nala: text mining natural language mutation mentions | Zendy

Juan Miguel Cejuela | Zendy; Aleksandar Bojchevski | Zendy; Carsten Uhlig | Zendy; Rustem Bekmukhametov | Zendy; Sanjeev Kumar Karn | Zendy; Shpend Mahmuti | Zendy; Ashish Baghudana | Zendy; Ankit Kumar Dubey | Zendy; Venkata Satagopam | Zendy; Burkhard Rost | Zendy

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nala: text mining natural language mutation mentions

Author(s) -

Juan Miguel Cejuela,

Aleksandar Bojchevski,

Carsten Uhlig,

Rustem Bekmukhametov,

Sanjeev Kumar Karn,

Shpend Mahmuti,

Ashish Baghudana,

Ankit Kumar Dubey,

Venkata Satagopam,

Burkhard Rost

Publication year - 2017

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/btx083

Subject(s) - computer science , natural language processing , artificial intelligence , task (project management) , source code , word (group theory) , information retrieval , programming language , linguistics , philosophy , management , economics

The extraction of sequence variants from the literature remains an important task. Existing methods primarily target standard (ST) mutation mentions (e.g. 'E6V'), leaving relevant mentions natural language (NL) largely untapped (e.g. 'glutamic acid was substituted by valine at residue 6').

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