New Year Offer End Date: 30th April 2024
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Program

Python for Biologists: Beginners Level

Python Programming, Bioinformatics, Biological Data Analysis, Sequence Analysis, Gene and Genome Analysis, Protein and Proteome Analysis, Transcriptome Analysis, Structural Biology, X-ray Crystallography, NMR (Nuclear Magnetic Resonance), Circular Dichroism, Pathway Analysis, Cellular Dynamics, Biomarker Prediction, Data Visualization, Problem-solving Skills

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MODE
Mode(Online) TYPE
Self Paced LEVEL
ModerateProgram Length
4.5 hours

About Program:

Python has become an essential tool in the field of biology due to its versatility and ease of use. This program is designed to cater specifically to biologists who wish to harness the power of Python for data analysis, visualization, and modeling in biological research. Participants will gain practical experience and hands-on training to confidently apply Python in their specific areas of interest.

Aim: The aim of the program”Python for Biologists” is to introduce biologists to the fundamental concepts of programming using Python and demonstrate its applications in various biological disciplines. The program will focus on enabling participants to leverage Python for sequence analysis, structure analysis, and pathway analysis in their research and work.

Program Objectives:

  1. Introduce participants to Python programming concepts and syntax.
  2. Provide an overview of the applications of Python in different biological domains.
  3. Teach participants how to analyze gene sequences, proteins, and transcriptomic data using Python.
  4. Familiarize participants with structural biology techniques such as X-ray crystallography, NMR, and circular dichroism and how Python can aid in their analysis.
  5. Explore pathway analysis and its significance in understanding cellular dynamics, reconstruction, and biomarker prediction using Python-based tools.

What you will learn?

Day 1: Sequence Analysis

  • Introduction to Python for Biologists.
  • Python Basics: Variables, Data Types, and Control Structures
  • Gene and Genome Analysis with Python
  • Protein and Proteome Analysis with Python
  • Transcriptome Analysis with Python

Day 2: Structure Analysis

  • Introduction to Structural Biology and Python’s Role
  • Analyzing X-ray Crystallography Data with Python
  • NMR Data Analysis with Python
  • Circular Dichroism (CD) Spectroscopy and Python Analysis

Day 3: Pathway Analysis

  • Introduction to Pathway Analysis and Its Significance.
  • Cellular Dynamics Modeling with Python
  • Pathway Reconstruction
  • Biomarker Prediction using Python

Fee Plan

INR 1999 /- OR USD 50
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Intended For :

  1. Educational Background: Participants should have a background in healthcare, medicine, life sciences, communications, journalism, or related fields. This ensures they have foundational knowledge relevant to medical communication.
  2. Professional Experience: While not always mandatory, participants with prior experience or employment in healthcare communication, medical writing, journalism, public relations, or related fields may be preferred.
  3. Language Proficiency: Proficiency in the language of instruction (e.g., English) is usually required to understand lectures, instructions, and training materials effectively.
  4. Computer Skills: Basic computer literacy and familiarity with digital communication tools and platforms may be beneficial, as the program may involve hands-on exercises or assignments using digital technologies.
  5. Motivation and Interest: Participants should demonstrate a genuine interest in medical communication and a commitment to improving their communication skills in the digital age.
  6. Access to Resources: Depending on the program format (e.g., online course, in-person workshop), participants may need access to a computer with internet connectivity to participate in lectures, access course materials, and complete assignments or assessments.
  7. Continuing Education Requirements: Professionals seeking continuing education credits or certifications in medical communication may need to meet additional eligibility criteria specified by accrediting bodies or professional organizations.

Career Supporting Skills

Bioinformatics Data Analyst Computational Biologist Structural Bioinformatics Specialist Pathway Analyst/Biologist Data Scientist (Biology Focus) Research Assistant/Associate

Program Outcomes

By the end of the program, participants will:

  1. Have a solid understanding of Python programming and be able to write basic scripts for biological data analysis.
  2. Be proficient in conducting gene and genome analysis, protein and proteome analysis, and transcriptome analysis using Python libraries.
  3. Gain insights into the structural analysis of biomolecules using Python-based tools for X-ray crystallography, NMR, and circular dichroism.
  4. Acquire the skills to perform pathway analysis, cellular dynamics modeling, and biomarker prediction using Python.
  5. Be equipped to integrate Python into their daily research and data analysis workflows in the field of biology.

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