation statements)
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“…the LCA computed with BASTA on DIAMOND results. The multiple sequence alignments were created and visualized with either the R package msa 43 or the program SeaView 44 .…”
Section: Methodsmentioning
confidence: 99%
“…the LCA computed with BASTA on DIAMOND results. The multiple sequence alignments were created and visualized with either the R package msa 43 or the program SeaView 44 .…”
Section: Methodsmentioning
confidence: 99%
“…Using the list of retained MOTUs, the original sequence file, and the information of which sequence belongs to each MOTU (contained in the output of the clustering program used to generate MOTUs), we obtained separate MOTU files containing, for each MOTU, all sequences included with their abundances in the different samples. We then aligned sequences within each MOTU with the msa R package (Bodenhofer et al 2015), and misaligned sequences, likely due to slippage of degenerate primers (Elbrecht et al 2018b), were detected and eliminated.…”
Section: Data Setmentioning
confidence: 99%
“…We performed batch blastp searches of PfLCN (PF3D7_0925900) against the nr and env_nr database (Agarwala et al, 2018) using Geneious 10.2.3 (https://www.geneious.com) using an E-value of 10e-0 (BLOSUM62 substitution matrix) to identify close homologs in related apicomplexan species. A multiple sequence alignment of putative lipocalins identified in Plasmodium species was performed using MUSCLE implemented in the R package msa v1.16.0 (Bodenhofer et al, 2015).…”
Section: Identification and Evolutionary Analysis Of Lipocalin Superfmentioning
confidence: 99%