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Items: 1 to 20 of 104

1.

Identifying driver mutations in sequenced cancer genomes: computational approaches to enable precision medicine.

Raphael BJ, Dobson JR, Oesper L, Vandin F.

Genome Med. 2014 Jan 30;6(1):5. doi: 10.1186/gm524. eCollection 2014. Review.

2.

De novo discovery of mutated driver pathways in cancer.

Vandin F, Upfal E, Raphael BJ.

Genome Res. 2012 Feb;22(2):375-85. doi: 10.1101/gr.120477.111. Epub 2011 Jun 7.

3.

Identifying driver mutations from sequencing data of heterogeneous tumors in the era of personalized genome sequencing.

Zhang J, Liu J, Sun J, Chen C, Foltz G, Lin B.

Brief Bioinform. 2014 Mar;15(2):244-55. doi: 10.1093/bib/bbt042. Epub 2013 Jul 1. Review.

4.

Advances in computational approaches for prioritizing driver mutations and significantly mutated genes in cancer genomes.

Cheng F, Zhao J, Zhao Z.

Brief Bioinform. 2016 Jul;17(4):642-56. doi: 10.1093/bib/bbv068. Epub 2015 Aug 24.

PMID:
26307061
5.

Distinguishing between driver and passenger mutations in individual cancer genomes by network enrichment analysis.

Merid SK, Goranskaya D, Alexeyenko A.

BMC Bioinformatics. 2014 Sep 19;15:308. doi: 10.1186/1471-2105-15-308.

6.

Simultaneous identification of multiple driver pathways in cancer.

Leiserson MD, Blokh D, Sharan R, Raphael BJ.

PLoS Comput Biol. 2013;9(5):e1003054. doi: 10.1371/journal.pcbi.1003054. Epub 2013 May 23.

7.

VarWalker: personalized mutation network analysis of putative cancer genes from next-generation sequencing data.

Jia P, Zhao Z.

PLoS Comput Biol. 2014 Feb 6;10(2):e1003460. doi: 10.1371/journal.pcbi.1003460. eCollection 2014 Feb.

8.

Whole genome sequencing for lung cancer.

Daniels M, Goh F, Wright CM, Sriram KB, Relan V, Clarke BE, Duhig EE, Bowman RV, Yang IA, Fong KM.

J Thorac Dis. 2012 Apr 1;4(2):155-63. doi: 10.3978/j.issn.2072-1439.2012.02.01.

9.

DrGaP: a powerful tool for identifying driver genes and pathways in cancer sequencing studies.

Hua X, Xu H, Yang Y, Zhu J, Liu P, Lu Y.

Am J Hum Genet. 2013 Sep 5;93(3):439-51. doi: 10.1016/j.ajhg.2013.07.003. Epub 2013 Aug 15.

10.

Identification of mutated core cancer modules by integrating somatic mutation, copy number variation, and gene expression data.

Zhang J, Zhang S, Wang Y, Zhang XS.

BMC Syst Biol. 2013;7 Suppl 2:S4. doi: 10.1186/1752-0509-7-S2-S4. Epub 2013 Oct 14.

11.

Identifying overlapping mutated driver pathways by constructing gene networks in cancer.

Wu H, Gao L, Li F, Song F, Yang X, Kasabov N.

BMC Bioinformatics. 2015;16 Suppl 5:S3. doi: 10.1186/1471-2105-16-S5-S3. Epub 2015 Mar 18.

12.

Predicting the functional consequences of somatic missense mutations found in tumors.

Carter H, Karchin R.

Methods Mol Biol. 2014;1101:135-59. doi: 10.1007/978-1-62703-721-1_8.

PMID:
24233781
13.

Whole-exome sequencing reveals recurrent somatic mutation networks in cancer.

Liu X, Wang J, Chen L.

Cancer Lett. 2013 Nov 1;340(2):270-6. doi: 10.1016/j.canlet.2012.11.002. Epub 2012 Nov 12. Review.

PMID:
23153794
14.

Beyond the exome: the role of non-coding somatic mutations in cancer.

Piraino SW, Furney SJ.

Ann Oncol. 2016 Feb;27(2):240-8. doi: 10.1093/annonc/mdv561. Epub 2015 Nov 23. Review.

PMID:
26598542
15.

Domain landscapes of somatic mutations in cancer.

Nehrt NL, Peterson TA, Park D, Kann MG.

BMC Genomics. 2012 Jun 18;13 Suppl 4:S9. doi: 10.1186/1471-2164-13-S4-S9.

16.

Individualized network-based drug repositioning infrastructure for precision oncology in the panomics era.

Cheng F, Hong H, Yang S, Wei Y.

Brief Bioinform. 2016 Jun 12. pii: bbw051. [Epub ahead of print]

PMID:
27296652
17.

Somatic point mutations occurring early in development: a monozygotic twin study.

Li R, Montpetit A, Rousseau M, Wu SY, Greenwood CM, Spector TD, Pollak M, Polychronakos C, Richards JB.

J Med Genet. 2014 Jan;51(1):28-34. doi: 10.1136/jmedgenet-2013-101712. Epub 2013 Oct 11.

PMID:
24123875
18.

[Current topics in mutations in the cancer genome].

Iwaya T, Mimori K, Wakabayashi G.

Nihon Geka Gakkai Zasshi. 2012 Mar;113(2):185-90. Review. Japanese.

PMID:
22582578
19.

Functional consequences of somatic mutations in cancer using protein pocket-based prioritization approach.

Vuong H, Cheng F, Lin CC, Zhao Z.

Genome Med. 2014 Oct 14;6(10):81. doi: 10.1186/s13073-014-0081-7. eCollection 2014.

20.

Novel clinico-genome network modeling for revolutionizing genotype-phenotype-based personalized cancer care.

Roukos DH.

Expert Rev Mol Diagn. 2010 Jan;10(1):33-48. doi: 10.1586/erm.09.69. Review.

PMID:
20014921
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