These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

327 related articles for article (PubMed ID: 23471004)

  • 1. An empirical Bayesian framework for somatic mutation detection from cancer genome sequencing data.
    Shiraishi Y; Sato Y; Chiba K; Okuno Y; Nagata Y; Yoshida K; Shiba N; Hayashi Y; Kume H; Homma Y; Sanada M; Ogawa S; Miyano S
    Nucleic Acids Res; 2013 Apr; 41(7):e89. PubMed ID: 23471004
    [TBL] [Abstract][Full Text] [Related]  

  • 2. multiSNV: a probabilistic approach for improving detection of somatic point mutations from multiple related tumour samples.
    Josephidou M; Lynch AG; Tavaré S
    Nucleic Acids Res; 2015 May; 43(9):e61. PubMed ID: 25722372
    [TBL] [Abstract][Full Text] [Related]  

  • 3. HapMuC: somatic mutation calling using heterozygous germ line variants near candidate mutations.
    Usuyama N; Shiraishi Y; Sato Y; Kume H; Homma Y; Ogawa S; Miyano S; Imoto S
    Bioinformatics; 2014 Dec; 30(23):3302-9. PubMed ID: 25123903
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. MixClone: a mixture model for inferring tumor subclonal populations.
    Li Y; Xie X
    BMC Genomics; 2015; 16 Suppl 2(Suppl 2):S1. PubMed ID: 25707430
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A cancer cell-line titration series for evaluating somatic classification.
    Denroche RE; Mullen L; Timms L; Beck T; Yung CK; Stein L; McPherson JD; Brown AM
    BMC Res Notes; 2015 Dec; 8():823. PubMed ID: 26708082
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. 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]  

  • 9. FaSD-somatic: a fast and accurate somatic SNV detection algorithm for cancer genome sequencing data.
    Wang W; Wang P; Xu F; Luo R; Wong MP; Lam TW; Wang J
    Bioinformatics; 2014 Sep; 30(17):2498-500. PubMed ID: 24833803
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A Bayesian framework for de novo mutation calling in parents-offspring trios.
    Wei Q; Zhan X; Zhong X; Liu Y; Han Y; Chen W; Li B
    Bioinformatics; 2015 May; 31(9):1375-81. PubMed ID: 25535243
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A simple method to estimate the in-house limit of detection for genetic mutations with low allele frequencies in whole-exome sequencing analysis by next-generation sequencing.
    Miura T; Yasuda S; Sato Y
    BMC Genom Data; 2021 Feb; 22(1):8. PubMed ID: 33602132
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Evaluation of Nine Somatic Variant Callers for Detection of Somatic Mutations in Exome and Targeted Deep Sequencing Data.
    Krøigård AB; Thomassen M; Lænkholm AV; Kruse TA; Larsen MJ
    PLoS One; 2016; 11(3):e0151664. PubMed ID: 27002637
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Feature-based classifiers for somatic mutation detection in tumour-normal paired sequencing data.
    Ding J; Bashashati A; Roth A; Oloumi A; Tse K; Zeng T; Haffari G; Hirst M; Marra MA; Condon A; Aparicio S; Shah SP
    Bioinformatics; 2012 Jan; 28(2):167-75. PubMed ID: 22084253
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A Novel Affordable and Reliable Framework for Accurate Detection and Comprehensive Analysis of Somatic Mutations in Cancer.
    Atzeni R; Massidda M; Pieroni E; Rallo V; Pisu M; Angius A
    Int J Mol Sci; 2024 Jul; 25(15):. PubMed ID: 39125613
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Practicability of detecting somatic point mutation from RNA high throughput sequencing data.
    Sheng Q; Zhao S; Li CI; Shyr Y; Guo Y
    Genomics; 2016 May; 107(5):163-9. PubMed ID: 27046520
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Accelerated somatic mutation calling for whole-genome and whole-exome sequencing data from heterogenous tumor samples.
    Ji S; Zhu T; Sethia A; Wang W
    Genome Res; 2024 May; 34(4):633-641. PubMed ID: 38589250
    [TBL] [Abstract][Full Text] [Related]  

  • 17. SMuRF: portable and accurate ensemble prediction of somatic mutations.
    Huang W; Guo YA; Muthukumar K; Baruah P; Chang MM; Jacobsen Skanderup A
    Bioinformatics; 2019 Sep; 35(17):3157-3159. PubMed ID: 30649191
    [TBL] [Abstract][Full Text] [Related]  

  • 18. OVarCall: Bayesian Mutation Calling Method Utilizing Overlapping Paired-End Reads.
    Moriyama T; Shiraishi Y; Chiba K; Yamaguchi R; Imoto S; Miyano S
    IEEE Trans Nanobioscience; 2017 Mar; 16(2):116-122. PubMed ID: 28278479
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Strelka: accurate somatic small-variant calling from sequenced tumor-normal sample pairs.
    Saunders CT; Wong WS; Swamy S; Becq J; Murray LJ; Cheetham RK
    Bioinformatics; 2012 Jul; 28(14):1811-7. PubMed ID: 22581179
    [TBL] [Abstract][Full Text] [Related]  

  • 20. The use of technical replication for detection of low-level somatic mutations in next-generation sequencing.
    Kim J; Kim D; Lim JS; Maeng JH; Son H; Kang HC; Nam H; Lee JH; Kim S
    Nat Commun; 2019 Mar; 10(1):1047. PubMed ID: 30837471
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 17.