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|Course name||Applied Bioinformatics|
|Description||This Applied Bioinformatics course aims to introduce advanced theoretical knowledge and computational skills and apply them to help solve real-life biological problems. The course will equip participants with the computational skills and awareness needed to analyse datasets on transcriptomics, cancer genomics, viral, immuno and vaccine informatics.|
|Who should attend||Anyone with a basic background in bioinformatics.|
|Course name||Perl, Shell and Linux OS for data analysis|
|Description||This course is intended to serve as an introductory and hands-on practice for biologist to acquire practical bioinformatics programming skills. Its goal is two-fold: it teaches fundamental programming skills and applies them to interesting biological scenario. This course will be conducted using shell scripting and basic Perl language, emphasizing on the integration of programming language to facilitate the development of scripts for bioinformatics applications.|
|Who should attend||Anyone who is interested in developing basic computing skills.|
|Course name||Computer Programming in Bioinformatics|
|Description||This course will develop students’ programming competency by focusing on concepts of programming language and its application to problem solving in Bioinformatics. This course will introduce students to the basic of computer programming using the Python language. This will help students establish good programming practices from the beginning that will go a long way in improving their programming skills.|
|Who should attend||Anyone who is interested in developing basic computer programming skills for problem solving in Bioinformatics.|
|Course name||Essential Topics in Bioinformatics|
|Description||This course will cover essential or basic topics in bioinformatics to lay out a foundation for the students before they embark on more advanced courses. The expected outcome end of this course is that students will have a good understanding of what bioinformatics is and appreciate its pivotal role in interdisciplinary research.|
|Who should attend||Anyone who wants an introduction to the world of bioinformatics.|
|Course name||Genome Informatics (NGS Analysis)|
|Description||Genome Informatics course will focus on large-scale approaches to understanding the structure and biology of genomes. The explosion of genomic data requires biologists to increase the scale and sophistication of the information technology used for their research. The course scope encompasses a wide range of methods for the analysis of these data, including a focus on technologies such as handling NGS data, genome assembly, comparative genomics, and metagenomics, applied to very large genomic data sets.|
|Who should attend||Anyone who wants an introduction to the world of genomics.|
|Course name||High-throughput and Ensemble-based Screening for Drug Discovery|
|Description||This course emphasis heavily on hands-on. The student will cover techniques on the set-up of in silico high-throughput screening using a computational approach. The student will also expose to how to conduct and apply ensemble-based screening from a designated case study.|
|Who should attend||This is an advanced course for the student who already understands basic on docking and molecular dynamics. simulation.|
|Course name||Membrane Protein Simulation|
|Description||This course will cover topics in the lipid bilayer, homology modelling of membrane protein and membrane protein simulation using GROMACS. At the end of this course, students establish a good understanding of the membrane protein simulation and obtain basic skills in membrane protein simulation.|
|Who should attend||Anyone who is interested in membrane protein modelling and dynamics simulation.|
|Course name||Modelling and Simulation of Gene Expression and Metabolism|
|Description||Metabolic engineering and synthetic biology are important fields of study to produce biologics, which includes fine chemicals such as fragrances and medical precursors. Integral to this is the use of mathematical modelling and simulation to identify genes to overexpress and/or knockdown to increase yield or to reduce the burden on central metabolism. This course will cover mathematical modelling techniques in gene expression and metabolism. At the end of the course, students will be able to model gene expression and metabolism and simulate the model to identify key enzymes to target.|
|Who should attend||Anyone interested in in silico analysis of gene expression and metabolism.|
|Course name||Molecular Dynamics and Simulation|
|Description||This course will cover fundamentals and essential topics in molecular simulation. At the end of this course, students are expected to comprehend principles and concepts in molecular simulations. Students are also expected to perform and discover the benefit to perform molecular dynamics simulations.|
|Who should attend||Anyone who wants to know about molecular simulations and perform molecular dynamics simulation.|
|Course name||Molecular Mechanics and Docking|
|Description||This course will cover fundamentals and essential topics in molecular modelling. At the end of the course, students are expected to demonstrate their understanding in various aspects of molecular modelling. Students are also expected to perform and analyze molecular docking studies.|
|Who should attend||Anyone who wants to learn about various topics in molecular modelling and perform molecular docking studies.|
|Course name||R for Practical Data Analysis|
|Description||This course will cover the basics of R, which is currently the most widely used statistical computing environment in the world. A the end of this course, students are expected to be able to use R to process data, prepare summary statistics, and create figures for supporting data analysis work.|
|Who should attend||Anyone who is interested in developing basic R skills to analyse their own data.|
|Course name||Structural Bioinformatics and Molecular Modelling|
|Description||This course will cover fundamentals and essential topics in structural bioinformatics before embarking on more advanced courses. At the end of this course, students are expected to show a good understanding of what structural bioinformatics is and make use of their computational protein structure prediction skills.|
|Who should attend||Anyone who is interested in structural bioinformatics and learn to predict three dimensional (3D) protein structure using computational methods.|
*For each topic in each course, we will dedicate two-hours of lecture, followed by 1 hour of practical.
