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1,351 to 1,360 of 2,727 Results
capture-highdepth-bismark.time
May 5, 2022 - Replication Data for: "epialleleR: an R/BioC package for quantifying and analysing low-frequency DNA methylation"
Unknown - 203 B - MD5: ae95783cba8737279535e02405b38a46
Performance metrics (elapsed time) of high-depth capture sequencing data analysis
capture-lowdepth-bismark.time
May 5, 2022 - Replication Data for: "epialleleR: an R/BioC package for quantifying and analysing low-frequency DNA methylation"
Unknown - 640 B - MD5: 9b5d3bfb7e6e6fc01e11da48a9eb70fb
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.
stats.table
May 5, 2022 - Replication Data for: "epialleleR: an R/BioC package for quantifying and analysing low-frequency DNA methylation"
Unknown - 4.4 KB - MD5: 353886cc19aa3476617e702df3b82ad3
Detailed performance metrics obtained using simulated data. Decription of columns: 01. sample: sample name 02. method: methylation reporting method 03. chh.v: number of valid bases in CHH context 04. chh.nv: number of invalid bases in CHH context 05. chh.ncov: number of not covered bases in CHH context 06. chh.mcov: mean c...
ts8168_decimated.fbx
Apr 7, 2022 - High resolution 3D-scan of the runestone from Ervik (Ts. 8168), Harstad municipality
Unknown - 71.6 MB - MD5: e3c1d44f90d5fd49c86de64c5ca39aea
Decimated 3D-model in *.fbx (Filmbox) format. This is the same model as the decimated obj.-file and is merely provided for convenience (size).
easy.npz
Mar 30, 2022 - Benchmark dataset for graph classification
Unknown - 21.6 MB - MD5: 5746717f598a39097f7069863aa03846
easy_small.npz
Mar 30, 2022 - Benchmark dataset for graph classification
Unknown - 1.4 MB - MD5: 5997ea96eb62e41687f77af999fb5547
hard.npz
Mar 30, 2022 - Benchmark dataset for graph classification
Unknown - 16.1 MB - MD5: 641dd98f04cf4b4f5d4ba6f18a9ad189
hard_small.npz
Mar 30, 2022 - Benchmark dataset for graph classification
Unknown - 1.1 MB - MD5: ee8c5898da28515e6d65b39cf4f31172
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