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 *

115 related articles for article (PubMed ID: 32181821)

  • 1. A blind and independent benchmark study for detecting differeally methylated regions in plants.
    Kreutz C; Can NS; Bruening RS; Meyberg R; Mérai Z; Fernandez-Pozo N; Rensing SA
    Bioinformatics; 2020 Jun; 36(11):3314-3321. PubMed ID: 32181821
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Metrics for evaluating differentially methylated region sets predicted from BS-seq data.
    Peng X; Luo H; Kong X; Wang J
    Brief Bioinform; 2022 Jan; 23(1):. PubMed ID: 34874989
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Calling differentially methylated regions from whole genome bisulphite sequencing with DMRcate.
    Peters TJ; Buckley MJ; Chen Y; Smyth GK; Goodnow CC; Clark SJ
    Nucleic Acids Res; 2021 Nov; 49(19):e109. PubMed ID: 34320181
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Detection of differentially methylated regions in whole genome bisulfite sequencing data using local Getis-Ord statistics.
    Wen Y; Chen F; Zhang Q; Zhuang Y; Li Z
    Bioinformatics; 2016 Nov; 32(22):3396-3404. PubMed ID: 27493194
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Differential methylation analysis for BS-seq data under general experimental design.
    Park Y; Wu H
    Bioinformatics; 2016 May; 32(10):1446-53. PubMed ID: 26819470
    [TBL] [Abstract][Full Text] [Related]  

  • 6. HOME: a histogram based machine learning approach for effective identification of differentially methylated regions.
    Srivastava A; Karpievitch YV; Eichten SR; Borevitz JO; Lister R
    BMC Bioinformatics; 2019 May; 20(1):253. PubMed ID: 31096906
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A comprehensive evaluation of computational tools to identify differential methylation regions using RRBS data.
    Liu Y; Han Y; Zhou L; Pan X; Sun X; Liu Y; Liang M; Qin J; Lu Y; Liu P
    Genomics; 2020 Nov; 112(6):4567-4576. PubMed ID: 32712292
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Defiant: (DMRs: easy, fast, identification and ANnoTation) identifies differentially Methylated regions from iron-deficient rat hippocampus.
    Condon DE; Tran PV; Lien YC; Schug J; Georgieff MK; Simmons RA; Won KJ
    BMC Bioinformatics; 2018 Feb; 19(1):31. PubMed ID: 29402210
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Benchmarking of 4C-seq pipelines based on real and simulated data.
    Walter C; Schuetzmann D; Rosenbauer F; Dugas M
    Bioinformatics; 2019 Dec; 35(23):4938-4945. PubMed ID: 31134276
    [TBL] [Abstract][Full Text] [Related]  

  • 10. seqlm: an MDL based method for identifying differentially methylated regions in high density methylation array data.
    Kolde R; Märtens K; Lokk K; Laur S; Vilo J
    Bioinformatics; 2016 Sep; 32(17):2604-10. PubMed ID: 27187204
    [TBL] [Abstract][Full Text] [Related]  

  • 11. pWGBSSimla: a profile-based whole-genome bisulfite sequencing data simulator incorporating methylation QTLs, allele-specific methylations and differentially methylated regions.
    Chung RH; Kang CY
    Bioinformatics; 2020 Feb; 36(3):660-665. PubMed ID: 31397839
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Redundancy analysis allows improved detection of methylation changes in large genomic regions.
    Ruiz-Arenas C; González JR
    BMC Bioinformatics; 2017 Dec; 18(1):553. PubMed ID: 29237399
    [TBL] [Abstract][Full Text] [Related]  

  • 13. metilene: fast and sensitive calling of differentially methylated regions from bisulfite sequencing data.
    Jühling F; Kretzmer H; Bernhart SH; Otto C; Stadler PF; Hoffmann S
    Genome Res; 2016 Feb; 26(2):256-62. PubMed ID: 26631489
    [TBL] [Abstract][Full Text] [Related]  

  • 14. E-value: a superior alternative to P-value and its adjustments in DNA methylation studies.
    Yang Y; Liu H; Liu Y; Zhou L; Zheng X; Yue R; Mattson DL; Kidambi S; Liang M; Liu P; Pan X
    Brief Bioinform; 2023 Jul; 24(4):. PubMed ID: 37369639
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A comprehensive evaluation of alignment software for reduced representation bisulfite sequencing data.
    Sun X; Han Y; Zhou L; Chen E; Lu B; Liu Y; Pan X; Cowley AW; Liang M; Wu Q; Lu Y; Liu P
    Bioinformatics; 2018 Aug; 34(16):2715-2723. PubMed ID: 29579198
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Effects of Developmental Lead and Phthalate Exposures on DNA Methylation in Adult Mouse Blood, Brain, and Liver: A Focus on Genomic Imprinting by Tissue and Sex.
    Morgan RK; Wang K; Svoboda LK; Rygiel CA; Lalancette C; Cavalcante R; Bartolomei MS; Prasasya R; Neier K; Perera BPU; Jones TR; Colacino JA; Sartor MA; Dolinoy DC
    Environ Health Perspect; 2024 Jun; 132(6):67003. PubMed ID: 38833407
    [TBL] [Abstract][Full Text] [Related]  

  • 17. An integrated package for bisulfite DNA methylation data analysis with Indel-sensitive mapping.
    Zhou Q; Lim JQ; Sung WK; Li G
    BMC Bioinformatics; 2019 Jan; 20(1):47. PubMed ID: 30669962
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Evaluation of efficiency prediction algorithms and development of ensemble model for CRISPR/Cas9 gRNA selection.
    Chen Y; Wang X
    Bioinformatics; 2022 Nov; 38(23):5175-5181. PubMed ID: 36227031
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Detection of differentially methylated regions from bisulfite-seq data by hidden Markov models incorporating genome-wide methylation level distributions.
    Saito Y; Mituyama T
    BMC Genomics; 2015; 16 Suppl 12(Suppl 12):S3. PubMed ID: 26681544
    [TBL] [Abstract][Full Text] [Related]  

  • 20. An optimized algorithm for detecting and annotating regional differential methylation.
    Li S; Garrett-Bakelman FE; Akalin A; Zumbo P; Levine R; To BL; Lewis ID; Brown AL; D'Andrea RJ; Melnick A; Mason CE
    BMC Bioinformatics; 2013; 14 Suppl 5(Suppl 5):S10. PubMed ID: 23735126
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.