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Items: 1 to 20 of 104

1.

MuSiC: identifying mutational significance in cancer genomes.

Dees ND, Zhang Q, Kandoth C, Wendl MC, Schierding W, Koboldt DC, Mooney TB, Callaway MB, Dooling D, Mardis ER, Wilson RK, Ding L.

Genome Res. 2012 Aug;22(8):1589-98. doi: 10.1101/gr.134635.111. Epub 2012 Jul 3.

2.
3.

Establishing the origin of metastatic deposits in the setting of multiple primary malignancies: the role of massively parallel sequencing.

De Mattos-Arruda L, Bidard FC, Won HH, Cortes J, Ng CK, Peg V, Nuciforo P, Jungbluth AA, Weigelt B, Berger MF, Seoane J, Reis-Filho JS.

Mol Oncol. 2014 Feb;8(1):150-8. doi: 10.1016/j.molonc.2013.10.006. Epub 2013 Oct 31.

4.

Discovery of mutated subnetworks associated with clinical data in cancer.

Vandin F, Clay P, Upfal E, Raphael BJ.

Pac Symp Biocomput. 2012:55-66.

5.

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.

6.

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.

7.

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.

9.

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.

10.

Comprehensive BRCA1 and BRCA2 mutational profile in Lithuania.

Janavičius R, Rudaitis V, Mickys U, Elsakov P, Griškevičius L.

Cancer Genet. 2014 May;207(5):195-205. doi: 10.1016/j.cancergen.2014.05.002. Epub 2014 May 10.

PMID:
25066507
11.

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
12.

Mutational analysis of the BRCA1-interacting genes ZNF350/ZBRK1 and BRIP1/BACH1 among BRCA1 and BRCA2-negative probands from breast-ovarian cancer families and among early-onset breast cancer cases and reference individuals.

Rutter JL, Smith AM, Dávila MR, Sigurdson AJ, Giusti RM, Pineda MA, Doody MM, Tucker MA, Greene MH, Zhang J, Struewing JP.

Hum Mutat. 2003 Aug;22(2):121-8.

PMID:
12872252
13.

BRCA1 and BRCA2 unclassified variants and missense polymorphisms in Algerian breast/ovarian cancer families.

Cherbal F, Salhi N, Bakour R, Adane S, Boualga K, Maillet P.

Dis Markers. 2012;32(6):343-53. doi: 10.3233/DMA-2012-0893.

14.

Molecular analysis of the breast cancer genes BRCA1 and BRCA2 using amplicon-based massive parallel pyrosequencing.

Michils G, Hollants S, Dehaspe L, Van Houdt J, Bidet Y, Uhrhammer N, Bignon YJ, Vermeesch JR, Cuppens H, Matthijs G.

J Mol Diagn. 2012 Nov;14(6):623-30. doi: 10.1016/j.jmoldx.2012.05.006. Epub 2012 Sep 30.

PMID:
23034506
15.

Rapid mutation detection in complex genes by heteroduplex analysis with capillary array electrophoresis.

Velasco E, Infante M, Durán M, Esteban-Cardeñosa E, Lastra E, García-Girón C, Miner C.

Electrophoresis. 2005 Jun;26(13):2539-52.

PMID:
15937982
16.

VarScan 2: somatic mutation and copy number alteration discovery in cancer by exome sequencing.

Koboldt DC, Zhang Q, Larson DE, Shen D, McLellan MD, Lin L, Miller CA, Mardis ER, Ding L, Wilson RK.

Genome Res. 2012 Mar;22(3):568-76. doi: 10.1101/gr.129684.111. Epub 2012 Feb 2.

17.

Mutational analysis of BRCA1 and BRCA2 genes in Chinese ovarian cancer identifies 6 novel germline mutations.

Khoo US, Ngan HY, Cheung AN, Chan KY, Lu J, Chan VW, Lau S, Andrulis IL, Ozcelik H.

Hum Mutat. 2000 Jul;16(1):88-9.

PMID:
10874312
18.

MADGiC: a model-based approach for identifying driver genes in cancer.

Korthauer KD, Kendziorski C.

Bioinformatics. 2015 May 15;31(10):1526-35. doi: 10.1093/bioinformatics/btu858. Epub 2015 Jan 7.

19.

The p53 mutational spectrum associated with BRCA1 mutant ovarian cancer.

Buller RE, Lallas TA, Shahin MS, Sood AK, Hatterman-Zogg M, Anderson B, Sorosky JI, Kirby PA.

Clin Cancer Res. 2001 Apr;7(4):831-8.

20.

Identifying cancer mutation targets across thousands of samples: MuteProc, a high throughput mutation analysis pipeline.

Hadj Khodabakhshi A, Fejes AP, Birol I, Jones SJ.

BMC Bioinformatics. 2013 May 28;14:167. doi: 10.1186/1471-2105-14-167.

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