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2,341 to 2,350 of 13,097 Results
capture-lowdepth-dragen39.log
May 5, 2022 - Replication Data for: "epialleleR: an R/BioC package for quantifying and analysing low-frequency DNA methylation"
Plain Text - 33.5 KB - MD5: b2e99870ce6ffaef91eb00024015b283
Performance metrics (elapsed time) of low-depth capture sequencing data analysis
capture-lowdepth-epi-meth-135.txt
May 5, 2022 - Replication Data for: "epialleleR: an R/BioC package for quantifying and analysing low-frequency DNA methylation"
Plain Text - 10.3 KB - MD5: 08b6bdf27e6187da82e5d7c01486aab0
Performance metrics (elapsed time) of low-depth capture sequencing data analysis
GRCh38.p13.NC_000019.10.fasta
May 5, 2022 - Replication Data for: "epialleleR: an R/BioC package for quantifying and analysing low-frequency DNA methylation"
Unknown - 56.7 MB - MD5: 9c21d40784cb90dc3b68a5dd75cc2de0
Genomic sequence of human chromosome 19
hg19ToHg38.over.chain
May 5, 2022 - Replication Data for: "epialleleR: an R/BioC package for quantifying and analysing low-frequency DNA methylation"
Unknown - 592.6 KB - MD5: 9267c9fef79b54962da8efadd0ddf6b6
Human hg19 to human hg38 liftover chain.
idat2beta.R
May 5, 2022 - Replication Data for: "epialleleR: an R/BioC package for quantifying and analysing low-frequency DNA methylation"
R Syntax - 2.5 KB - MD5: cca6332491fe3c5b0203eff3c5c2ccf8
An R script that processes GSE201689 data
minfi.array.data.Rdata
May 5, 2022 - Replication Data for: "epialleleR: an R/BioC package for quantifying and analysing low-frequency DNA methylation"
R Data - 56.0 MB - MD5: 365ba0fbc3d6491677cb890502c56cbb
An R data file containing the following objects: 1. array.ranges: a GRanges object containing beta values for 865859 CpGs across 8 samples from GSE201689 Illumina HumanMethylationEPIC data set (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE201689). 2. array.ids: a character vector of sample IDs.
race.R
May 5, 2022 - Replication Data for: "epialleleR: an R/BioC package for quantifying and analysing low-frequency DNA methylation"
R Syntax - 1.8 KB - MD5: f5b6b82e519826d812a32b75ea856d1b
An R script that compares the processing speed of methods on amplicon- and capture-based sequencing data
race-wgbs.R
May 5, 2022 - Replication Data for: "epialleleR: an R/BioC package for quantifying and analysing low-frequency DNA methylation"
R Syntax - 1.1 KB - MD5: 9493b74f97b6785728130a6dee75b1e9
An R script that compares the processing speed of methods on WGBS data
SamplesTable.txt
May 5, 2022 - Replication Data for: "epialleleR: an R/BioC package for quantifying and analysing low-frequency DNA methylation"
Plain Text - 1.5 KB - MD5: fbff2691fafbfbd27e25a800aa2b37db
Illumina iScan output file. Decription of important columns: 01. Sample ID: short sample identifier 02. Sentrix Barcode: barcode part of the long sample identifier 03. Sample Section: section part of the long sample identifier
simulate.R
May 5, 2022 - Replication Data for: "epialleleR: an R/BioC package for quantifying and analysing low-frequency DNA methylation"
R Syntax - 4.8 KB - MD5: 773ad0ec1b035819eeb266aad7e9adb4
An R script that simulates sequencing reads
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