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 *

105 related articles for article (PubMed ID: 35751806)

  • 1. MuSE: A Novel Approach to Mutation Calling with Sample-Specific Error Modeling.
    Ji S; Montierth MD; Wang W
    Methods Mol Biol; 2022; 2493():21-27. PubMed ID: 35751806
    [TBL] [Abstract][Full Text] [Related]  

  • 2. MuSE: accounting for tumor heterogeneity using a sample-specific error model improves sensitivity and specificity in mutation calling from sequencing data.
    Fan Y; Xi L; Hughes DS; Zhang J; Zhang J; Futreal PA; Wheeler DA; Wang W
    Genome Biol; 2016 Aug; 17(1):178. PubMed ID: 27557938
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Accurately identifying low-allelic fraction variants in single samples with next-generation sequencing: applications in tumor subclone resolution.
    Stead LF; Sutton KM; Taylor GR; Quirke P; Rabbitts P
    Hum Mutat; 2013 Oct; 34(10):1432-8. PubMed ID: 23766071
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Ensemble-Based Somatic Mutation Calling in Cancer Genomes.
    Huang W; Guo YA; Chang MM; Skanderup AJ
    Methods Mol Biol; 2020; 2120():37-46. PubMed ID: 32124310
    [TBL] [Abstract][Full Text] [Related]  

  • 5. SNVSniffer: an integrated caller for germline and somatic single-nucleotide and indel mutations.
    Liu Y; Loewer M; Aluru S; Schmidt B
    BMC Syst Biol; 2016 Aug; 10 Suppl 2(Suppl 2):47. PubMed ID: 27489955
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Dual Deep Sequencing Improves the Accuracy of Low-Frequency Somatic Mutation Detection in Cancer Gene Panel Testing.
    Ura H; Togi S; Niida Y
    Int J Mol Sci; 2020 May; 21(10):. PubMed ID: 32429412
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Somatic and Germline Variant Calling from Next-Generation Sequencing Data.
    Chang TC; Xu K; Cheng Z; Wu G
    Adv Exp Med Biol; 2022; 1361():37-54. PubMed ID: 35230682
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Strelka2: fast and accurate calling of germline and somatic variants.
    Kim S; Scheffler K; Halpern AL; Bekritsky MA; Noh E; Källberg M; Chen X; Kim Y; Beyter D; Krusche P; Saunders CT
    Nat Methods; 2018 Aug; 15(8):591-594. PubMed ID: 30013048
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A method to reduce ancestry related germline false positives in tumor only somatic variant calling.
    Halperin RF; Carpten JD; Manojlovic Z; Aldrich J; Keats J; Byron S; Liang WS; Russell M; Enriquez D; Claasen A; Cherni I; Awuah B; Oppong J; Wicha MS; Newman LA; Jaigge E; Kim S; Craig DW
    BMC Med Genomics; 2017 Oct; 10(1):61. PubMed ID: 29052513
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. Accurate Ensemble Prediction of Somatic Mutations with SMuRF2.
    Huang W; Sim NL; Skanderup AJ
    Methods Mol Biol; 2022; 2493():53-66. PubMed ID: 35751808
    [TBL] [Abstract][Full Text] [Related]  

  • 12. LoLoPicker: detecting low allelic-fraction variants from low-quality cancer samples.
    Carrot-Zhang J; Majewski J
    Oncotarget; 2017 Jun; 8(23):37032-37040. PubMed ID: 28416765
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. TNER: a novel background error suppression method for mutation detection in circulating tumor DNA.
    Deng S; Lira M; Huang D; Wang K; Valdez C; Kinong J; Rejto PA; Bienkowska J; Hardwick J; Xie T
    BMC Bioinformatics; 2018 Oct; 19(1):387. PubMed ID: 30342468
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Ultrasensitive detection of rare mutations using next-generation targeted resequencing.
    Flaherty P; Natsoulis G; Muralidharan O; Winters M; Buenrostro J; Bell J; Brown S; Holodniy M; Zhang N; Ji HP
    Nucleic Acids Res; 2012 Jan; 40(1):e2. PubMed ID: 22013163
    [TBL] [Abstract][Full Text] [Related]  

  • 16. RareVar: A Framework for Detecting Low-Frequency Single-Nucleotide Variants.
    Hao Y; Xuei X; Li L; Nakshatri H; Edenberg HJ; Liu Y
    J Comput Biol; 2017 Jul; 24(7):637-646. PubMed ID: 28541743
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. Improvement in detection of minor alleles in next generation sequencing by base quality recalibration.
    Ni S; Stoneking M
    BMC Genomics; 2016 Feb; 17():139. PubMed ID: 26920804
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. Detection of somatic BRCA1/2 mutations in ovarian cancer - next-generation sequencing analysis of 100 cases.
    Koczkowska M; Zuk M; Gorczynski A; Ratajska M; Lewandowska M; Biernat W; Limon J; Wasag B
    Cancer Med; 2016 Jul; 5(7):1640-6. PubMed ID: 27167707
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.