On the necessity of dissecting sequence similarity scores into segment-specific contributions for inferring protein homology, function prediction and annotation

• Main Authors: Wong, W.-C, Maurer-Stroh, S, Eisenhaber, B, Eisenhaber, F
• Other Authors: BIOLOGICAL SCIENCES
• Format: Article
• Published: BioMed Central Ltd. 2020
• Subjects: Dissection; Hidden Markov models; Protein domains; Protein function annotation; Protein sequences; Sequence homology; Sequence similarity; Similarity scores; Proteins; protein; amino acid sequence; animal; article; chemistry; computer program; genetics; human; molecular genetics; nucleotide sequence; sequence alignment; sequence homology; Amino Acid Sequence; Animals; Conserved Sequence; Humans; Molecular Sequence Data; Sequence Alignment; Sequence Homology, Amino Acid; Software
• Online Access: https://scholarbank.nus.edu.sg/handle/10635/174303
• Institution: National University of Singapore

10.1186/1471-2105-15-166