AQUA: automated quality improvement for multiple sequence alignments | Zendy

Jean Muller | Zendy; Christopher J. Creevey | Zendy; Julie Thompson | Zendy; Detlev Arendt | Zendy; Peer Bork | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

AQUA: automated quality improvement for multiple sequence alignments

Author(s) -

Jean Muller,

Christopher J. Creevey,

Julie Thompson,

Detlev Arendt,

Peer Bork

Publication year - 2009

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btp651

Subject(s) - computer science , source code , mit license , sequence (biology) , multiple sequence alignment , code (set theory) , sequence alignment , protocol (science) , license , simple (philosophy) , data mining , software , quality (philosophy) , source lines of code , programming language , software engineering , operating system , peptide sequence , set (abstract data type) , biology , medicine , biochemistry , genetics , alternative medicine , philosophy , pathology , epistemology , gene

Multiple sequence alignment (MSA) is a central tool in most modern biology studies. However, despite generations of valuable tools, human experts are still able to improve automatically generated MSAs. In an effort to automatically identify the most reliable MSA for a given protein family, we propose a very simple protocol, named AQUA for 'Automated quality improvement for multiple sequence alignments'. Our current implementation relies on two alignment programs (MUSCLE and MAFFT), one refinement program (RASCAL) and one assessment program (NORMD), but other programs could be incorporated at any of the three steps.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research