Insights of Bioinformatics

Insights of Bioinformatics

About Journal

Insights of Bioinformatics is an open access, peer reviewed, scholarly journal that publishes theoretical, conceptual and experimental research updates in the interdisciplinary field that develops methods and software tools for understanding biological data. The journal being an interdisciplinary field of science, bioinformatics combines computer science, statistics, mathematics, and engineering to analyze and interpret biological data. The journal encourages manuscripts focusing the application of computer technology to the management of biological information.

Being an interdisciplinary journal, it publishes only selective articles after the stringent peer review processing by experienced peers in the field. The journal is ardent to publish open access articles. Thus all the content published with the journal is freely accessible when properly cited and permanently archived in the journal issues under Creative Commons Attribution License.

This journal brings updated research in the field of bioinformatics that is an easy tool to extract the data from the stored raw biological data in the form of databases.

Editorial Board

Prof. Andrew Kusiak

Mechanical and Industrial Engineering
University of Iowa, Iowa
United States of America
Tel: 319-335-5934

Prof. Daniel A Mercola

Professor of pathology
University of California
Irvine, California
United States of America
Tel: 949-824-1298

Prof. Ken H Young

The University of Texas
Department of Hematopathology
United States of America
Tel: 713-745-2598

Prof. Farid Menaa

Department of Nanomedicine, Oncology and
Stem Cells Fluorotronics
San Diego, California
United States of America

Prof. Donna Lee Hudson

Department of Clinical and Translational Informatics
University of California
United States of America
Tel: 559-499-6671

Prof. Rafael Gonzalez-Alvarez

Department of Medicine
Autonomous University of Guadalajara
Tel: +52-33-1483-7160

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Latest Articles

Research Article

GNUMAP 4.0: Space and Time Efficient NGS Read Mapping Using the FM-Index

In this article, we present GNUMAP (Genomic Next-generation Universal MAPper), a next-generation sequence read mapper, that utilizes a Full-text index... Read more