Matches in SemOpenAlex for { <https://semopenalex.org/work/W2044364290> ?p ?o ?g. }
- W2044364290 endingPage "EBO.S19199" @default.
- W2044364290 startingPage "EBO.S19199" @default.
- W2044364290 abstract "A comparison of 10 most popular Multiple Sequence Alignment (MSA) tools, namely, MUSCLE, MAFFT(L-INS-i), MAFFT (FFT-NS-2), T-Coffee, ProbCons, SATe, Clustal Omega, Kalign, Multalin, and Dialign-TX is presented. We also focused on the significance of some implementations embedded in algorithm of each tool. Based on 10 simulated trees of different number of taxa generated by R, 400 known alignments and sequence files were constructed using indel-Seq-Gen. A total of 4000 test alignments were generated to study the effect of sequence length, indel size, deletion rate, and insertion rate. Results showed that alignment quality was highly dependent on the number of deletions and insertions in the sequences and that the sequence length and indel size had a weaker effect. Overall, ProbCons was consistently on the top of list of the evaluated MSA tools. SATe, being little less accurate, was 529.10% faster than ProbCons and 236.72% faster than MAFFT(L-INS-i). Among other tools, Kalign and MUSCLE achieved the highest sum of pairs. We also considered BALiBASE benchmark datasets and the results relative to BAliBASE- and indel-Seq-Gen-generated alignments were consistent in the most cases." @default.
- W2044364290 created "2016-06-24" @default.
- W2044364290 creator A5001746199 @default.
- W2044364290 creator A5004024392 @default.
- W2044364290 creator A5014422708 @default.
- W2044364290 creator A5017832654 @default.
- W2044364290 creator A5024691217 @default.
- W2044364290 creator A5050911261 @default.
- W2044364290 creator A5057663036 @default.
- W2044364290 creator A5066381532 @default.
- W2044364290 creator A5078067517 @default.
- W2044364290 creator A5080064006 @default.
- W2044364290 creator A5086578586 @default.
- W2044364290 date "2014-01-01" @default.
- W2044364290 modified "2023-09-28" @default.
- W2044364290 title "Evaluating the Accuracy and Efficiency of Multiple Sequence Alignment Methods" @default.
- W2044364290 cites W1519266993 @default.
- W2044364290 cites W1525734744 @default.
- W2044364290 cites W1590240800 @default.
- W2044364290 cites W1615242748 @default.
- W2044364290 cites W1775447850 @default.
- W2044364290 cites W1843419150 @default.
- W2044364290 cites W1898572544 @default.
- W2044364290 cites W1988533731 @default.
- W2044364290 cites W1991319607 @default.
- W2044364290 cites W2007668764 @default.
- W2044364290 cites W2009596137 @default.
- W2044364290 cites W2017777683 @default.
- W2044364290 cites W2034767282 @default.
- W2044364290 cites W2065001361 @default.
- W2044364290 cites W2065461553 @default.
- W2044364290 cites W2092672051 @default.
- W2044364290 cites W2097386339 @default.
- W2044364290 cites W2101969356 @default.
- W2044364290 cites W2107566660 @default.
- W2044364290 cites W2118716355 @default.
- W2044364290 cites W2120958393 @default.
- W2044364290 cites W2127322768 @default.
- W2044364290 cites W2127688908 @default.
- W2044364290 cites W2127774996 @default.
- W2044364290 cites W2132926880 @default.
- W2044364290 cites W2136570298 @default.
- W2044364290 cites W2140872496 @default.
- W2044364290 cites W2141411672 @default.
- W2044364290 cites W2143292980 @default.
- W2044364290 cites W2143357251 @default.
- W2044364290 cites W2144105299 @default.
- W2044364290 cites W2144362290 @default.
- W2044364290 cites W2145191876 @default.
- W2044364290 cites W2147461064 @default.
- W2044364290 cites W2160378127 @default.
- W2044364290 cites W2168239566 @default.
- W2044364290 cites W2170831688 @default.
- W2044364290 cites W3103560422 @default.
- W2044364290 cites W4246176452 @default.
- W2044364290 doi "https://doi.org/10.4137/ebo.s19199" @default.
- W2044364290 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/4267518" @default.
- W2044364290 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/25574120" @default.
- W2044364290 hasPublicationYear "2014" @default.
- W2044364290 type Work @default.
- W2044364290 sameAs 2044364290 @default.
- W2044364290 citedByCount "33" @default.
- W2044364290 countsByYear W20443642902015 @default.
- W2044364290 countsByYear W20443642902016 @default.
- W2044364290 countsByYear W20443642902017 @default.
- W2044364290 countsByYear W20443642902018 @default.
- W2044364290 countsByYear W20443642902019 @default.
- W2044364290 countsByYear W20443642902020 @default.
- W2044364290 countsByYear W20443642902021 @default.
- W2044364290 countsByYear W20443642902022 @default.
- W2044364290 countsByYear W20443642902023 @default.
- W2044364290 crossrefType "journal-article" @default.
- W2044364290 hasAuthorship W2044364290A5001746199 @default.
- W2044364290 hasAuthorship W2044364290A5004024392 @default.
- W2044364290 hasAuthorship W2044364290A5014422708 @default.
- W2044364290 hasAuthorship W2044364290A5017832654 @default.
- W2044364290 hasAuthorship W2044364290A5024691217 @default.
- W2044364290 hasAuthorship W2044364290A5050911261 @default.
- W2044364290 hasAuthorship W2044364290A5057663036 @default.
- W2044364290 hasAuthorship W2044364290A5066381532 @default.
- W2044364290 hasAuthorship W2044364290A5078067517 @default.
- W2044364290 hasAuthorship W2044364290A5080064006 @default.
- W2044364290 hasAuthorship W2044364290A5086578586 @default.
- W2044364290 hasBestOaLocation W20443642901 @default.
- W2044364290 hasConcept C104317684 @default.
- W2044364290 hasConcept C11413529 @default.
- W2044364290 hasConcept C119054055 @default.
- W2044364290 hasConcept C124101348 @default.
- W2044364290 hasConcept C135763542 @default.
- W2044364290 hasConcept C153209595 @default.
- W2044364290 hasConcept C167625842 @default.
- W2044364290 hasConcept C185798385 @default.
- W2044364290 hasConcept C205649164 @default.
- W2044364290 hasConcept C2778112365 @default.
- W2044364290 hasConcept C41008148 @default.
- W2044364290 hasConcept C45484198 @default.
- W2044364290 hasConcept C54355233 @default.
- W2044364290 hasConcept C58640448 @default.