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 *

325 related articles for article (PubMed ID: 28185561)

  • 1. Optimized pipeline of MuTect and GATK tools to improve the detection of somatic single nucleotide polymorphisms in whole-exome sequencing data.
    do Valle ÍF; Giampieri E; Simonetti G; Padella A; Manfrini M; Ferrari A; Papayannidis C; Zironi I; Garonzi M; Bernardi S; Delledonne M; Martinelli G; Remondini D; Castellani G
    BMC Bioinformatics; 2016 Nov; 17(Suppl 12):341. PubMed ID: 28185561
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Detailed simulation of cancer exome sequencing data reveals differences and common limitations of variant callers.
    Hofmann AL; Behr J; Singer J; Kuipers J; Beisel C; Schraml P; Moch H; Beerenwinkel N
    BMC Bioinformatics; 2017 Jan; 18(1):8. PubMed ID: 28049408
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Comparison of somatic mutation calling methods in amplicon and whole exome sequence data.
    Xu H; DiCarlo J; Satya RV; Peng Q; Wang Y
    BMC Genomics; 2014 Mar; 15():244. PubMed ID: 24678773
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A three-caller pipeline for variant analysis of cancer whole-exome sequencing data.
    Liu ZK; Shang YK; Chen ZN; Bian H
    Mol Med Rep; 2017 May; 15(5):2489-2494. PubMed ID: 28447726
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Detection of Somatic Mutations in Exome Sequencing of Tumor-only Samples.
    Hsu YC; Hsiao YT; Kao TY; Chang JG; Shieh GS
    Sci Rep; 2017 Nov; 7(1):15959. PubMed ID: 29162841
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Variant callers for next-generation sequencing data: a comparison study.
    Liu X; Han S; Wang Z; Gelernter J; Yang BZ
    PLoS One; 2013; 8(9):e75619. PubMed ID: 24086590
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Halvade somatic: Somatic variant calling with Apache Spark.
    Decap D; de Schaetzen van Brienen L; Larmuseau M; Costanza P; Herzeel C; Wuyts R; Marchal K; Fostier J
    Gigascience; 2022 Jan; 11(1):. PubMed ID: 35022699
    [TBL] [Abstract][Full Text] [Related]  

  • 8. An evaluation of copy number variation detection tools for cancer using whole exome sequencing data.
    Zare F; Dow M; Monteleone N; Hosny A; Nabavi S
    BMC Bioinformatics; 2017 May; 18(1):286. PubMed ID: 28569140
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A Comparison of Variant Calling Pipelines Using Genome in a Bottle as a Reference.
    Cornish A; Guda C
    Biomed Res Int; 2015; 2015():456479. PubMed ID: 26539496
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. 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]  

  • 12. Evaluation of an optimized germline exomes pipeline using BWA-MEM2 and Dragen-GATK tools.
    Alganmi N; Abusamra H
    PLoS One; 2023; 18(8):e0288371. PubMed ID: 37535628
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. Challenges in exome analysis by LifeScope and its alternative computational pipelines.
    Pranckevičiene E; Rančelis T; Pranculis A; Kučinskas V
    BMC Res Notes; 2015 Sep; 8():421. PubMed ID: 26346699
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Construction of a combinatorial pipeline using two somatic variant  calling  methods  for whole exome sequence data of gastric cancer.
    Kohmoto T; Masuda K; Naruto T; Tange S; Shoda K; Hamada J; Saito M; Ichikawa D; Tajima A; Otsuji E; Imoto I
    J Med Invest; 2017; 64(3.4):233-240. PubMed ID: 28954988
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. BAYSIC: a Bayesian method for combining sets of genome variants with improved specificity and sensitivity.
    Cantarel BL; Weaver D; McNeill N; Zhang J; Mackey AJ; Reese J
    BMC Bioinformatics; 2014 Apr; 15():104. PubMed ID: 24725768
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Impact of post-alignment processing in variant discovery from whole exome data.
    Tian S; Yan H; Kalmbach M; Slager SL
    BMC Bioinformatics; 2016 Oct; 17(1):403. PubMed ID: 27716037
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Bioinformatics Analysis of Whole Exome Sequencing Data.
    Ulintz PJ; Wu W; Gates CM
    Methods Mol Biol; 2019; 1881():277-318. PubMed ID: 30350213
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Sequenza: allele-specific copy number and mutation profiles from tumor sequencing data.
    Favero F; Joshi T; Marquard AM; Birkbak NJ; Krzystanek M; Li Q; Szallasi Z; Eklund AC
    Ann Oncol; 2015 Jan; 26(1):64-70. PubMed ID: 25319062
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 17.