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Items: 1 to 20 of 83

1.

The landscape for epigenetic/epigenomic biomedical resources.

Shakya K, O'Connell MJ, Ruskin HJ.

Epigenetics. 2012 Sep;7(9):982-6. Epub 2012 Aug 9. Review.

2.

Bioinformatics and database resources in hepatology.

Teufel A.

J Hepatol. 2015 Mar;62(3):712-9. doi: 10.1016/j.jhep.2014.10.036. Epub 2014 Oct 30. Review.

3.

Evaluation of BioCreAtIvE assessment of task 2.

Blaschke C, Leon EA, Krallinger M, Valencia A.

BMC Bioinformatics. 2005;6 Suppl 1:S16. Epub 2005 May 24.

4.

NCBI Epigenomics: a new public resource for exploring epigenomic data sets.

Fingerman IM, McDaniel L, Zhang X, Ratzat W, Hassan T, Jiang Z, Cohen RF, Schuler GD.

Nucleic Acids Res. 2011 Jan;39(Database issue):D908-12. doi: 10.1093/nar/gkq1146. Epub 2010 Nov 12.

5.

A Survey of Bioinformatics Database and Software Usage through Mining the Literature.

Duck G, Nenadic G, Filannino M, Brass A, Robertson DL, Stevens R.

PLoS One. 2016 Jun 22;11(6):e0157989. doi: 10.1371/journal.pone.0157989. eCollection 2016.

6.

Text mining in livestock animal science: introducing the potential of text mining to animal sciences.

Sahadevan S, Hofmann-Apitius M, Schellander K, Tesfaye D, Fluck J, Friedrich CM.

J Anim Sci. 2012 Oct;90(10):3666-76. doi: 10.2527/jas.2011-4841. Epub 2012 Jun 4.

7.

Online tools for bioinformatics analyses in nutrition sciences.

Malkaram SA, Hassan YI, Zempleni J.

Adv Nutr. 2012 Sep 1;3(5):654-65. doi: 10.3945/an.112.002477. Review.

8.

Next-generation technologies and data analytical approaches for epigenomics.

Mensaert K, Denil S, Trooskens G, Van Criekinge W, Thas O, De Meyer T.

Environ Mol Mutagen. 2014 Apr;55(3):155-70. doi: 10.1002/em.21841. Epub 2013 Dec 10. Review.

PMID:
24327356
9.

The Einstein Center for Epigenomics: studying the role of epigenomic dysregulation in human disease.

McLellan AS, Dubin RA, Jing Q, Maqbool SB, Olea R, Westby G, Broin PÓ, Fazzari MJ, Zheng D, Suzuki M, Greally JM.

Epigenomics. 2009 Oct;1(1):33-8. doi: 10.2217/epi.09.9.

10.

Biomedical text mining and its applications in cancer research.

Zhu F, Patumcharoenpol P, Zhang C, Yang Y, Chan J, Meechai A, Vongsangnak W, Shen B.

J Biomed Inform. 2013 Apr;46(2):200-11. doi: 10.1016/j.jbi.2012.10.007. Epub 2012 Nov 15. Review.

11.

Analysis of biological processes and diseases using text mining approaches.

Krallinger M, Leitner F, Valencia A.

Methods Mol Biol. 2010;593:341-82. doi: 10.1007/978-1-60327-194-3_16. Review.

PMID:
19957157
12.

miRSel: automated extraction of associations between microRNAs and genes from the biomedical literature.

Naeem H, Küffner R, Csaba G, Zimmer R.

BMC Bioinformatics. 2010 Mar 16;11:135. doi: 10.1186/1471-2105-11-135.

13.

Mining the biomedical literature in the genomic era: an overview.

Shatkay H, Feldman R.

J Comput Biol. 2003;10(6):821-55. Review.

PMID:
14980013
14.

Mapping of biomedical text to concepts of lexicons, terminologies, and ontologies.

Bada M.

Methods Mol Biol. 2014;1159:33-45. doi: 10.1007/978-1-4939-0709-0_3. Review.

PMID:
24788260
15.

The value of an in-domain lexicon in genomics QA.

Sasaki Y, McNaught J, Ananiadou S.

J Bioinform Comput Biol. 2010 Feb;8(1):147-61.

PMID:
20183880
16.

A re-evaluation of biomedical named entity-term relations.

Ohta T, Pyysalo S, Kim JD, Tsujii J.

J Bioinform Comput Biol. 2010 Oct;8(5):917-28.

PMID:
20981895
17.

Translational bioinformatics.

Martin-Sanchez F, Hermosilla-Gimeno I.

Stud Health Technol Inform. 2010;151:312-37.

PMID:
20407170
18.

Open-source tools for data mining.

Zupan B, Demsar J.

Clin Lab Med. 2008 Mar;28(1):37-54, vi. doi: 10.1016/j.cll.2007.10.002.

PMID:
18194717
19.

The USC Epigenome Center.

Laird PW.

Epigenomics. 2009 Oct;1(1):29-31. doi: 10.2217/epi.09.12.

20.

Text mining of cancer-related information: review of current status and future directions.

Spasić I, Livsey J, Keane JA, Nenadić G.

Int J Med Inform. 2014 Sep;83(9):605-23. doi: 10.1016/j.ijmedinf.2014.06.009. Epub 2014 Jun 24. Review.

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