Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
5.1
3.5
Journals
Genes
Special Issues
Selected Papers from the 16th International Symposium on Bioinformatics Research...
share announcement

Selected Papers from the 16th International Symposium on Bioinformatics Research and Applications (ISBRA)

A special issue of Genes (ISSN 2073-4425). This special issue belongs to the section "Technologies and Resources for Genetics".

Deadline for manuscript submissions: closed (15 March 2021) | Viewed by 2913

Special Issue Editors

Prof. Dr. Fa Zhang

E-Mail Website
Guest Editor
Institute of Computing Technology, Chinese Academy of Sciences Beijing, Beijing 100864, China
Interests: bioinformatics; protein structure prediction; electron tomography; molecules high-performance computing
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Ion Mandoiu

E-Mail Website
Guest Editor
Computer Science and Engineering Department, University of Connecticut, Storrs, CT 06269, USA
Interests: bioinformatics; next-generation sequencing data analysis; metagenomics and metatranscriptomics; computational molecular epidemiology; immunogenomics
Special Issues, Collections and Topics in MDPI journals
Dr. Xuan Guo

E-Mail Website
Guest Editor
Department of Computer Science and Engineering, College of Engineering, University of North Texas, Denton, TX 76203, USA
Interests: machine learning; bioinformatics; cloud computing
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The International Symposium on Bioinformatics Research and Applications (ISBRA) provides a forum for the exchange of ideas and results among researchers, developers, and practitioners working on all aspects of bioinformatics and computational biology and their applications. Submissions presenting original research are solicited in all areas of bioinformatics and computational biology, including the development of experimental or commercial systems. This 16th annual edition will be held in Moscow, Russia, on 1–4 June 2020.

Following WHO advise, the Organizing Committee has agreed to reschedule ISBRA to December 1–4, 2020

ISBRA has been successfully held since 2005. Several famous researchers have joined the conference committees. Excellent speakers from different countries will present their results. For all details, please see https://isbra.confreg.org/.

Prof. Fa Zhang
Prof. Ion Mandoiu
Dr. Xuan Guo
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Genes is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Biomarker discovery
  • High-performance bio-computing
  • Biomedical databases and data integration
  • Metagenomics
  • Biomedical text mining and ontologies
  • Molecular evolution
  • Biomolecular imaging
  • Molecular modelling and simulation
  • Comparative genomics
  • Next-generation sequencing data analysis
  • Computational genetic epidemiology
  • Pattern discovery and classification
  • Computational proteomics
  • Population genetics
  • Data mining and visualization
  • Software tools and applications
  • Gene expression analysis
  • Structural biology
  • Genome analysis
  • Systems biology

Published Papers (1 paper)

Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

14 pages, 1045 KiB  
Article
Detection of Highly Divergent Tandem Repeats in the Rice Genome
by Eugene V. Korotkov, Anastasiya M. Kamionskya and Maria A. Korotkova
Genes 2021, 12(4), 473; https://doi.org/10.3390/genes12040473 - 25 Mar 2021
Cited by 6 | Viewed by 2020
Abstract
Currently, there is a lack of bioinformatics approaches to identify highly divergent tandem repeats (TRs) in eukaryotic genomes. Here, we developed a new mathematical method to search for TRs, which uses a novel algorithm for constructing multiple alignments based on the generation of [...] Read more.
Currently, there is a lack of bioinformatics approaches to identify highly divergent tandem repeats (TRs) in eukaryotic genomes. Here, we developed a new mathematical method to search for TRs, which uses a novel algorithm for constructing multiple alignments based on the generation of random position weight matrices (RPWMs), and applied it to detect TRs of 2 to 50 nucleotides long in the rice genome. The RPWM method could find highly divergent TRs in the presence of insertions or deletions. Comparison of the RPWM algorithm with the other methods of TR identification showed that RPWM could detect TRs in which the average number of base substitutions per nucleotide (x) was between 1.5 and 3.2, whereas T-REKS and TRF methods could not detect divergent TRs with x > 1.5. Applied to the search of TRs in the rice genome, the RPWM method revealed that TRs occupied 5% of the genome and that most of them were 2 and 3 bases long. Using RPWM, we also revealed the correlation of TRs with dispersed repeats and transposons, suggesting that some transposons originated from TRs. Thus, the novel RPWM algorithm is an effective tool to search for highly divergent TRs in the genomes. Full article
(This article belongs to the Special Issue Selected Papers from the 16th International Symposium on Bioinformatics Research and Applications (ISBRA))
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-1
Back to TopTop