期刊
BIOINFORMATICS
卷 32, 期 8, 页码 1211-1213出版社
OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btv735
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资金
- NIH [R01GM106056, R01HG003008, U01GM103804]
- NSF [MCB-1413539]
- Div Of Molecular and Cellular Bioscience
- Direct For Biological Sciences [1413539] Funding Source: National Science Foundation
A Summary: DNAshapeR predicts DNA shape features in an ultra-fast, high-throughput manner from genomic sequencing data. The package takes either nucleotide sequence or genomic coordinates as input and generates various graphical representations for visualization and further analysis. DNAshapeR further encodes DNA sequence and shape features as user-defined combinations of k-mer and DNA shape features. The resulting feature matrices can be readily used as input of various machine learning software packages for further modeling studies.
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