Literature mining for the biologist: from information retrieval to biological discovery Export

@article{citeulike:469428, abstract = {For the average biologist, hands-on literature mining currently means a keyword search in PubMed. However, methods for extracting biomedical facts from the scientific literature have improved considerably, and the associated tools will probably soon be used in many laboratories to automatically annotate and analyse the growing number of system-wide experimental data sets. Owing to the increasing body of text and the open-access policies of many journals, literature mining is also becoming useful for both hypothesis generation and biological discovery. However, the latter will require the integration of literature and high-throughput data, which should encourage close collaborations between biologists and computational linguists.}, author = {Jensen, Lars J. and Saric, Jasmin and Bork, Peer}, citeulike-article-id = {469428}, citeulike-linkout-0 = {http://dx.doi.org/10.1038/nrg1768}, citeulike-linkout-1 = {http://dx.doi.org/10.1038/nrg1768}, citeulike-linkout-2 = {http://view.ncbi.nlm.nih.gov/pubmed/16418747}, citeulike-linkout-3 = {http://www.hubmed.org/display.cgi?uids=16418747}, day = {01}, doi = {10.1038/nrg1768}, issn = {1471-0056}, journal = {Nature Reviews Genetics}, keywords = {data-mining}, month = {February}, number = {2}, pages = {119--129}, posted-at = {2007-10-05 20:05:29}, priority = {0}, publisher = {Nature Publishing Group}, title = {Literature mining for the biologist: from information retrieval to biological discovery}, url = {http://dx.doi.org/10.1038/nrg1768}, volume = {7}, year = {2006} }

TY - JOUR ID - citeulike:469428 L3 - citeulike-article-id:469428 N2 - For the average biologist, hands-on literature mining currently means a keyword search in PubMed. However, methods for extracting biomedical facts from the scientific literature have improved considerably, and the associated tools will probably soon be used in many laboratories to automatically annotate and analyse the growing number of system-wide experimental data sets. Owing to the increasing body of text and the open-access policies of many journals, literature mining is also becoming useful for both hypothesis generation and biological discovery. However, the latter will require the integration of literature and high-throughput data, which should encourage close collaborations between biologists and computational linguists. IS - 2 JF - Nature Reviews Genetics SN - 1471-0056 EP - 129 TI - Literature mining for the biologist: from information retrieval to biological discovery PB - Nature Publishing Group VL - 7 SP - 119 KW - data-mining AU - Jensen, Lars AU - Saric, Jasmin AU - Bork, Peer PY - 2006/02/01/ UR - http://dx.doi.org/10.1038/nrg1768 ER -