ViCTree: an automated framework for taxonomic classification from protein sequences

• Published in: Bioinformatics Vol. 34; no. 13; pp. 2195 - 2200
• Main Authors: Modha, Sejal, Thanki, Anil S, Cotmore, Susan F, Davison, Andrew J, Hughes, Joseph
• Format: Journal Article
• Language: English
• Published: England Oxford University Press 01.07.2018
• Subjects: Amino Acid Sequence; Databases, Factual; Original Papers; Phylogeny; Sequence Analysis, Protein - methods; Software; Viral Proteins - chemistry; Viral Proteins - genetics; Viral Proteins - metabolism; Viruses - genetics; Viruses - metabolism

Abstract Motivation The increasing rate of submission of genetic sequences into public databases is providing a growing resource for classifying the organisms that these sequences represent. To aid viral classification, we have developed ViCTree, which automatically integrates the relevant sets of s...