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Items: 1 to 20 of 63

1.

Systematic association of genes to phenotypes by genome and literature mining.

Korbel JO, Doerks T, Jensen LJ, Perez-Iratxeta C, Kaczanowski S, Hooper SD, Andrade MA, Bork P.

PLoS Biol. 2005 May;3(5):e134.

2.

The Mouse Genome Database genotypes::phenotypes.

Blake JA, Bult CJ, Eppig JT, Kadin JA, Richardson JE; Mouse Genome Database Group..

Nucleic Acids Res. 2009 Jan;37(Database issue):D712-9. doi: 10.1093/nar/gkn886.

3.

From genotype to phenotype in bovine functional genomics.

Pareek CS, Smoczynski R, Pierzchala M, Czarnik U, Tretyn A.

Brief Funct Genomics. 2011 May;10(3):165-71. doi: 10.1093/bfgp/elr019.

PMID:
21628315
4.

Phenotype mining for functional genomics and gene discovery.

Groth P, Leser U, Weiss B.

Methods Mol Biol. 2011;760:159-73. doi: 10.1007/978-1-61779-176-5_10.

PMID:
21779996
5.

Association of genes to genetically inherited diseases using data mining.

Perez-Iratxeta C, Bork P, Andrade MA.

Nat Genet. 2002 Jul;31(3):316-9.

PMID:
12006977
6.

An integrative modular approach to systematically predict gene-phenotype associations.

Mehan MR, Nunez-Iglesias J, Dai C, Waterman MS, Zhou XJ.

BMC Bioinformatics. 2010 Jan 18;11 Suppl 1:S62. doi: 10.1186/1471-2105-11-S1-S62.

7.

A text-mining analysis of the human phenome.

van Driel MA, Bruggeman J, Vriend G, Brunner HG, Leunissen JA.

Eur J Hum Genet. 2006 May;14(5):535-42.

8.

Extending the Bacillus cereus group genomics to putative food-borne pathogens of different toxicity.

Lapidus A, Goltsman E, Auger S, Galleron N, Ségurens B, Dossat C, Land ML, Broussolle V, Brillard J, Guinebretiere MH, Sanchis V, Nguen-The C, Lereclus D, Richardson P, Wincker P, Weissenbach J, Ehrlich SD, Sorokin A.

Chem Biol Interact. 2008 Jan 30;171(2):236-49.

PMID:
17434157
9.

Towards a database for genotype-phenotype association research: mining data from encyclopaedia.

Pajić VS, Pavloviç-Lazetić GM, Beljanski MV, Brandt BW, Pajić MB.

Int J Data Min Bioinform. 2013;7(2):196-213.

PMID:
23777176
10.

Analysis of the genome-wide variations among multiple strains of the plant pathogenic bacterium Xylella fastidiosa.

Doddapaneni H, Yao J, Lin H, Walker MA, Civerolo EL.

BMC Genomics. 2006 Sep 1;7:225.

11.

From genome mining to phenotypic microarrays: Planctomycetes as source for novel bioactive molecules.

Jeske O, Jogler M, Petersen J, Sikorski J, Jogler C.

Antonie Van Leeuwenhoek. 2013 Oct;104(4):551-67. doi: 10.1007/s10482-013-0007-1.

PMID:
23982431
12.

Mining the genomes of plant pathogenic bacteria: how not to drown in gigabases of sequence.

Vinatzer BA, Yan S.

Mol Plant Pathol. 2008 Jan;9(1):105-18. doi: 10.1111/j.1364-3703.2007.00438.x. Review.

PMID:
18705888
13.

Genome trees constructed using five different approaches suggest new major bacterial clades.

Wolf YI, Rogozin IB, Grishin NV, Tatusov RL, Koonin EV.

BMC Evol Biol. 2001 Oct 20;1:8.

14.
15.

Prediction of gene-phenotype associations in humans, mice, and plants using phenologs.

Woods JO, Singh-Blom UM, Laurent JM, McGary KL, Marcotte EM.

BMC Bioinformatics. 2013 Jun 21;14:203. doi: 10.1186/1471-2105-14-203.

16.

Integration of curated databases to identify genotype-phenotype associations.

Goh CS, Gianoulis TA, Liu Y, Li J, Paccanaro A, Lussier YA, Gerstein M.

BMC Genomics. 2006 Oct 12;7:257.

17.

Strepto-DB, a database for comparative genomics of group A (GAS) and B (GBS) streptococci, implemented with the novel database platform 'Open Genome Resource' (OGeR).

Klein J, Münch R, Biegler I, Haddad I, Retter I, Jahn D.

Nucleic Acids Res. 2009 Jan;37(Database issue):D494-8. doi: 10.1093/nar/gkn674.

18.

Rickettsial evolution in the light of comparative genomics.

Merhej V, Raoult D.

Biol Rev Camb Philos Soc. 2011 May;86(2):379-405. doi: 10.1111/j.1469-185X.2010.00151.x. Review.

PMID:
20716256
19.

Comparative analyses of genotype dependent expressed sequence tags and stress-responsive transcriptome of chickpea wilt illustrate predicted and unexpected genes and novel regulators of plant immunity.

Ashraf N, Ghai D, Barman P, Basu S, Gangisetty N, Mandal MK, Chakraborty N, Datta A, Chakraborty S.

BMC Genomics. 2009 Sep 5;10:415. doi: 10.1186/1471-2164-10-415.

20.

Integrative mining of traditional Chinese medicine literature and MEDLINE for functional gene networks.

Zhou X, Liu B, Wu Z, Feng Y.

Artif Intell Med. 2007 Oct;41(2):87-104.

PMID:
17804209
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