METIS: Multiple extraction techniques for informative sentences

A. L. Mitchell; A. Divoli; J. H. Kim; M. Hilario; I. Selimas; T. K. Attwood

doi:10.1093/bioinformatics/bti675

METIS: Multiple extraction techniques for informative sentences

A. L. Mitchell, A. Divoli, J. H. Kim, M. Hilario, I. Selimas, T. K. Attwood

Research output: Contribution to journal › Article › peer-review

Abstract

Summary: METIS is a web-based integrated annotation tool. From single query sequences, the PRECIS component allows users to generate structured protein family reports from sets of related Swiss-Prot entries. These reports may then be augmented with pertinent sentences extracted from online biomedical literature via support vector machine and rule-based sentence classification systems. © The Author 2005. Published by Oxford University Press. All rights reserved.

Original language	English
Pages (from-to)	4196-4197
Number of pages	1
Journal	Bioinformatics
Volume	21
Issue number	22
DOIs	https://doi.org/10.1093/bioinformatics/bti675
Publication status	Published - 15 Nov 2005

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title = "METIS: Multiple extraction techniques for informative sentences",

abstract = "Summary: METIS is a web-based integrated annotation tool. From single query sequences, the PRECIS component allows users to generate structured protein family reports from sets of related Swiss-Prot entries. These reports may then be augmented with pertinent sentences extracted from online biomedical literature via support vector machine and rule-based sentence classification systems. {\textcopyright} The Author 2005. Published by Oxford University Press. All rights reserved.",

author = "Mitchell, {A. L.} and A. Divoli and Kim, {J. H.} and M. Hilario and I. Selimas and Attwood, {T. K.}",

year = "2005",

month = nov,

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doi = "10.1093/bioinformatics/bti675",

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AU - Mitchell, A. L.

AU - Divoli, A.

AU - Kim, J. H.

AU - Hilario, M.

AU - Selimas, I.

AU - Attwood, T. K.

PY - 2005/11/15

Y1 - 2005/11/15

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AB - Summary: METIS is a web-based integrated annotation tool. From single query sequences, the PRECIS component allows users to generate structured protein family reports from sets of related Swiss-Prot entries. These reports may then be augmented with pertinent sentences extracted from online biomedical literature via support vector machine and rule-based sentence classification systems. © The Author 2005. Published by Oxford University Press. All rights reserved.

U2 - 10.1093/bioinformatics/bti675

DO - 10.1093/bioinformatics/bti675

M3 - Article

SN - 1460-2059

VL - 21

SP - 4196

EP - 4197

JO - Bioinformatics

JF - Bioinformatics

IS - 22

ER -

METIS: Multiple extraction techniques for informative sentences

Abstract

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