Published April 7, 2023
| Version 1.0.0
Dataset
Open
Fibertools: fast and accurate m6A calling using single-molecule long-read sequencing (ML data)
Authors/Creators
- 1. Department of Genome Sciences, University of Washington, Seattle, WA, USA
- 2. Division of Medical Genetics, University of Washington School of Medicine, Seattle, WA, USA
- 3. Department of Statistics, University of Washington, Seattle, WA, USA
- 4. Department of Medical Chemistry, University of Washington, Seattle, WA, USA
- 5. Department of Genome Sciences, University of Washington, Seattle, WA, USA; Paul G. Allen School of Computer Science and Engineering, University of Washington, Seattle, WA, USA
Description
Fibertools is a convolutional neural network that permits the fast and accurate identification of endogenous and exogenous N6-methyladenine (m6A)-marked bases using single-molecule long-read sequencing. This dataset (ML data) provides training and validation data for training fibertools supervised and semi-supervised CNN models for three long-read chemistries.
Files
Files
(10.0 GB)
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md5:c92eca89ba0b914ecc273c148348900f
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10.0 GB | Download |