"Master Essential Bioinformatics
Databases, Tools, Molecular Docking, Phylogenetics, Transcriptomics & AI/ML Applications in Life
Sciences"
ELIGIBILITY
ü All UG(final year), PG students from Botany, Zoology, Microbiology,
Biotechnology, Life science who want to start their
career in Bioinformatics
ü Research Scholars, and Faculty members from life science and allied
disciplines.
Continue
reading here visit the webpost for more information, syllabus and registration
https://qbiits.org/bioinformatics-1-month-crash-course/
About the Course
The Bioinformatics
Crash Course June 2026 is a comprehensive 30-day/45 Hours online training program
designed to provide learners with practical knowledge and skills in Various
Important Bioinformatics Topics , and emerging AI/ML applications in life
sciences. This intensive program is structured to help students, researchers,
academicians, and life science professionals understand and apply computational
approaches in modern biological research.
|
COURSE HIGHLIGHTS • Hands-on
sessions with one to one guidance |
Career Outcomes
✓
Bioinformatics Analyst |
Duration: 30
Day Mode: Online
Date: 27th
June to 26th July 2026 Last Date: 26th
June/as per seat vacancy
Time 7 PM to
8.30 PM ( Indian Standard Time)
WORLD WIDE TIME SCHEDULE
|
Country |
Time |
Country |
Time |
|
|
7:00 PM |
USA |
9:30 AM |
|
Nepal |
7:15 PM |
Canada (Toronto) |
9:30 AM |
|
Bangladesh |
7:30 PM |
Malaysia |
9:30 PM |
|
Sri Lanka |
7:00 PM |
Germany |
3:30 PM |
|
UAE |
5:30 PM |
France |
3:30 PM |
|
Saudi Arabia |
4:30 PM |
Greece |
4:30 PM |
Check the Schedule in your Time Zone here https://savvytime.com/converter
Full Syllabus
All Modules includes 40 %
Theory session and 60 % Hands on Session
Module-1: Basic Bioinformatics
Introduction to Bioinformatics
·
Biological databases: Sequence
Databases,
·
Biomolecular Structure
Databases,
·
Domain and protein functional
family databases,
·
Genome Database. Gene
expression Database.
·
Tools for Biological Data
Analysis: Blast. Fasta, Clustal-W .
·
Small molecules databases
Pubchem, Drugbank
Module-2: Structural
Bioinformatics
Topics Covered:
- Introduction to Structural Bioinformatics
- Protein structure levels (Primary–Quaternary)
- Protein Data Bank (PDB) and structure retrieval
- Homology modeling principles
- Protein structure modeling using MODELLER
- Structure validation (Ramachandran Plot, PROCHECK)
- Molecular visualization (PyMOL / Chimera)
- Molecular docking and hands on session
Module-3: Molecular
Phylogenetics and Evolutionary Analysis
Topics Covered:
- Basics of molecular evolution
- Sequence alignment for phylogenetic analysis
- Substitution models (Jukes-Cantor, Kimura)
- Phylogenetic tree construction methods:
- Distance-based
- Character based
- Bootstrap analysis
- Tree visualization, Molecular Clock Calibration and building
speciation tree
- Introduction to Bayesian phylogenetics (overview)
Students need to choose one
elective out of two, given below
Module-4(Elective-1):
Programming in R and Machine Learning Using Biological Datasets
Topics Covered:
- Introduction to R programming
- R Data Structure and datatypes
- Statistical Analysis using R
- Introduction to Machine Learning concepts
- Supervised learning:
- Logistic Regression
- Decision Trees
- Random Forest
- Unsupervised learning:
- K-means clustering
- Hierarchical clustering
Case Study for
Machine Learning
Following are the case study included (Including some Simulated dataset)
(not limited to the below)
Plant Species Prediction based
on sepal, petal measurement, Wisconsin Breast Cancer Dataset, Pima Indians
Diabetes Dataset, NCI60 Cancer Cell Line Gene Expression Dataset, Golub Leukaemia
Gene Expression Dataset, Parkinson’s Disease Dataset, Heart Disease Dataset,
TCGA Cancer Genomic Dataset, Identification of bio marker gene for cancer based
on gene expression data, Predict Blood-Brain barrier of drug like compound
by molecular descriptor
Module-5(Elective-2): NGS,
Transcriptomics, and High-Throughput Data Analysis
Duration: 8-10 Hours
Topics Covered:
- Overview of NGS technologies
- RNA-Seq workflow
- Quality control (FastQC)
- Read trimming and preprocessing
- Alignment and quantification
- Differential gene expression analysis
- Functional enrichment (GO, KEGG)
- Biological interpretation and reporting
- Case study
Assessment Test and assignment
IMPORTANT
DATES
Last Date: 26 June 2026 or as per availability of seats
Course Start Date: 27 June 2026
FOR FEES AND ENROLLMENT DETAILS
Kindly
Contact visit
https://qbiits.org/bioinformatics-1-month-crash-course/
Indian Participants: Rs. 2990/-
Payment
Link for Indian Fellow
International Participants: $50
Payment
Link for International Fellow
https://www.paypal.com/paypalme/Workshop334
Click below to connect with
us to Reserve your seat
Limited seats available for interactive hands-on training
About Us – Quaxon Bio & IT Solutions
Quaxon Bio & IT Solutions
(QBIITS) is a rapidly growing EduTech startup, officially
registered with the Ministry of Micro, Small and Medium Enterprises (MSME) in
the Government of India. Since our establishment in June 2022, we have gained
learners from more than 40 countries by April 2026.
At QBIITS, we focus on
providing high-quality virtual training programs in Bioinformatics and Data
Science. These programs are specifically designed for professionals and
students from biosciences and Bio-Pharma backgrounds. Our approach centres on
the learners good experience, our curriculum aligns with industry needs, and
our global reach positions us as a reliable partner in professional
development.
Starting with Bioinformatics
education, we have broadened our expertise to include Data Science and Machine
Learning, due to the increasing demand for these fields in life sciences
research and industry.
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