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Status |
Public on Aug 17, 2016 |
Title |
FASTmC: predictive models for non-reference-based estimations of DNA methylation |
Organisms |
Populus trichocarpa; Brassica oleracea; Erythranthe guttata; Sorghum bicolor; Brachypodium distachyon |
Experiment type |
Methylation profiling by high throughput sequencing
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Summary |
We describe a suite of predictive models, coined FASTmC, for non-reference, cost-effective exploration and comparative analysis of context-specific DNA methylation levels. Accurate estimations of true DNA methylation levels can be obtained from as few as several thousand short-reads generated from whole genome bisulfite sequencing. Our models make high-resolution time course or developmental, and large diversity studies practical regardless of species, genome size and availability of a reference genome.
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Overall design |
MethylC-Seq data collected from genomic DNA extracted from leaf tissue.
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Contributor(s) |
Schmitz RJ |
Citation(s) |
26681520 |
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Submission date |
Aug 18, 2015 |
Last update date |
May 15, 2019 |
Contact name |
Adam James Bewick |
E-mail(s) |
bewickaj@uga.edu
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Organization name |
University of Georgia
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Department |
Genetics
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Lab |
Schmitz
|
Street address |
120 East Green Street
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City |
Athens |
State/province |
GA |
ZIP/Postal code |
30605 |
Country |
USA |
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Platforms (5)
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GPL16360 |
Illumina HiSeq 2000 (Brassica oleracea) |
GPL17337 |
Illumina HiSeq 2000 (Brachypodium distachyon) |
GPL17415 |
Illumina HiSeq 2000 (Populus trichocarpa) |
GPL20816 |
Illumina HiSeq 2000 (Erythranthe guttata) |
GPL20818 |
Illumina HiSeq 2000 (Sorghum bicolor) |
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Samples (5)
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Relations |
BioProject |
PRJNA293211 |
SRA |
SRP062556 |