| Literature DB >> 31513576 |
Qanita Bani Baker1, Maryam S Nuser1,2.
Abstract
Bioinformatics plays a key role in supporting the life sciences. In this work, we examine bioinformatics in Jordan, beginning with the current status of bioinformatics education and research, then exploring the challenges of advancing bioinformatics, and finally looking to the future for how Jordanian bioinformatics research may develop.Entities:
Mesh:
Year: 2019 PMID: 31513576 PMCID: PMC6742231 DOI: 10.1371/journal.pcbi.1007202
Source DB: PubMed Journal: PLoS Comput Biol ISSN: 1553-734X Impact factor: 4.475
The distribution of bioinformatics courses within different departments in Jordanian universities.
| Course Name | Department | University | Course Content Summary |
|---|---|---|---|
| Bioinformatics | Department of Horticulture and Crop Science | UJ | Basic molecular biology. Biological diversity. Sequence manipulation: gene identification, homology searching, alignment, PSI-BLAST. Phylogenetic analysis. Protein structure: acquisition, prediction, analysis of function. |
| Biocomputing | Department of Biotechnology and Genetic Engineering | JUST | Introduction to biotechnology databases such as GenBank/DDBJ/EMBL, OMIM, PubMed, PDB, Enzymes, and SwissProt. Analyze DNA, RNA, and protein sequences. Similarity search. Predict genes and protein secondary structures multiple sequence alignments and phylogenetic trees. Lasergene software package. |
| Fundamentals of Bioinformatics | Computer Science | JUST | Overview of bioinformatics with a significant problem-solving component, including hands-on practice using computational tools to solve a variety of biological problems. Topics include database searching, sequence alignment, gene prediction, RNA and protein structure prediction, comparative and functional genomics, and construction of phylogenetic trees. |
| Advanced Bioinformatics | Computer Science | JUST | Introduction to bioinformatics, bioimage informatics, multiscale modeling, sequence alignment and multiple alignments, motif finding, big data analytics in bioinformatics, high-performance computing for bioinformatics, and machine learning in bioinformatics. |
| Bioinformatics | Biomedical Engineering | JUST | An interdisciplinary effort between molecular biology and computer science aimed at extracting the relevant biological information from the genome and overview of data mining, data analysis, and computational methods of DNA, RNA, and proteins, as well as major applications and research areas. |
| Bioinformatics I | Biomedical Systems and Informatics Engineering | YU | Introduction to bioinformatics and organizing and maintaining a large volume of genomic data. Genome sequencing projects, proteomics, and gene-expression studies. Principles and simulation methodologies for the integration of genomic and physiological data in the analysis of complex biological processes and for diagnostic matters. |
| Bioinformatics Lab | Biomedical Systems and Informatics Engineering | YU | This is a lab that emphasizes the hands-on application of bioinformatics methods to biological problems: sequence alignment, fast database search, profiles and motifs, comparative genomics, gene finding, phylogenetic trees, protein structure, functional characterization of proteins, expression analysis, and computational proteomics. |
| Bioinformatics II | Biomedical Systems and Informatics Engineering | YU | Apply fundamental bioinformatics methods to analyze protein sequence and structure data, genomic DNA sequence, and gene-expression data. Interpret and evaluate results of key bioinformatics analyses; system biology focusing on the development of models on molecular and tissue level. Design effective strategies for application of bioinformatics methods and combine fundamental methods into multipart strategies for addressing complex problems. |
| Computational Biology | Biomedical Systems and Informatics Engineering | YU | Modeling and analysis of biological systems. The multiscale modeling of biological systems, modeling strategies. Compartmental models of physiologic systems. Cellular models, organ models, systems models. Methods and tools for identification. Analysis of molecular biology databases, sequence analysis, modeling of regulatory networks and metabolic pathways. |
| Introduction to bioinformatics | Computer Science | GJU | Introduction to bioinformatics: principles, concepts, methods, and strategies to transform and process the masses of information from biological experiments; DNA and protein sequence alignment and analysis; database searching; RNA folding. |
| Bioinformatics | Biotechnology and Genetic Engineering | PU | Biological databases, sequence alignment, molecular phylogeny, and human genome. |
Abbreviations: DDBJ, DNA Data Bank of Japan; EMBL, European Molecular Biology Laboratory; GJU, German Jordanian University; JUST, Jordan University of Science and Technology; OMIM, Online Mendelian Inheritance in Man; PDB, Protein Data Bank; PSI-BLAST, Position-Specific Iterative Basic Local Alignment Search Tool; PU, Philadelphia University; UJ, The University of Jordan; YU, Yarmouk University.
Fig 1Bioinformatics-related publications authored by scientists affiliated with Jordanian institutions.
The results show the number of hits obtained in a search of the Scopus database using the terms “next-generation sequencing,” “computational biology,” “bioinformatics,” “genomic,” and “in silico”.
Fig 2Bioinformatics-related publications authored by scientists affiliated with Jordanian institutions compared to publications authored by scientists affiliated with Lebanon, Egypt, and Iraq.
The PubMed (a) and the Scopus (b) databases were searched, and the hits were sorted into categories of publications from scientists affiliated with these four Arab countries.
Fig 3Bioinformatics-related publications compared with biomedical-related publications authored by scientists affiliated with Jordanian institutions between 2004 and 2018.