BioIE: extracting informative sentences from the biomedical literature

被引:30
作者
Divoli, A [1 ]
Attwood, TK
机构
[1] Univ Manchester, Fac Life Sci, Manchester M13 9PT, Lancs, England
[2] Univ Manchester, Sch Comp Sci, Manchester M13 9PT, Lancs, England
基金
英国生物技术与生命科学研究理事会;
关键词
D O I
10.1093/bioinformatics/bti296
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
BioIE is a rule-based system that extracts informative sentences relating to protein families, their structures, functions and diseases from the biomedical literaturE. Based on manual definition of templates and rules, it aims at precise sentence extraction rather than wide recall. After uploading source text or retrieving abstracts from MEDLINE, users can extract sentences based on predefined or user-defined template categories. BioIE also provides a brief insight into the syntactic and semantic context of the source-text by looking at word, N-gram and MeSH-term distributions. Important Applications of BioIE are in, for example, annotation of microarray data and of protein databases.
引用
收藏
页码:2138 / 2139
页数:2
相关论文
共 10 条
  • [1] PRINTS and its automatic supplement, prePRINTS
    Attwood, TK
    Bradley, P
    Flower, DR
    Gaulton, A
    Maudling, N
    Mitchell, AL
    Moulton, G
    Nordle, A
    Paine, K
    Taylor, P
    Uddin, A
    Zygouri, C
    [J]. NUCLEIC ACIDS RESEARCH, 2003, 31 (01) : 400 - 402
  • [2] Friedman C, 2001, Bioinformatics, V17 Suppl 1, pS74
  • [3] Rutabaga by any other name: extracting biological names
    Hirschman, L
    Morgan, AA
    Yeh, AS
    [J]. JOURNAL OF BIOMEDICAL INFORMATICS, 2002, 35 (04) : 247 - 259
  • [4] A gene network for navigating the literature
    Hoffmann, R
    Valencia, A
    [J]. NATURE GENETICS, 2004, 36 (07) : 664 - 664
  • [5] The InterPro Database, 2003 brings increased coverage and new features
    Mulder, NJ
    Apweiler, R
    Attwood, TK
    Bairoch, A
    Barrell, D
    Bateman, A
    Binns, D
    Biswas, M
    Bradley, P
    Bork, P
    Bucher, P
    Copley, RR
    Courcelle, E
    Das, U
    Durbin, R
    Falquet, L
    Fleischmann, W
    Griffiths-Jones, S
    Haft, D
    Harte, N
    Hulo, N
    Kahn, D
    Kanapin, A
    Krestyaninova, M
    Lopez, R
    Letunic, I
    Lonsdale, D
    Silventoinen, V
    Orchard, SE
    Pagni, M
    Peyruc, D
    Ponting, CP
    Selengut, JD
    Servant, F
    Sigrist, CJA
    Vaughan, R
    Zdobnov, EM
    [J]. NUCLEIC ACIDS RESEARCH, 2003, 31 (01) : 315 - 318
  • [6] Inferring higher functional information for RIKEN mouse full-length cDNA clones with FACTS
    Nagashima, T
    Silva, DG
    Petrovsky, N
    Socha, LA
    Suzuki, H
    Saito, R
    Kasukawa, T
    Kurochkin, IV
    Konagaya, A
    Schönbach, C
    [J]. GENOME RESEARCH, 2003, 13 (6B) : 1520 - 1533
  • [7] Rindflesch T C, 2000, Pac Symp Biocomput, P517
  • [8] MedMiner: An Internet text-mining tool for biomedical information, with application to gene expression profiling
    Tanabe, L
    Scherf, U
    Smith, LH
    Lee, JK
    Hunter, L
    Weinstein, JN
    [J]. BIOTECHNIQUES, 1999, 27 (06) : 1210 - +
  • [9] Wong L, 2001, Pac Symp Biocomput, P520
  • [10] Automatically identifying gene/protein terms in MEDLINE abstracts
    Yu, H
    Hatzivassiloglou, V
    Rzhetsky, A
    Wilbur, WJ
    [J]. JOURNAL OF BIOMEDICAL INFORMATICS, 2002, 35 (5-6) : 322 - 330