BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

251 related articles for article (PubMed ID: 22916110)

  • 1. Mutation discovery in regions of segmental cancer genome amplifications with CoNAn-SNV: a mixture model for next generation sequencing of tumors.
    Crisan A; Goya R; Ha G; Ding J; Prentice LM; Oloumi A; Senz J; Zeng T; Tse K; Delaney A; Marra MA; Huntsman DG; Hirst M; Aparicio S; Shah S
    PLoS One; 2012; 7(8):e41551. PubMed ID: 22916110
    [TBL] [Abstract][Full Text] [Related]  

  • 2. SNVMix: predicting single nucleotide variants from next-generation sequencing of tumors.
    Goya R; Sun MG; Morin RD; Leung G; Ha G; Wiegand KC; Senz J; Crisan A; Marra MA; Hirst M; Huntsman D; Murphy KP; Aparicio S; Shah SP
    Bioinformatics; 2010 Mar; 26(6):730-6. PubMed ID: 20130035
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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. PubMed ID: 22300766
    [TBL] [Abstract][Full Text] [Related]  

  • 4. SECEDO: SNV-based subclone detection using ultra-low coverage single-cell DNA sequencing.
    Rozhoňová H; Danciu D; Stark S; Rätsch G; Kahles A; Lehmann KV
    Bioinformatics; 2022 Sep; 38(18):4293-4300. PubMed ID: 35900151
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Hierarchical discovery of large-scale and focal copy number alterations in low-coverage cancer genomes.
    Khalil AIS; Khyriem C; Chattopadhyay A; Sanyal A
    BMC Bioinformatics; 2020 Apr; 21(1):147. PubMed ID: 32299346
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Multivariate models from RNA-Seq SNVs yield candidate molecular targets for biomarker discovery: SNV-DA.
    Paul MR; Levitt NP; Moore DE; Watson PM; Wilson RC; Denlinger CE; Watson DK; Anderson PE
    BMC Genomics; 2016 Mar; 17():263. PubMed ID: 27029813
    [TBL] [Abstract][Full Text] [Related]  

  • 7. CLImAT-HET: detecting subclonal copy number alterations and loss of heterozygosity in heterogeneous tumor samples from whole-genome sequencing data.
    Yu Z; Li A; Wang M
    BMC Med Genomics; 2017 Mar; 10(1):15. PubMed ID: 28298214
    [TBL] [Abstract][Full Text] [Related]  

  • 8. The use of ultra-dense array CGH analysis for the discovery of micro-copy number alterations and gene fusions in the cancer genome.
    Przybytkowski E; Ferrario C; Basik M
    BMC Med Genomics; 2011 Jan; 4():16. PubMed ID: 21272361
    [TBL] [Abstract][Full Text] [Related]  

  • 9. SCARLET: Single-cell tumor phylogeny inference with copy-number constrained mutation losses.
    Satas G; Zaccaria S; Mon G; Raphael BJ
    Cell Syst; 2020 Apr; 10(4):323-332.e8. PubMed ID: 32864481
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A novel machine learning approach (svmSomatic) to distinguish somatic and germline mutations using next-generation sequencing data.
    Mao YF; Yuan XG; Cun YP
    Zool Res; 2021 Mar; 42(2):246-249. PubMed ID: 33709636
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Inference of tumor phylogenies with improved somatic mutation discovery.
    Salari R; Saleh SS; Kashef-Haghighi D; Khavari D; Newburger DE; West RB; Sidow A; Batzoglou S
    J Comput Biol; 2013 Nov; 20(11):933-44. PubMed ID: 24195709
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Novel insights into breast cancer copy number genetic heterogeneity revealed by single-cell genome sequencing.
    Baslan T; Kendall J; Volyanskyy K; McNamara K; Cox H; D'Italia S; Ambrosio F; Riggs M; Rodgers L; Leotta A; Song J; Mao Y; Wu J; Shah R; Gularte-Mérida R; Chadalavada K; Nanjangud G; Varadan V; Gordon A; Curtis C; Krasnitz A; Dimitrova N; Harris L; Wigler M; Hicks J
    Elife; 2020 May; 9():. PubMed ID: 32401198
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Whole-genome sequencing of phenotypically distinct inflammatory breast cancers reveals similar genomic alterations to non-inflammatory breast cancers.
    Li X; Kumar S; Harmanci A; Li S; Kitchen RR; Zhang Y; Wali VB; Reddy SM; Woodward WA; Reuben JM; Rozowsky J; Hatzis C; Ueno NT; Krishnamurthy S; Pusztai L; Gerstein M
    Genome Med; 2021 Apr; 13(1):70. PubMed ID: 33902690
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Misannotated Multi-Nucleotide Variants in Public Cancer Genomics Datasets Lead to Inaccurate Mutation Calls with Significant Implications.
    Srinivasan S; Kalinava N; Aldana R; Li Z; van Hagen S; Rodenburg SYA; Wind-Rotolo M; Qian X; Sasson AS; Tang H; Kirov S
    Cancer Res; 2021 Jan; 81(2):282-288. PubMed ID: 33115802
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Identification of somatic mutations in single cell DNA-seq using a spatial model of allelic imbalance.
    Luquette LJ; Bohrson CL; Sherman MA; Park PJ
    Nat Commun; 2019 Aug; 10(1):3908. PubMed ID: 31467286
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Whole genome sequencing of 35 individuals provides insights into the genetic architecture of Korean population.
    Zhang W; Meehan J; Su Z; Ng HW; Shu M; Luo H; Ge W; Perkins R; Tong W; Hong H
    BMC Bioinformatics; 2014; 15 Suppl 11(Suppl 11):S6. PubMed ID: 25350283
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Accuracy and reproducibility of somatic point mutation calling in clinical-type targeted sequencing data.
    Karimnezhad A; Palidwor GA; Thavorn K; Stewart DJ; Campbell PA; Lo B; Perkins TJ
    BMC Med Genomics; 2020 Oct; 13(1):156. PubMed ID: 33059707
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A comparative analysis of algorithms for somatic SNV detection in cancer.
    Roberts ND; Kortschak RD; Parker WT; Schreiber AW; Branford S; Scott HS; Glonek G; Adelson DL
    Bioinformatics; 2013 Sep; 29(18):2223-30. PubMed ID: 23842810
    [TBL] [Abstract][Full Text] [Related]  

  • 19. High performance of targeted next generation sequencing on variance detection in clinical tumor specimens in comparison with current conventional methods.
    Su D; Zhang D; Chen K; Lu J; Wu J; Cao X; Ying L; Jin Q; Ye Y; Xie Z; Xiong L; Mao W; Li F
    J Exp Clin Cancer Res; 2017 Sep; 36(1):121. PubMed ID: 28882180
    [TBL] [Abstract][Full Text] [Related]  

  • 20. SiNVICT: ultra-sensitive detection of single nucleotide variants and indels in circulating tumour DNA.
    Kockan C; Hach F; Sarrafi I; Bell RH; McConeghy B; Beja K; Haegert A; Wyatt AW; Volik SV; Chi KN; Collins CC; Sahinalp SC
    Bioinformatics; 2017 Jan; 33(1):26-34. PubMed ID: 27531099
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 13.