A novel alignment-free vector method to cluster protein sequences-Reference-Cited by-同舟云学术

A novel alignment-free vector method to cluster protein sequences

Published:2017-08 Issue: Volume:427 Page:41-52
ISSN:0022-5193
Container-title:Journal of Theoretical Biology
language:en
Short-container-title:Journal of Theoretical Biology

Author:

He Lily,Li Yongkun,He Rong Lucy,Yau Stephen S.-T.

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Applied Mathematics,General Agricultural and Biological Sciences,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,Modelling and Simulation,General Medicine,Statistics and Probability

Reference67 articles.

1. Average values of a dissimilarity measure not requiring sequence alignment are twice the averages of conventional mismatch counts requiring sequence alignment for a computer-generated model system;Blaisdell;J. Mol. Evol.,1989

2. Propy: a tool to generate various modes of chou’s pseaac;Cao;Bioinformatics,2013

3. Iacp: a sequence-based tool for identifying anticancer peptides;Chen;Oncotarget,2016

4. Irna-ai: identifying the adenosine to inosine editing sites in rna sequences;Chen;Oncotarget,2017

5. Pseknc: a flexible web server for generating pseudo k-tuple nucleotide composition;Chen;Anal. Biochem.,2014

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Novel Fast Approach for Protein Classification and Evolutionary Analysis;Match Communications in Mathematical and in Computer Chemistry;2023-04

2. Integration of In Silico and In Vitro Analysis of Gliotoxin Production Reveals a Narrow Range of Producing Fungal Species;Journal of Fungi;2022-03-31

3. J2 *: A New Method for Alignment-free Sequence Similarity Measurement;2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM);2020-12-16

4. Phylogenetic analysis of protein sequences based on a novel k-mer natural vector method;Genomics;2019-12

5. An alignment-free measure based on physicochemical properties of amino acids for protein sequence comparison;Computational Biology and Chemistry;2019-06