TY - CHAP
T1 - Revisiting Evaluation of Multiple Sequence Alignment Methods
AU - Warnow, Tandy
N1 - Publisher Copyright:
© 2021, Springer Science+Business Media, LLC, part of Springer Nature.
PY - 2021
Y1 - 2021
N2 - Multiple sequence alignment is a core first step in many bioinformatics analyses, and errors in these alignments can have negative consequences for scientific studies. In this article, we review some of the recent literature evaluating multiple sequence alignment methods and identify specific challenges that arise when performing these evaluations. In particular, we discuss the different trends observed in simulation studies and when using biological benchmarks. Overall, we find that multiple sequence alignment, far from being a “solved problem,” would benefit from new attention.
AB - Multiple sequence alignment is a core first step in many bioinformatics analyses, and errors in these alignments can have negative consequences for scientific studies. In this article, we review some of the recent literature evaluating multiple sequence alignment methods and identify specific challenges that arise when performing these evaluations. In particular, we discuss the different trends observed in simulation studies and when using biological benchmarks. Overall, we find that multiple sequence alignment, far from being a “solved problem,” would benefit from new attention.
KW - Model misspecification
KW - Multiple sequence alignment
KW - Phylogeny estimation
KW - Statistical alignment
KW - Structural alignment
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U2 - 10.1007/978-1-0716-1036-7_17
DO - 10.1007/978-1-0716-1036-7_17
M3 - Chapter
C2 - 33289899
AN - SCOPUS:85097580504
T3 - Methods in Molecular Biology
SP - 299
EP - 317
BT - Methods in Molecular Biology
PB - Humana Press Inc.
ER -