SAPPHIRE: a neural network based classifier for σ70 promoter prediction in Pseudomonas
Abstract Background In silico promoter prediction represents an important challenge in bioinformatics as it provides a first-line approach to identifying regulatory elements to support wet-lab experiments. Historically, available promoter prediction software have focused on sigma factor-associated p...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2020-09-01
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| Series: | BMC Bioinformatics |
| Online Access: | http://link.springer.com/article/10.1186/s12859-020-03730-z |