Introduction

Complex Biological Data collection, storing, analysis, interpretation, and presentation is an important aspect of biological research. Scientists in the field of Bioinformatics and Computational biology make critical contributions to disease detection, drug design, forensics, agriculture, and environmental sciences through the combination of biological analysis and high-performance computing.
This certificate provides a solid foundation in computational skills relevant to bioinformatics and computational biology, which life science professionals and researchers deemed necessary for their research and professional growth.

Completing a Certificate Course in Computational Biology offers numerous benefits to participants, including:

  1. Enhanced Skill Set:
    • Technical Proficiency: Gain expertise in computational tools and techniques used in biological research.
    • Data Analysis & Programming Skills: Learn to analyze and interpret large biological datasets, including genomic, proteomic, and metabolomics data also hand-on experience in R and Linux.
  2. Career Advancement:
    • Job Opportunities: Open doors to careers in biotechnology, pharmaceuticals, healthcare, and academic research.
    • Professional Development: Enhance qualifications for roles such as bioinformatician, computational biologist, data scientist, and research scientist.
  3. Research Capabilities:
    • Innovative Research: Gain skills to conduct innovative research in genomics, systems biology, structural biology, and more.
    • Publication Potential: Increase the likelihood of publishing research findings in reputable scientific journals.
  4. Practical Experience:
    • Direct Training: Gain practical experience through lab work, projects, and real-world applications.
    • Project Portfolio: Develop a portfolio of projects that demonstrate expertise and problem-solving abilities.

These benefits collectively contribute to the professional and personal growth of participants, making them valuable assets in the field of computational biology and beyond.

In coming month few more online workshops are planned focusing on

  • Microarray data analysis,
  • Protein structure prediction validation
  • Protein characterization using in-silico methods
  • Linux for biologist
  • Protein visualization software
  • Protein-protein interaction

After the completion of this course

  • Participants will be able to deal with web-based genomic databases.
  • Participants will be able to understand basic concepts in the field of computational biology.
  • They will be able to analyze biological data and interpret it in proper scientific way.
  • This course will reinforce and strengthen their previous credentials
  • They will be able to propose ideas and research projects for their higher studies. Apply this knowledge to initiatives include areas such as human genome analysis, disease research, and drug discovery and development.
  • Through this professional graduate certificate, you will collaborate with peers in the fields of medical science and research, genetics, molecular and cellular biology, molecular medicine, bioscience, biotechnology
Students, working professional, Experienced Scientists /Research fellows (Universities & other R&D institutions) with specialization in Biotechnology, Botany, Zoology, Biochemistry, Microbiology, Genetics, Bioinformatics, Biomedical sciences, Chemistry, Pharmaceutical Sciences, Computational biology, computational chemistry, Molecular Biology, Cell Biology, and other life science areas are suitable for this training.

Course content

This certificate course is comprising of 4 modules

1.      Basic Computational Biology (6-hours) (Module 1)

2.      Advance Computational Biology (08-hours) (Module 2)

3.      Basic in R-Programming, Linux Basis and NGS data analysis (12-hours) ((Module 3)

4.      Molecular Docking, Virtual Screening & Protein Interaction Network (6-hours) (Module 4)

 

Assessment

Participant competency will be assessed on MCQs based exam. 50% score is required to pass the exam.

Passing the exam is mandatory for the training Certificate.

Dates

Starting from 19th Aug 2024

Last Date to Apply: 18th September 2024

Duration & Time

Eight weeks (4 hours/Week – Total 32 hours)

Thursday (1 pm to 5 pm)

Fees

10000 PKR for Students

15000 PKR for Professionals

Registration Link

Click on link https://forms.gle/CVrDcML2WQGYhfBh6

Contact

Email

biit@baqai.edu.pk           

Phone & WhatsApp

0332-2799327

0333-2344837

Website

www.biit.baqai.edu.pk

 

Payment Methods

Easy Paisa on 0332-2799327
Venue: III-B-3/17, Nazimabad Karachi, Behind Baqai Hospital Nazimabad
Furrukh Zaman (Associate Professor & Director BIIT)
  • Khalida Naveed – Assistant Professor (BIIT)
  • Asad Shamim – Junior Lecturer (BIIT)
  • Abdul Rafay Khan – Senior Research Officer (SIUT)
Address III-B-3/17, Nazimabad Karachi, Behind Baqai Hospital Nazimabad
Email Address biit@baqai.edu.pk
Phone Number 0332-2799327
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