InterProScan 5: genome-scale protein function classification

• Published in: Bioinformatics Vol. 30; no. 9; pp. 1236 - 1240
• Main Authors: Jones, Philip, Binns, David, Chang, Hsin-Yu, Fraser, Matthew, Li, Weizhong, McAnulla, Craig, McWilliam, Hamish, Maslen, John, Mitchell, Alex, Nuka, Gift, Pesseat, Sebastien, Quinn, Antony F., Sangrador-Vegas, Amaia, Scheremetjew, Maxim, Yong, Siew-Yit, Lopez, Rodrigo, Hunter, Sarah
• Format: Journal Article
• Language: English
• Published: England Oxford University Press 01.05.2014
• Subjects: Arabidopsis - chemistry; Arabidopsis - genetics; Bioinformatics; Classification; Cluster Analysis; Computer programs; Data processing; Genome; Genomics - methods; High-Throughput Nucleotide Sequencing - methods; Java (programming language); Original Papers; Programming Languages; Proteins; Proteins - analysis; Proteins - genetics; Proteins - metabolism; Software; Software packages

Motivation: Robust large-scale sequence analysis is a major challenge in modern genomic science, where biologists are frequently trying to characterize many millions of sequences. Here, we describe a new Java-based architecture for the widely used protein function prediction software package InterPr...