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Literature DB >> 11882534

Mining the bibliome: searching for a needle in a haystack? New computing tools are needed to effectively scan the growing amount of scientific literature for useful information.

Les Grivell.

Abstract

Mesh：

Year: 2002 PMID： 11882534 PMCID： PMC1084023 DOI： 10.1093/embo-reports/kvf059

Source DB: PubMed Journal: EMBO Rep ISSN： 1469-221X Impact factor: 8.807

× No keyword cloud information.

9 in total

1. A literature network of human genes for high-throughput analysis of gene expression.

Authors: T K Jenssen; A Laegreid; J Komorowski; E Hovig
Journal: Nat Genet Date: 2001-05 Impact factor: 38.330

2. Gene ontology: tool for the unification of biology. The Gene Ontology Consortium.

Authors: M Ashburner; C A Ball; J A Blake; D Botstein; H Butler; J M Cherry; A P Davis; K Dolinski; S S Dwight; J T Eppig; M A Harris; D P Hill; L Issel-Tarver; A Kasarskis; S Lewis; J C Matese; J E Richardson; M Ringwald; G M Rubin; G Sherlock
Journal: Nat Genet Date: 2000-05 Impact factor: 38.330

3. Automated extraction of information on protein-protein interactions from the biological literature.

Authors: T Ono; H Hishigaki; A Tanigami; T Takagi
Journal: Bioinformatics Date: 2001-02 Impact factor: 6.937

4. Detecting Gene Symbols and Names in Biological Texts: A First Step toward Pertinent Information Extraction.

Authors:
Journal: Genome Inform Ser Workshop Genome Inform Date: 1998

5. In silico veritas. Data-mining and automated discovery: the truth is in there.

Authors: J F Allen
Journal: EMBO Rep Date: 2001-07 Impact factor: 8.807

6. Creating the gene ontology resource: design and implementation.

Authors:
Journal: Genome Res Date: 2001-08 Impact factor: 9.043

7. Automatic analysis, theme generation, and summarization of machine-readable texts.

Authors: G Salton; J Allan; C Buckley; A Singhal
Journal: Science Date: 1994-06-03 Impact factor: 47.728

8. Global text matching for information retrieval.

Authors: G Salton; C Buckley
Journal: Science Date: 1991-08-30 Impact factor: 47.728

9. Facilitating networks of information.

Authors: E M van Mulligen; M Diwersy; M Schmidt; H Buurman; B Mons
Journal: Proc AMIA Symp Date: 2000

9 in total

17 in total

1. Search and retrieve. Large-scale data generation is becoming increasingly important in biological research. But how good are the tools to make sense of the data?

Authors: Alfonso Valencia
Journal: EMBO Rep Date: 2002-05 Impact factor: 8.807

2. Computational approaches to protein-protein interaction.

Authors: Giacomo Franzot; Oliviero Carugo
Journal: J Struct Funct Genomics Date: 2003

3. Dragon TF Association Miner: a system for exploring transcription factor associations through text-mining.

Authors: Hong Pan; Li Zuo; Vidhu Choudhary; Zhuo Zhang; Shoi Houi Leow; Fui Teen Chong; Yingliang Huang; Victor Wui Siong Ong; Bijayalaxmi Mohanty; Sin Lam Tan; S P T Krishnan; Vladimir B Bajic
Journal: Nucleic Acids Res Date: 2004-07-01 Impact factor: 16.971

4. Doublet method for very fast autocoding.

Authors: Jules J Berman
Journal: BMC Med Inform Decis Mak Date: 2004-09-15 Impact factor: 2.796

5. Seek and you shall find?

Authors: Les Grivell
Journal: EMBO Rep Date: 2006-01 Impact factor: 8.807

6. Dragon Plant Biology Explorer. A text-mining tool for integrating associations between genetic and biochemical entities with genome annotation and biochemical terms lists.

Authors: Vladimir B Bajic; Merlin Veronika; Pardha Sarathi Veladandi; Archana Meka; Mok-Wei Heng; Kanagasabai Rajaraman; Hong Pan; Sanjay Swarup
Journal: Plant Physiol Date: 2005-08 Impact factor: 8.340