BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

140 related articles for article (PubMed ID: 29658778)

  • 1. ShRangeSim: Simulation of Single Nucleotide Polymorphism Clusters in Next-Generation Sequencing Data.
    Boenn M
    J Comput Biol; 2018 Jun; 25(6):613-622. PubMed ID: 29658778
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Review of alignment and SNP calling algorithms for next-generation sequencing data.
    Mielczarek M; Szyda J
    J Appl Genet; 2016 Feb; 57(1):71-9. PubMed ID: 26055432
    [TBL] [Abstract][Full Text] [Related]  

  • 3. NGS_SNPAnalyzer: a desktop software supporting genome projects by identifying and visualizing sequence variations from next-generation sequencing data.
    Lee DJ; Kwon T; Kim CK; Seol YJ; Park DS; Lee TH; Ahn BO
    Genes Genomics; 2020 Nov; 42(11):1311-1317. PubMed ID: 32980993
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Genome-Wide SNP Calling from Genotyping by Sequencing (GBS) Data: A Comparison of Seven Pipelines and Two Sequencing Technologies.
    Torkamaneh D; Laroche J; Belzile F
    PLoS One; 2016; 11(8):e0161333. PubMed ID: 27547936
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. Comparison of seven SNP calling pipelines for the next-generation sequencing data of chickens.
    Liu J; Shen Q; Bao H
    PLoS One; 2022; 17(1):e0262574. PubMed ID: 35100292
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Pipeliner: software to evaluate the performance of bioinformatics pipelines for next-generation resequencing.
    Nevado B; Perez-Enciso M
    Mol Ecol Resour; 2015 Jan; 15(1):99-106. PubMed ID: 24890372
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A comparison of tools for the simulation of genomic next-generation sequencing data.
    Escalona M; Rocha S; Posada D
    Nat Rev Genet; 2016 Aug; 17(8):459-69. PubMed ID: 27320129
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Bioinformatics: identification of markers from next-generation sequence data.
    Ruperao P; Edwards D
    Methods Mol Biol; 2015; 1245():29-47. PubMed ID: 25373747
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Bioinformatics Data Analysis of Next-Generation Sequencing Data from Heterogeneous Tumor Samples.
    Landman SR; Hwang TH
    Methods Mol Biol; 2017; 1633():185-192. PubMed ID: 28735488
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Hidden Markov Models in Bioinformatics: SNV Inference from Next Generation Sequence.
    Bian J; Zhou X
    Methods Mol Biol; 2017; 1552():123-133. PubMed ID: 28224495
    [TBL] [Abstract][Full Text] [Related]  

  • 12. SimBA: A methodology and tools for evaluating the performance of RNA-Seq bioinformatic pipelines.
    Audoux J; Salson M; Grosset CF; Beaumeunier S; Holder JM; Commes T; Philippe N
    BMC Bioinformatics; 2017 Sep; 18(1):428. PubMed ID: 28969586
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Heap: a highly sensitive and accurate SNP detection tool for low-coverage high-throughput sequencing data.
    Kobayashi M; Ohyanagi H; Takanashi H; Asano S; Kudo T; Kajiya-Kanegae H; Nagano AJ; Tainaka H; Tokunaga T; Sazuka T; Iwata H; Tsutsumi N; Yano K
    DNA Res; 2017 Aug; 24(4):397-405. PubMed ID: 28498906
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Pharmacogenetics: Role of Single Nucleotide Polymorphisms.
    Yucesan E; Ozten N
    Methods Mol Biol; 2019; 2054():137-145. PubMed ID: 31482453
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Modeling of shotgun sequencing of DNA plasmids using experimental and theoretical approaches.
    Shityakov S; Bencurova E; Förster C; Dandekar T
    BMC Bioinformatics; 2020 Apr; 21(1):132. PubMed ID: 32245400
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Mining SNPs from DNA sequence data; computational approaches to SNP discovery and analysis.
    van Oeveren J; Janssen A
    Methods Mol Biol; 2009; 578():73-91. PubMed ID: 19768587
    [TBL] [Abstract][Full Text] [Related]  

  • 17. BM-SNP: A Bayesian Model for SNP Calling Using High Throughput Sequencing Data.
    Xu Y; Zheng X; Yuan Y; Estecio MR; Issa JP; Qiu P; Ji Y; Liang S
    IEEE/ACM Trans Comput Biol Bioinform; 2014; 11(6):1038-44. PubMed ID: 26357041
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Next-generation sequencing technologies and fragment assembly algorithms.
    Lee H; Tang H
    Methods Mol Biol; 2012; 855():155-74. PubMed ID: 22407708
    [TBL] [Abstract][Full Text] [Related]  

  • 19. ASEQ: fast allele-specific studies from next-generation sequencing data.
    Romanel A; Lago S; Prandi D; Sboner A; Demichelis F
    BMC Med Genomics; 2015 Mar; 8():9. PubMed ID: 25889339
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A Fast and Scalable Workflow for SNPs Detection in Genome Sequences Using Hadoop Map-Reduce.
    Tahir M; Sardaraz M
    Genes (Basel); 2020 Feb; 11(2):. PubMed ID: 32033366
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.