There’s an additional one hour optional consultation session on the weekend to discuss the problems that the participants may have experienced when doing the practical.
(Jan – Feb)
(Apr – May)
(Jul – Aug)
(Oct – Nov)
|Essential Topics in Bioinformatics||
|Structural Bioinformatics and Molecular Modelling|
|Molecular Mechanics and Docking|
|Membrane Protein Simulation|
|R for Practical Data Analysis||
|Genome Informatics (NGS Analysis)|
|Perl, Shell and Linux OS for data analysis||
|Molecular Dynamics and Simulation|
|Computer Programming in Bioinformatics||
|High-throughput and Ensemble-based Screening for Drug Discovery|
|Modelling and Simulation of Gene Expression and Metabolism||
|Category||Rate (MYR) per course|
|Student||1,000 (Except for Essential Topics in Bioinformatics: 1,500)|
|Academic||1,500 (Except for Essential Topics in Bioinformatics: 2,000)|
|Corporate||2,000 (Except for Essential Topics in Bioinformatics: 2,500)|
IT Lab 4, Block B, MAEPS Building, MARDI Complex
Jalan MAEPS Perdana, 43400 Serdang
The number of hours are as below and are the same for each course:
No. of face-to-face hours per course = 8 topics x 4 hours = 32 hours
No. of self-study hours per course = 8 topics x 6 hours = 48 hours
Total hours per course = 80 hours (over a period of two months)
For each topic of each course, we will conduct a two-hour lecture session (6.30-7.30pm, with dinner/prayer break from 7.30-8.00pm, and continuation of lecture from 8.00-9.00pm) on the designated course day (see Table in Query #1 above), followed by an hour of practical on the same day. The students are to use the remaining weekdays for completion of the practical and self-study. An additional one hour (optional) consultation session will be conducted every Saturday (a time convenient for the students to be finalised on the first day of class) to discuss any problems that the students may have encountered during the practical or other questions related to the practical/lecture.
Example: All the topics of course 1 will be taught on Mondays. For each topic, the class will start with a two-hour lecture, followed by one hour practical. Students then spend the remaining weekdays to complete the practical and do a self-study on the lecture material covered. The students will meet the instructor again on Saturdays for an hour of consultation on the practical/lecture or other related questions.
Yes, a certificate of participation will be given to each participant of the course.
Maximum of 20 participants.
Registrations are open till a day before the start of the intake month (e.g. last day of Feb for March intake). However, registrations are on a first-come, first-served basis and will be closed if the maximum number of participants is reached.
We can make arrangements for this if a request is made earlier. Also, it would be preferred if the students travelled together, so multiple trips can be avoided. Alternatively, public transports are convenient and the students can opt for KLIA Ekspres, bus or budget taxi to reach their accommodation place.
The cost is estimated to be between RM375 and RM500 per month depending on the size of the bedroom. Please contact Student Services Department for more information.