237 related articles for article (PubMed ID: 30833567)
21. Differential analysis between somatic mutation and germline variation profiles reveals cancer-related genes.
Przytycki PF; Singh M
Genome Med; 2017 Aug; 9(1):79. PubMed ID: 28841835
[TBL] [Abstract][Full Text] [Related]
22. More Pitfalls Related to Next-generation Sequencing (NGS).
Sorscher S
Am J Clin Oncol; 2016 Aug; 39(4):424. PubMed ID: 27465427
[No Abstract] [Full Text] [Related]
23. Evaluating somatic tumor mutation detection without matched normal samples.
Teer JK; Zhang Y; Chen L; Welsh EA; Cress WD; Eschrich SA; Berglund AE
Hum Genomics; 2017 Sep; 11(1):22. PubMed ID: 28870239
[TBL] [Abstract][Full Text] [Related]
24. Accurate De Novo Prediction of Protein Contact Map by Ultra-Deep Learning Model.
Wang S; Sun S; Li Z; Zhang R; Xu J
PLoS Comput Biol; 2017 Jan; 13(1):e1005324. PubMed ID: 28056090
[TBL] [Abstract][Full Text] [Related]
25. Prediction of mutation effects using a deep temporal convolutional network.
Kim HY; Kim D
Bioinformatics; 2020 Apr; 36(7):2047-2052. PubMed ID: 31746978
[TBL] [Abstract][Full Text] [Related]
26. MutSpec: a Galaxy toolbox for streamlined analyses of somatic mutation spectra in human and mouse cancer genomes.
Ardin M; Cahais V; Castells X; Bouaoun L; Byrnes G; Herceg Z; Zavadil J; Olivier M
BMC Bioinformatics; 2016 Apr; 17():170. PubMed ID: 27091472
[TBL] [Abstract][Full Text] [Related]
27. SNooPer: a machine learning-based method for somatic variant identification from low-pass next-generation sequencing.
Spinella JF; Mehanna P; Vidal R; Saillour V; Cassart P; Richer C; Ouimet M; Healy J; Sinnett D
BMC Genomics; 2016 Nov; 17(1):912. PubMed ID: 27842494
[TBL] [Abstract][Full Text] [Related]
28. 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; 93(3):439-51. PubMed ID: 23954162
[TBL] [Abstract][Full Text] [Related]
29. Skin lesion classification with ensembles of deep convolutional neural networks.
Harangi B
J Biomed Inform; 2018 Oct; 86():25-32. PubMed ID: 30103029
[TBL] [Abstract][Full Text] [Related]
30. SomaticSeq: An Ensemble and Machine Learning Method to Detect Somatic Mutations.
Fang LT
Methods Mol Biol; 2020; 2120():47-70. PubMed ID: 32124311
[TBL] [Abstract][Full Text] [Related]
31. Comprehensive analysis of cancer-associated somatic mutations in class I HLA genes.
Shukla SA; Rooney MS; Rajasagi M; Tiao G; Dixon PM; Lawrence MS; Stevens J; Lane WJ; Dellagatta JL; Steelman S; Sougnez C; Cibulskis K; Kiezun A; Hacohen N; Brusic V; Wu CJ; Getz G
Nat Biotechnol; 2015 Nov; 33(11):1152-8. PubMed ID: 26372948
[TBL] [Abstract][Full Text] [Related]
32. In silico learning of tumor evolution through mutational time series.
Auslander N; Wolf YI; Koonin EV
Proc Natl Acad Sci U S A; 2019 May; 116(19):9501-9510. PubMed ID: 31015295
[TBL] [Abstract][Full Text] [Related]
33. Local Epigenomic Data are more Informative than Local Genome Sequence Data in Predicting Enhancer-Promoter Interactions Using Neural Networks.
Xiao M; Zhuang Z; Pan W
Genes (Basel); 2019 Dec; 11(1):. PubMed ID: 31905774
[TBL] [Abstract][Full Text] [Related]
34. Optimization of industrial bacterial strains via mutation analysis: a high-throughput DNA sequencing and bioinformatic approach.
Brett D; Droege M; Weber-Lehmann J
IEEE Eng Med Biol Mag; 2004; 23(4):74-6. PubMed ID: 15508388
[No Abstract] [Full Text] [Related]
35. DeepSV: accurate calling of genomic deletions from high-throughput sequencing data using deep convolutional neural network.
Cai L; Wu Y; Gao J
BMC Bioinformatics; 2019 Dec; 20(1):665. PubMed ID: 31830921
[TBL] [Abstract][Full Text] [Related]
36. The mutREAD method detects mutational signatures from low quantities of cancer DNA.
Perner J; Abbas S; Nowicki-Osuch K; Devonshire G; Eldridge MD; Tavaré S; Fitzgerald RC
Nat Commun; 2020 Jun; 11(1):3166. PubMed ID: 32576827
[TBL] [Abstract][Full Text] [Related]
37. ISOWN: accurate somatic mutation identification in the absence of normal tissue controls.
Kalatskaya I; Trinh QM; Spears M; McPherson JD; Bartlett JMS; Stein L
Genome Med; 2017 Jun; 9(1):59. PubMed ID: 28659176
[TBL] [Abstract][Full Text] [Related]
38. Comprehensive elaboration of database resources utilized in next-generation sequencing-based tumor somatic mutation detection.
Gao P; Zhang R; Li J
Biochim Biophys Acta Rev Cancer; 2019 Aug; 1872(1):122-137. PubMed ID: 31265877
[TBL] [Abstract][Full Text] [Related]
39. Enhancing Evolutionary Couplings with Deep Convolutional Neural Networks.
Liu Y; Palmedo P; Ye Q; Berger B; Peng J
Cell Syst; 2018 Jan; 6(1):65-74.e3. PubMed ID: 29275173
[TBL] [Abstract][Full Text] [Related]
40. MSIseq: Software for Assessing Microsatellite Instability from Catalogs of Somatic Mutations.
Huang MN; McPherson JR; Cutcutache I; Teh BT; Tan P; Rozen SG
Sci Rep; 2015 Aug; 5():13321. PubMed ID: 26306458
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]