210 related articles for article (PubMed ID: 29881472)
1. Identifying mislabeled and contaminated DNA methylation microarray data: an extended quality control toolset with examples from GEO.
Heiss JA; Just AC
Clin Epigenetics; 2018; 10():73. PubMed ID: 29881472
[TBL] [Abstract][Full Text] [Related]
2. Improved filtering of DNA methylation microarray data by detection p values and its impact on downstream analyses.
Heiss JA; Just AC
Clin Epigenetics; 2019 Jan; 11(1):15. PubMed ID: 30678737
[TBL] [Abstract][Full Text] [Related]
3. "Gap hunting" to characterize clustered probe signals in Illumina methylation array data.
Andrews SV; Ladd-Acosta C; Feinberg AP; Hansen KD; Fallin MD
Epigenetics Chromatin; 2016; 9():56. PubMed ID: 27980682
[TBL] [Abstract][Full Text] [Related]
4. MethylToSNP: identifying SNPs in Illumina DNA methylation array data.
LaBarre BA; Goncearenco A; Petrykowska HM; Jaratlerdsiri W; Bornman MSR; Hayes VM; Elnitski L
Epigenetics Chromatin; 2019 Dec; 12(1):79. PubMed ID: 31861999
[TBL] [Abstract][Full Text] [Related]
5. Complete pipeline for Infinium(®) Human Methylation 450K BeadChip data processing using subset quantile normalization for accurate DNA methylation estimation.
Touleimat N; Tost J
Epigenomics; 2012 Jun; 4(3):325-41. PubMed ID: 22690668
[TBL] [Abstract][Full Text] [Related]
6. Correlation of Infinium HumanMethylation450K and MethylationEPIC BeadChip arrays in cartilage.
Cheung K; Burgers MJ; Young DA; Cockell S; Reynard LN
Epigenetics; 2020; 15(6-7):594-603. PubMed ID: 31833794
[TBL] [Abstract][Full Text] [Related]
7. Comparison of pre-processing methodologies for Illumina 450k methylation array data in familial analyses.
Cazaly E; Thomson R; Marthick JR; Holloway AF; Charlesworth J; Dickinson JL
Clin Epigenetics; 2016; 8():75. PubMed ID: 27429663
[TBL] [Abstract][Full Text] [Related]
8. MethylAid: visual and interactive quality control of large Illumina 450k datasets.
van Iterson M; Tobi EW; Slieker RC; den Hollander W; Luijk R; Slagboom PE; Heijmans BT
Bioinformatics; 2014 Dec; 30(23):3435-7. PubMed ID: 25147358
[TBL] [Abstract][Full Text] [Related]
9. Single nucleotide polymorphisms on DNA methylation microarrays: precautions against confounding.
Barrow TM; Byun HM
Epigenomics; 2014; 6(6):577-9. PubMed ID: 25531251
[No Abstract] [Full Text] [Related]
10. Discovery of cross-reactive probes and polymorphic CpGs in the Illumina Infinium HumanMethylation450 microarray.
Chen YA; Lemire M; Choufani S; Butcher DT; Grafodatskaya D; Zanke BW; Gallinger S; Hudson TJ; Weksberg R
Epigenetics; 2013 Feb; 8(2):203-9. PubMed ID: 23314698
[TBL] [Abstract][Full Text] [Related]
11. Genome-wide methylation data mirror ancestry information.
Rahmani E; Shenhav L; Schweiger R; Yousefi P; Huen K; Eskenazi B; Eng C; Huntsman S; Hu D; Galanter J; Oh SS; Waldenberger M; Strauch K; Grallert H; Meitinger T; Gieger C; Holland N; Burchard EG; Zaitlen N; Halperin E
Epigenetics Chromatin; 2017; 10():1. PubMed ID: 28149326
[TBL] [Abstract][Full Text] [Related]
12. Preprocessing, normalization and integration of the Illumina HumanMethylationEPIC array with minfi.
Fortin JP; Triche TJ; Hansen KD
Bioinformatics; 2017 Feb; 33(4):558-560. PubMed ID: 28035024
[TBL] [Abstract][Full Text] [Related]
13. CpGFilter: model-based CpG probe filtering with replicates for epigenome-wide association studies.
Chen J; Just AC; Schwartz J; Hou L; Jafari N; Sun Z; Kocher JP; Baccarelli A; Lin X
Bioinformatics; 2016 Feb; 32(3):469-71. PubMed ID: 26449931
[TBL] [Abstract][Full Text] [Related]
14. Impact of SNPs on methylation readouts by Illumina Infinium HumanMethylation450 BeadChip Array: implications for comparative population studies.
Daca-Roszak P; Pfeifer A; Żebracka-Gala J; Rusinek D; Szybińska A; Jarząb B; Witt M; Ziętkiewicz E
BMC Genomics; 2015 Nov; 16():1003. PubMed ID: 26607064
[TBL] [Abstract][Full Text] [Related]
15. Analysis pipelines and packages for Infinium HumanMethylation450 BeadChip (450k) data.
Morris TJ; Beck S
Methods; 2015 Jan; 72():3-8. PubMed ID: 25233806
[TBL] [Abstract][Full Text] [Related]
16. Considerations for normalization of DNA methylation data by Illumina 450K BeadChip assay in population studies.
Yousefi P; Huen K; Aguilar Schall R; Decker A; Elboudwarej E; Quach H; Barcellos L; Holland N
Epigenetics; 2013 Nov; 8(11):1141-52. PubMed ID: 23959097
[TBL] [Abstract][Full Text] [Related]
17. CopyNumber450kCancer: baseline correction for accurate copy number calling from the 450k methylation array.
Marzouka NA; Nordlund J; Bäcklin CL; Lönnerholm G; Syvänen AC; Carlsson Almlöf J
Bioinformatics; 2016 Apr; 32(7):1080-2. PubMed ID: 26553913
[TBL] [Abstract][Full Text] [Related]
18. Comparison of Illumina 450K and EPIC arrays in placental DNA methylation.
Fernandez-Jimenez N; Allard C; Bouchard L; Perron P; Bustamante M; Bilbao JR; Hivert MF
Epigenetics; 2019 Dec; 14(12):1177-1182. PubMed ID: 31250700
[TBL] [Abstract][Full Text] [Related]
19. IMA: an R package for high-throughput analysis of Illumina's 450K Infinium methylation data.
Wang D; Yan L; Hu Q; Sucheston LE; Higgins MJ; Ambrosone CB; Johnson CS; Smiraglia DJ; Liu S
Bioinformatics; 2012 Mar; 28(5):729-30. PubMed ID: 22253290
[TBL] [Abstract][Full Text] [Related]
20. eFORGE v2.0: updated analysis of cell type-specific signal in epigenomic data.
Breeze CE; Reynolds AP; van Dongen J; Dunham I; Lazar J; Neph S; Vierstra J; Bourque G; Teschendorff AE; Stamatoyannopoulos JA; Beck S
Bioinformatics; 2019 Nov; 35(22):4767-4769. PubMed ID: 31161210
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]