Normalized Feature Vectors: A Novel Alignment-Free Sequence Comparison Method Based on the Numbers of Adjacent Amino Acids
Published 2013 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Normalized Feature Vectors: A Novel Alignment-Free Sequence Comparison Method Based on the Numbers of Adjacent Amino Acids
Authors
Keywords
-
Journal
IEEE-ACM Transactions on Computational Biology and Bioinformatics
Volume 10, Issue 2, Pages 457-467
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Online
2013-02-21
DOI
10.1109/tcbb.2013.10
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- On the edge of web-based multiple sequence alignment services
- (2014) Ken D. Nguyen TSINGHUA SCIENCE AND TECHNOLOGY
- Novel 20-D descriptors of protein sequences and it’s applications in similarity analysis
- (2012) Hong-Jie Yu et al. CHEMICAL PHYSICS LETTERS
- Protein map: An alignment-free sequence comparison method based on various properties of amino acids
- (2011) Chenglong Yu et al. GENE
- Graphical and numerical representations of DNA sequences: statistical aspects of similarity
- (2011) Dorota Bielińska-Wąż JOURNAL OF MATHEMATICAL CHEMISTRY
- A novel graphical representation of proteins and its application
- (2011) Ping-an He et al. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
- Phylogenetic Analysis of Protein Sequences Based on Distribution of Length About Common Substring
- (2011) Guisong Chang et al. PROTEIN JOURNAL
- Predicting protein–protein interactions from protein sequences using meta predictor
- (2010) Jun-Feng Xia et al. AMINO ACIDS
- A Novel method for similarity analysis and protein sub-cellular localization prediction
- (2010) B. Liao et al. BIOINFORMATICS
- Using manifold embedding for assessing and predicting protein interactions from high-throughput experimental data
- (2010) Z.-H. You et al. BIOINFORMATICS
- APIS: accurate prediction of hot spots in protein interfaces by combining protrusion index with solvent accessibility
- (2010) Jun-Feng Xia et al. BMC BIOINFORMATICS
- Graphical Representation of Proteins†
- (2010) Milan Randić et al. CHEMICAL REVIEWS
- The graphical representation of protein sequences based on the physicochemical properties and its applications
- (2010) Ping-An He et al. JOURNAL OF COMPUTATIONAL CHEMISTRY
- 2D-MH: A web-server for generating graphic representation of protein sequences based on the physicochemical properties of their constituent amino acids
- (2010) Zhi-Cheng Wu et al. JOURNAL OF THEORETICAL BIOLOGY
- 3D graphical representation of protein sequences and their statistical characterization
- (2010) Moheb I. Abo el Maaty et al. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
- Genome analysis with inter-nucleotide distances
- (2009) V. Afreixo et al. BIOINFORMATICS
- A 2D graphical representation of protein sequence and its numerical characterization
- (2009) Jia Wen et al. CHEMICAL PHYSICS LETTERS
- Sequence-Based Prediction of Protein-Protein Interactions by Means of Rotation Forest and Autocorrelation Descriptor
- (2009) Jun-Feng Xia et al. PROTEIN AND PEPTIDE LETTERS
- Analysis of similarity/dissimilarity of protein sequences
- (2008) Yu-Hua Yao et al. PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS
- Representation of proteins as walks in 20-D space
- (2008) M. Novič et al. SAR AND QSAR IN ENVIRONMENTAL RESEARCH
Become a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get StartedAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started