2020
DOI: 10.1371/journal.pone.0227177
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RNAmountAlign: Efficient software for local, global, semiglobal pairwise and multiple RNA sequence/structure alignment

Abstract: Alignment of structural RNAs is an important problem with a wide range of applications. Since function is often determined by molecular structure, RNA alignment programs should take into account both sequence and base-pairing information for structural homology identification. A number of successful alignment programs are heuristic versions of Sankoff's optimal algorithm. Most of them require O(n 4 ) run time. This paper describes C++ software, RNAmountAlign, for RNA sequence/structure alignment that runs in O… Show more

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Cited by 4 publications
(7 citation statements)
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References 53 publications
(111 reference statements)
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“…We generated networks comprised of vertices corresponding to individual glycine riboswitch aptamers with edges weighted based on the pairwise RNAmountAlign distance score [34]. RNAmountAlign was chosen as the primary metric for edge-weighting in our work due to its implemented use of primary sequence information and ensemble mountain distance of secondary structure to generate a pairwise score more quickly and efficiently than other software.…”
Section: Genomic Context Dictates Aptamer Clustering In Bacillaceae Amentioning
confidence: 99%
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“…We generated networks comprised of vertices corresponding to individual glycine riboswitch aptamers with edges weighted based on the pairwise RNAmountAlign distance score [34]. RNAmountAlign was chosen as the primary metric for edge-weighting in our work due to its implemented use of primary sequence information and ensemble mountain distance of secondary structure to generate a pairwise score more quickly and efficiently than other software.…”
Section: Genomic Context Dictates Aptamer Clustering In Bacillaceae Amentioning
confidence: 99%
“…Aptamer networks were generated to determine clustering based on a number of different pairwise metrics. These included partition function (RNApdist) [26,27], sequence and structural similarity (FoldAlign and Dynalign) [30][31][32][33], ensemble expected mountain height (RNAmountAlign) [34], and sequence similarity (Clustal Omega) [28]. Pairwise values were utilized to generate and visualize aptamer networks using the igraph and qgraph R-libraries [76,77].…”
Section: Graph Clustering and Network Generationmentioning
confidence: 99%
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“…In order to compute the MCC (Eq. 1), we follow the publications of Murlet [48] and RNAmountAlign [32]. For future reference and reproducibility we provide the script in our LaRA 2 repository.…”
Section: Benchmark On General Rna Familiesmentioning
confidence: 99%
“…For a complete overview of all tools related to sequence-structure alignment we refer to the review paper by Lalwani et al [31]. A recent paper in this field introduced a new tool RNAmountAlign [32] which uses mountain distance for pairwise structural alignments and runs in O(n 3 ) time for sequences of length n. The paper demonstrates besides RNAmountAlign also good performance for LocARNA [6] and LaRA [5]. LocARNA implements a variant of Sankoff 's algorithm and is based on computing pairwise local Fig.…”
mentioning
confidence: 99%