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Computational Biology

This course provides an introduction to computational biology and allows its followers to understand and analyse large biological datasets.


Starts 29th May 2024

About This Course

This is an entry-level course in computational biology. It covers the algorithms and machine learning methods to analyse biological data. It also covers the recent topics in computational biology and the currently available biological datasets. The course specifically focuses on genomics and genome evolution. In this manner, you will be introduced to the bioinformatic algorithms for analysing genomic datasets.

Who Is This Course For

The course is designed for participants in their Undergraduate/Postgraduate degree. It’s preferable that participants should have a basic background in any programming language such as Python/R, and/or Bash.

What you'll learn

  • Genome sequence analysis, hidden Markov models ‘HMM’, gene finding algorithms, comparative genomics approaches, RNA sequence analysis, and genome/sequence alignment algorithms
  • Clustering analysis, motif finding, Bayesian networks, small RNAs, microRNAs, regulatory networks
  • Phylogenomics, comparative population genomics, GWAS, and ancestral genomics
  • Basic programming skills such as command line usage and building pipelines

Course Content

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Meet Your Instructor

Dr. Hesham Gibriel

Ph.D. in Bioinformatics and Comparative Genomics from the University of Wageningen, The Netherlands. Experienced in Bioinformatics, Comparative Genomics, Comparative Patho-Genomics, Evolutionary Genomics, Host-Microbe Interaction, and Next-Generation-Sequencing (NGS).

Our Partners

We are proud to partner with the leading In2scienceUK as a step towards achieving our mission of imparting quality education and knowledge across the globe.

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Usually, there are no general prerequisites when enrolling for any individual courses on cbehx.co.uk. However, some courses are certainly more advanced than others that are of introductory and intermediate level. For advanced-level courses, prior knowledge on the topic will be helpful for understanding complex concepts but not mandatory.

The relevant information about the suggested knowledge and background that might be helpful to follow each course is provided on the respective course registration page.

Yes, the courses are flexible and self-paced to suit your schedule. The term “self-paced” implies that the courses do not follow a pre-assigned schedule for learning within the course duration. You will be able to access all the course materials for each course that you have enrolled in as soon as the course begins.

The course completion certificate is CPD accredited. For more informations please visit https://cpduk.co.uk