References
Kuipers R, van den Bergh T, Joosten H-J, Lekanne dit Deprez RH, et al: Novel tools for extraction and validation of disease-related mutations applied to Fabry disease. Hum Mutat. 2010, 31: 1026-1032. 10.1002/humu.21317.
Horn F, Laum AL, Cohen FE: Automated extraction of mutation data from the literature: Application of MuteXt to G-protein-coupled receptors and nuclear hormone receptors. Bioinformatics. 2004, 20: 557-568. 10.1093/bioinformatics/btg449.
Rebholz-Schuhmann D, Marcel S, Albert S, Tolle R, et al: Automatic extraction of mutations from Medline and cross-validation with OMIM. Nucleic Acids Res. 2004, 32: 135-142. 10.1093/nar/gkh162.
Caporaso JG, Baumgartner WA, Randolph DA, Cohen KB, et al: MutationFinder: A high-performance system for extracting point mutation mentions from text. Bioinformatics. 2007, 23: 1862-1865. 10.1093/bioinformatics/btm235.
Lee LC, Horn F, Cohen FE: Automatic extraction of protein point mutations using a graph bigram association. PLoS Comput Biol. 2007, 3: e16-10.1371/journal.pcbi.0030016.
Krallinger M, Izarzugaza JM, Rodriguez-Penagos C, Valencia A: Extraction of human kinase mutations from literature, databases and genotyping studies. BMC Bioinformatics. 2009, 10 (Suppl 8): S1-10.1186/1471-2105-10-S8-S1.
Stenson PD, Mort M, Ball EV, Howells K, et al: The Human Gene Mutation Database: 2008 update. Genome Med. 2009, 1: 13-10.1186/gm13.
Yip YL, Lachenal N, Pillet V, Veuthey AL: Retrieving mutation-specific information for human proteins in UniProt/Swiss-Prot Knowledgebase. J Bioinform Comput Biol. 2007, 5: 1215-1231. 10.1142/S021972000700320X.
Witte R, Baker CJ: Towards a systematic evaluation of protein mutation extraction systems. J Bioinform Comput Biol. 2007, 5: 1339-1359. 10.1142/S0219720007003193.
Erdogmus M, Sezerman OU: Application of automatic mutation-gene pair extraction to diseases. J Bioinform Comput Biol. 2007, 5: 1261-1275. 10.1142/S021972000700317X.
Cheng D, Knox C, Young N, Stothard P, et al: PolySearch: A web-based text mining system for extracting relationships between human diseases, genes, mutations, drugs and metabolites. Nucleic Acids Res. 2008, W399-W405. 36 Web Server
Furlong LI, Dach H, Hofmann-Apitius M, Sanz F: OSIRISv1.2: A named entity recognition system for sequence variants of genes in biomedical literature. BMC Bioinformatics. 2008, 9: 84-10.1186/1471-2105-9-84.
Cooper DN, Chen JM, Ball EV, Howells K, et al: Genes, mutations, and human inherited disease at the dawn of the age of personalized genomics. Hum Mutat. 2010, 31: 631-655. 10.1002/humu.21260.
Winnenburg R, Wächter T, Plake C, Doms A, et al: Facts from text: Can text mining help to scale-up high-quality manual curation of gene products with ontologies?. Brief Bioinform. 2009, 9: 466-478.
Caporaso JG, Deshpande N, Fink JL, Bourne PE, et al: Intrinsic evaluation of text mining tools may not predict performance on realistic tasks. Pac Symp Biocomput. 2008, 13: 640-651.