Core column prediction for protein multiple sequence alignments

Core column prediction for protein multiple sequence alignments

Abstract Background In a computed protein multiple sequence alignment, the coreness of a column is the fraction of its substitutions that are in so-called core columns of the gold-standard reference alignment of its proteins. In benchmark suites of protein reference alignments, the core columns of t...

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Bibliographic Details
Main Authors: Dan DeBlasio, John Kececioglu
Format: Article
Language:English
Published: BMC 2017-04-01
Series:Algorithms for Molecular Biology
Subjects:
Multiple sequence alignment
Core blocks
Alignment accuracy
Accuracy estimation
Parameter advising
Machine learning
Online Access:http://link.springer.com/article/10.1186/s13015-017-0102-3

Internet

http://link.springer.com/article/10.1186/s13015-017-0102-3

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