Python for Bioinformatics

Price 4000 | USD $120

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About Course

Python is the most demanding programming language these days because of its simplicity and a huge amount of scientific computing library. It's currently used in almost all the bioinformatics areas and used by top bioinformatics companies worldwide. It has more than 200 thousand citations on PubMed. This course will cover the practical application of python in the bioinformatics field with covering the following topics automation, biopython, and machine learning libraries.

Course highlights


  1. Introduction of python and its application in Bioinformatics.
  2. Installation of python on windows and Linux machines, Installation of libraries.
  3. Introduction of various code editors (IPython, Jupyter Notebooks, VSCode, PyCharm, etc.) and their use scenario.
  4. Introduction of BioPython, Simple FASTA parsing example.
  5. Simple GenBank parsing example.
  1. Introduction of variables and operators and mathematical operations in python.
  2. Introduction of lists, string, dictionary, tuples, and set.
  3. Sequence acts like strings, performing crossovers, mutation, and searching.
  4. Control statements if-else and nested if-else.
  5. while and for loops, nested loops, continue and break statements.
  6. Revision class and doubt solving.
  1. Introduction of functions and class.
  2. Handling files (reading, writing, and appending) working with Fasta, Excel, and text files.
  3. Reading a sequence file.
  4. Project: Performing BLAST of cancer proteins and analyzing data.
  5. Handling Big Data, Introduction of plotting.
  6. Revision class and doubt solving.
  1. Biopython, Working with nucleotides and proteins Transcription, Translation.
  2. Comparing Seq objects, MutableSeq objects, SeqRecord objects from FASTA files.
  3. Parsing or Reading Sequence Alignments.
  4. BLAST and running Blast locally.
  5. Standalone NCBI BLAST+.
  6. Revision class and doubt solving, 2 projects.
  7. Certificate.
  1. Advanced plotting and data analysis
  2. Introduction of Artificial intelligence
  3. Linear regressions
  4. Logistic regressions
  5. Web development and django

Features available in our live classes

“who knows, does it live”

Certificate of completion

Life time study material access

Doubt solving at any time

Job opportunities


Top instructor


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Certificate of completion

What students say about us

ReadMyCourse is a one stop destination for understanding courses related to research and new technology With great qualified instructors and 24X7 doubts support, difficult topics are presented in a simplified manner.

Dr. Rimanpreet Kaur | Bioanalyst
Machine learning course

I had a great learning experience with ReadMyCourse. The concepts were clearly explained by the teachers, especially the way the course was simplified and presented, makes it more fun and easy. I got a job offer as Bioanalyst.

Anup Singh | IISC
NGS course

It is quite understandable for me. I have some background in programming language it is a plus point, apart from it also its quite easy to understand with live classes. Course was more practical and with live coding examples.

Sakina Vakhariya | AstraZeneca
Python for Bioinformatics course

Our values lie in our instructors

Anand Kumar
Python for Bioinformatics, Vaccine designing

Anand is the Co-Founder and CTO of ReadMyCourse. He has 5 years of experience in working with computation biology, Machine Learning, and Vaccine designing. He has co-authored various research papers in reputed journals and has advanced the career of thousands of students.

Dr. Dibyabhaba Pradhan
NGS data analysis, Vaccine designing, Bioanalyst

Dr. Dibyabhaba Pradhan is a Post-doctoral Research Scientist. He is a PhD in Bioinformatics and has more than 12 years of Research and teaching experience in High throughput NGS data analysis, Computer-aided vaccine design, Rational Drug Design and Medical Informatics. He co-authored more than 53 research papers in International and National Journals of repute.

Nirupma Singh
Python, R, Data Analysis, Machine Learning

Nirupma has 5 years of experience with R and Python programming languages for handling and analysing biological data and implement machine learning. She has a post-graduate in Microbiology therefore, She can understand and interpret the biological data quite well and could provide valuable insights. She enjoys interactive teaching with the learners and give her best to it.

Sharon Priya Alexander
Drug designing, Bioinformatics tools

Sharon Priya Alexander has Masters Degree in Bioinformatics bagged late Dr. P. Subramanyam IAS Gold Medal for being a University topper. He has co-authored various research papers in reputed journals. Currently Pursuing PhD in drug designing.


If you miss the class you can attent in any other session. You can view recorded sessions also.

Yes you can attend demo session for free. Before the final class will be started you can attend demo live classes.

Yes you are eligible for refund in the period of three classes.

You will get the certificate after completion of all the live sessions and study materials.

Python for Bioinformatics