About our Bioinformatics coaching:
Our Genomic Resolve Research Centre, are committed in delivering high quality career focused education that empowers learners at every stage. We specialize in turning complex concepts into practical skills with curriculum designed by our experienced professionals and industry experts. Our bioinformatics coaching program, combines biology, computational tools, data analysis offering multidisciplinary approach that reflects the real demands of industry and research. Our training, help our candidates to built skills with our personalized support, hands on projects and access to cutting edge tools and databases.
We support complete focus on real world needs and career development, we ensure our candidates become confidence and competence to apply it effectively. Join us! we don’t just train you but help you gain knowledge and grow skills and make sure our candidates are dedicated to innovation and excellence in bioinformatics and life science.
Who are eligible?
- Undergraduate and postgraduate from Life Science, Biology, Biochemistry, Bioinformatics, Biotechnology, Microbiology, Bioengineering, Computational Biology, Pharmacy, Data Science and other related fields.
- PhD scholars and educators planning to integrate in bioinformatic stools and techniques or develop research in bioinformatics.
- Working professionals want to upskill or stay connect with the latest advancements.
Our Curriculum
Introduction to Bioinformatics
Scope of bioinformatics: genomics, transcriptomics, proteomics.
Key databases: NCBI, Ensembl, UniProt.
Reading: Introduction to bioinformatics textbooks.
Sequence Analysis
Sequence alignment: BLAST, ClustalW.
Phylogenetic analysis and tree construction.
Practical: Run BLAST on a DNA sequence.
Genomics and Transcriptomics
Analyzing NGS data: RNA-Seq, ChIP-Seq.
Tools: Bioconductor, Galaxy, DESeq2.
Practical: Analyze an RNA-Seq dataset for differential expression.
Structural Bioinformatics
Protein structure prediction and visualization (PyMOL, Chimera).
Molecular docking basics.
Practical: Visualize a protein structure using PyMOL.
Programming and Data Management
Python and R for bioinformatics.
Data visualization and pipeline automation.
Practical: Write a Python script to parse a FASTA file.
Our key Features
Experienced Faculty: Our skilled professionals in data science and bioinformatics will have deep understanding and guide our candidates with step-by-step training with tools, workflows and analysis techniques.
Practical Learning: Our hands on training in bioinformatics include live demonstrations, case studies and project-based training with real biological datasets.
Flexible batch and Duration: We provide online, self-learning and classroom learning with weekend or weekday batch option that suit our candidates and support 15days to 3months coaching duration which can be customize based on their convenience.
Accommodation Facilities: For outstation candidates, we provide affordable accommodation assistance close to our training centre.
Certification: After successful certification, secure your certification in bioinformatics with practical competencies during the program.
