BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

149 related articles for article (PubMed ID: 37535628)

  • 21. 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]  

  • 22. GATK hard filtering: tunable parameters to improve variant calling for next generation sequencing targeted gene panel data.
    De Summa S; Malerba G; Pinto R; Mori A; Mijatovic V; Tommasi S
    BMC Bioinformatics; 2017 Mar; 18(Suppl 5):119. PubMed ID: 28361668
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Improving mapping and SNP-calling performance in multiplexed targeted next-generation sequencing.
    Elsharawy A; Forster M; Schracke N; Keller A; Thomsen I; Petersen BS; Stade B; Stähler P; Schreiber S; Rosenstiel P; Franke A
    BMC Genomics; 2012 Aug; 13():417. PubMed ID: 22913592
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Comparison of Read Mapping and Variant Calling Tools for the Analysis of Plant NGS Data.
    Schilbert HM; Rempel A; Pucker B
    Plants (Basel); 2020 Apr; 9(4):. PubMed ID: 32252268
    [TBL] [Abstract][Full Text] [Related]  

  • 25. VariantMetaCaller: automated fusion of variant calling pipelines for quantitative, precision-based filtering.
    Gézsi A; Bolgár B; Marx P; Sarkozy P; Szalai C; Antal P
    BMC Genomics; 2015 Oct; 16():875. PubMed ID: 26510841
    [TBL] [Abstract][Full Text] [Related]  

  • 26. 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]  

  • 27. 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]  

  • 28. Benchmarking workflows to assess performance and suitability of germline variant calling pipelines in clinical diagnostic assays.
    Krishnan V; Utiramerur S; Ng Z; Datta S; Snyder MP; Ashley EA
    BMC Bioinformatics; 2021 Feb; 22(1):85. PubMed ID: 33627090
    [TBL] [Abstract][Full Text] [Related]  

  • 29. An efficient and tunable parameter to improve variant calling for whole genome and exome sequencing data.
    Ahn YJ; Markkandan K; Baek IP; Mun S; Lee W; Kim HS; Han K
    Genes Genomics; 2018 Jan; 40(1):39-47. PubMed ID: 29892897
    [TBL] [Abstract][Full Text] [Related]  

  • 30. An analytical workflow for accurate variant discovery in highly divergent regions.
    Tian S; Yan H; Neuhauser C; Slager SL
    BMC Genomics; 2016 Sep; 17(1):703. PubMed ID: 27590916
    [TBL] [Abstract][Full Text] [Related]  

  • 31. An optimized GATK4 pipeline for Plasmodium falciparum whole genome sequencing variant calling and analysis.
    Niaré K; Greenhouse B; Bailey JA
    Malar J; 2023 Jul; 22(1):207. PubMed ID: 37420214
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Accuracy and efficiency of germline variant calling pipelines for human genome data.
    Zhao S; Agafonov O; Azab A; Stokowy T; Hovig E
    Sci Rep; 2020 Nov; 10(1):20222. PubMed ID: 33214604
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Evaluating the Calling Performance of a Rare Disease NGS Panel for Single Nucleotide and Copy Number Variants.
    Cacheiro P; Ordóñez-Ugalde A; Quintáns B; Piñeiro-Hermida S; Amigo J; García-Murias M; Pascual-Pascual SI; Grandas F; Arpa J; Carracedo A; Sobrido MJ
    Mol Diagn Ther; 2017 Jun; 21(3):303-313. PubMed ID: 28290094
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Optimized detection of insertions/deletions (INDELs) in whole-exome sequencing data.
    Kim BY; Park JH; Jo HY; Koo SK; Park MH
    PLoS One; 2017; 12(8):e0182272. PubMed ID: 28792971
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Detailed comparison of two popular variant calling packages for exome and targeted exon studies.
    Warden CD; Adamson AW; Neuhausen SL; Wu X
    PeerJ; 2014; 2():e600. PubMed ID: 25289185
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Accelerating BWA-MEM Read Mapping on GPUs.
    Pham M; Tu Y; Lv X
    ICS; 2023 Jun; 2023():155-166. PubMed ID: 37584044
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Short-read aligner performance in germline variant identification.
    Wilton R; Szalay AS
    Bioinformatics; 2023 Aug; 39(8):. PubMed ID: 37527006
    [TBL] [Abstract][Full Text] [Related]  

  • 38. OTG-snpcaller: an optimized pipeline based on TMAP and GATK for SNP calling from ion torrent data.
    Zhu P; He L; Li Y; Huang W; Xi F; Lin L; Zhi Q; Zhang W; Tang YT; Geng C; Lu Z; Xu X
    PLoS One; 2014; 9(5):e97507. PubMed ID: 24824529
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Accelerating next generation sequencing data analysis with system level optimizations.
    Kathiresan N; Temanni R; Almabrazi H; Syed N; Jithesh PV; Al-Ali R
    Sci Rep; 2017 Aug; 7(1):9058. PubMed ID: 28831090
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Comparing a few SNP calling algorithms using low-coverage sequencing data.
    Yu X; Sun S
    BMC Bioinformatics; 2013 Sep; 14():274. PubMed ID: 24044377
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 8.