EmptyBackground: Nucleotide sequences sampled from random background.
In mPloenzke/learnMotifs: Learn Nucleotide Motifs via Convolutions
Description
Usage
Format
Source
Description
A dataset containing nucleotide sequences of length 200 basepairs composed of nucleotides A, C, G, T.
Each sequence is sampled from random genome background with 60
Usage
1
Format
A data frame with 1000 rows and 3 variables:
- seqName
Sequence identifier
- sequence
Nucleotide sequences
- embeddings
Locations and descriptions of embedded motifs.
Source
https://github.com/kundajelab/simdna
mPloenzke/learnMotifs documentation built on May 27, 2019, 11:55 a.m.
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Description Usage Format Source
Description
A dataset containing nucleotide sequences of length 200 basepairs composed of nucleotides A, C, G, T. Each sequence is sampled from random genome background with 60
Usage
1 |
Format
A data frame with 1000 rows and 3 variables:
- seqName
Sequence identifier
- sequence
Nucleotide sequences
- embeddings
Locations and descriptions of embedded motifs.
Source
https://github.com/kundajelab/simdna
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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