Gibbs entropy simulated annealing based Edman firefly optimization for big data protein sequencing-Reference-Cited by-同舟云学术

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Gibbs entropy simulated annealing based Edman firefly optimization for big data protein sequencing

Published:2018-10-29 Issue:4 Volume:32 Page:
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency Computat Pract Exper

Author:

Kalaiselvi B.¹^ORCID,Thangamani M.²

Affiliation:

1. Department of Computer Science and EngineeringMahendra Engineering College for Women Salem India

2. Department of Computer Science and EngineeringKongu Engineering College Erode India

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.5056

Reference27 articles.

1. Prediction of protein‐protein interactions from amino acid sequences using a novel multi‐scale continuous and discontinuous feature set;You Z‐H;BMC Bioinformatics,2014

2. Finding Patterns in Protein Sequences by Using a Hybrid Multiobjective Teaching Learning Based Optimization Algorithm

3. HAlign-II: efficient ultra-large multiple sequence alignment and phylogenetic tree reconstruction with distributed and parallel computing

4. Extracting Coevolutionary Features from Protein Sequences for Predicting Protein-Protein Interactions

5. Visual programming for next‐generation sequencing data analytics;Milicchio F;BioData Min,2016

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