KusakiDB v1.0: a novel approach for validation and completeness of protein orthologous groups
Ghelfi, A.; Nakamura, Y.; Isobe, S.
Show abstract
Plants have quite a low coverage in the major protein databases despite their roughly 350,000 species. Moreover, the agricultural sector is one of the main categories in bioeconomy. In order to manipulate and/or engineer plant-based products, it is important to understand the essential fabric of an organism, its proteins. Therefore, we created KusakiDB, which is a database of orthologous proteins, in plants, that correlates three major databases, OrthoDB, UniProt and RefSeq. KusakiDB has an orthologs assessment and management tools in order to compare orthologous groups, which can provide insights not only under an evolutionary point of view but also evaluate structural gene prediction quality and completeness among plant species. KusakiDB could be a new approach to reduce error propagation of functional annotation in plant species. Additionally, this method could, potentially, bring to light some orthologs unique to a few species or families that could have evolved at a high evolutionary rate or could have been a result of a horizontal gene transfer. Availability and ImplementationThe software is implemented in R. It is available at http://pgdbjsnp.kazusa.or.jp/app/kusakidb and at https://hub.docker.com/r/ghelfi/kusakidb under the MIT license. Contactandreaghelfi@kazusa.or.jp Supplementary informationSupplementary data are available at Bioinformatics online.
Matching journals
The top 8 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- PubPlant: a continuously updated online resource for sequenced and published plant genomes 95%
- Jack of all trades: genome assembly of Wild Jack and comparative genomics of Artocarpus 93%
- Feature Importance Network reveals novel functional relationships between biological features in Arabidopsis thaliana 93%
Similar papers in this journal
- Comparative Analysis of Small Secreted Peptide Signaling during Defense Response: Insights from Vascular and Non-Vascular Plants 93%
- Gene co-expression networks highlight key nodes associated with Ammonium nitrate in sugarcane 93%
- Two independent loss-of-function mutations in anthocyanidin synthase homeologous genes make sweet basil all green 92%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.