Professional Training for Bioinformatics
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: Dr. Amir Hussain is currently as Managing Director and Senior Scientist of Biotechnology at Biotech Verde, Unipessoal since 2021. Previously, he was a Research Associate/Teaching Assistant in Jacobs University Bremen and also worked as a researcher at Food and Biotechnology Research center. 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. Dr. Amir Hussain 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, Chromatrography techniques like HPLC, Ion-exchange etc, Immunoassays like ELISA, RIA etc, Transformation of cells, comptetent cell formation, Protein purification, Cell groeth analysis, spectrometry, DNS. These testing techniques are usually performed on biospecific antibodies, biosimilars, food and breverages, ex-vivo gene and cell therapy, monoclonal antibodies (MABs), Polyclonal antibodies (PABs), antibodies, dairy products, RNA/mRNA therapy/ vaccines, tissue engineering and isolation. Dr. Amir Hussain has expetise in using Bioinformatics softwares 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