ORF prediction
TransDecoder (https://transdecoder.github.io/) was used to predict the open reading frames (ORFs) and translate proteins, and homology searches against pFam and Uniprot databases were performed as supporting evidence for the ORFs. The ORFs with fewer than 30 amino acids were discarded.
Main Authors: | , , , , , |
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Format: | Dataset |
Language: | unknown |
Published: |
Dryad Digital Repository
2017
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Subjects: | |
Online Access: | https://dx.doi.org/10.5061/dryad.9gd3n/8 http://datadryad.org/resource/doi:10.5061/dryad.9gd3n/8 |
Summary: | TransDecoder (https://transdecoder.github.io/) was used to predict the open reading frames (ORFs) and translate proteins, and homology searches against pFam and Uniprot databases were performed as supporting evidence for the ORFs. The ORFs with fewer than 30 amino acids were discarded. |
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