Professional Training for Bioinformatics
Starting from: 1st February
2 Months Course
Course 2: Introduction to Bioinformatics (For Industrial professionals)
Course Description:
Bioinformatics combines computer programming, big data, and biology to help scientists understand
and identify patterns in biological data. It is particularly useful in studying genomes and DNA sequencing, as it allows scientists to organize large amounts of data. The bioinformatics software’s and tools have helped in drug discovery as they help in understanding protein-protein, protein-ligand and various other interactions. This course will help in complete understanding and application of Bioinformatics software and databases to meet the modern-day needs.
Key Points:
• Analysis of Biological Data
• Working with Genome and online available data
• Protein and RNA 3D structure
• Sequence Alignment
• Hands of practice of multiple bioinformatics tools
Trainer Introduction
Mr. Zeeshan Ahmed is currently working as Junior Scientist of Biotechnology at Green
Biotec UG Bremen, Germany since May 2022. Previously, he was a Research Officer/Teaching
Assistant at Government College University, Lahore Pakistan and also worked as a
researcher at Food and Biotechnology Research center at Pakistan Council of Scientific and
industrial research. He has 11 international publications with 51+ impact factor and have
expertise in biotechnology techniques like gene cloning, fermentation technology,
Immunology, Research methadology, Bioinformatics, Molecular diagnostics, Antibodies
development, Antivirals. Virology, Microbial genetics, Recombinant DNA technology,
Biosafety and Bioethics, Bioremediation, Immunoassays, Tissue culture, Media optiization,
cultivated meat production, Development of protein based downstream and cost estimation
of upstream processing, Cell engineering (e.g genetic enginnering of bacteria, yeat and
eukaryotic cells) for recombinant proteins production, microbiology, protein purification,
and Cloning of genes. Mr. Zeeshan has full command on overlooking all biotechnology labs
primarily working of recombinant product production and immunoassays. However, most
of his lab and research experience is in bioprocess development, virology, and molecular
biology techniques. He has experience with following techniques/lab testing: Isolation
and screening or microbes, acid-fast staining, flow cytometry, western blotting, southern
blotting, nothern blotting, Agarose gel electrophoresis, SDS-PAGE, Dialysis,
Chromatography techniques like HPLC, Ion-exchange etc, Immunoassays like ELISA,
RIA etc, Transformation of cells, competent cell formation, Protein purification, Cell growth
analysis, spectrometry, DNS. These testing techniques are usually performed on bispecific
antibodies, biosimilars, food and beverages, ex-vivo gene and cell therapy, monoclonal
antibodies (MABs), Polyclonal antibodies (PABs), antibodies, dairy products, RNA/mRNA
therapy/ vaccines, tissue engineering and isolation. Mr. Zeeshan has expetise in using
Bioinformatics software like Pimer3, PyMOL, ClustalOmega, OligoCalc etc. These softwares
and websites are used for insilico studies of genes and proteins to find their structure and
sequence. Moreover, he has expetise in using automated nuclic acid extraction kits for fast
extraction of plasmids and chromosomal DNA, QA/QC testing,
and automated gel dock systems
Course Objectives:
To acquaint learners with advance concepts of biological databases, phylogenetic & sequence analysis,
functional analysis of gene and proteins along with practical applications of bioinformatics in biological systems.
Learning Outcomes:
After completing this course student should be able to:
Define bioinformatics with practical point of view, have knowledge of Bioinformatics tools and its applications, and also acquainted knowledge of in silico analysis of gene and its products. You will get hands on experience on the following software.
1. Utilization of PubMed for literature search.
2. Use of biological databases including Genbank. at NCBI, Uniprot and ENA at EMBL, PDB at RCSB.
3. Protein sequence alignment
4. Primer-3.
5. M-fold.
6. Protein function analysis by Prosite.
Course Description:
Week 1-2
Analysis of Biological Data: Analysis of biological data by using different software; Cluster analysis; Sequence alignments
and analysis; Phylogenetics; Analyzing DNA sequences; Analyzing RNA sequences.
Week 3-4
Working with Genome and Online Available Data: Working with entire genomes; Access to literature information;
Retrieving protein sequences; Retrieving DNA sequences; Working with whole genome databases; Analyzing DNA
composition; Finding protein-coding regions; Biochemistry on computer.
Week 5-6
Protein and RNA 3D structure: Analysis of 3D structures of proteins and RNA; Finding known domains in the proteins.
Week 7-8
Sequence alignment: Local Alignment Search Tool (BLAST); Finding multiple sequence alignment; Choosing the right sequence; Interpreting the multiple sequence alignment; Comparing sequences; Editing alignments.
Learning Outcomes:
Course Description:
Who Should attend?
Computer scientists
Masters and graduate students seeking knowledge about modern day drug designing and discovery
Industrial professionals
Lab managers
Lab Technicians
Lab Scientists and Researchers
PhD Scholars
