eGIFT: Mining Gene Information from the Literature

[1] McEntyre J(2001)PubMed: bridging the information gap Canadian Medical Association Journal 164 1317-1319

[2] Lipman D(1998)Automatic extraction of keywords from scientific text: application to the knowledge domain of protein families Bioinformatics 14 600-607

[3] Andrade MA(2004)Text mining functional keywords associated with genes MedInfo 11 292-296

[4] Valencia A(2009)The High Throughput Sequence Annotation Service (HT-SAS) - the shortcut from sequence to true Medline words BMC Bioinformatics 10 148-154

[5] Liu Y(2006)EBIMed - text crunching to gather facts for proteins from Medline Bioinformatics 23 e237-e244

[6] Brandon M(2008)FACTA: a text search engine for finding associated biomedical concepts Bioinformatics 24 2559-2560

[7] Navathe S(2008)PolySearch: a web-based text mining system for extracting relationships between human diseases, genes, mutations, drugs and metabolites Nucleid Acids Research 36 W399-W405

[8] Dingledine R(2005)LitMiner and Wiki-Gene: identifying problem-related key players of gene regulation using publication abstracts Nucleic Acids Research 33 W779-W782

[9] Ciliax BJ(2008)e-LiSe-an online tool for finding needles in the 'Medline haystack' Bioinformatics 24 1115-1117

[10] Kaczanowski S(2008)Retrieving textual evidence of relations between biomedical concepts from Medline Bioinformatics 24 1410-1412

[1] McEntyre J(2001)PubMed: bridging the information gap Canadian Medical Association Journal 164 1317-1319

[2] Lipman D(1998)Automatic extraction of keywords from scientific text: application to the knowledge domain of protein families Bioinformatics 14 600-607

[3] Andrade MA(2004)Text mining functional keywords associated with genes MedInfo 11 292-296

[4] Valencia A(2009)The High Throughput Sequence Annotation Service (HT-SAS) - the shortcut from sequence to true Medline words BMC Bioinformatics 10 148-154

[5] Liu Y(2006)EBIMed - text crunching to gather facts for proteins from Medline Bioinformatics 23 e237-e244

[6] Brandon M(2008)FACTA: a text search engine for finding associated biomedical concepts Bioinformatics 24 2559-2560

[7] Navathe S(2008)PolySearch: a web-based text mining system for extracting relationships between human diseases, genes, mutations, drugs and metabolites Nucleid Acids Research 36 W399-W405

[8] Dingledine R(2005)LitMiner and Wiki-Gene: identifying problem-related key players of gene regulation using publication abstracts Nucleic Acids Research 33 W779-W782

[9] Ciliax BJ(2008)e-LiSe-an online tool for finding needles in the 'Medline haystack' Bioinformatics 24 1115-1117

[10] Kaczanowski S(2008)Retrieving textual evidence of relations between biomedical concepts from Medline Bioinformatics 24 1410-1412