Applied Bioinformatics and Biostatistics

المجموعات المستهدفة:

 You have an academic degree in biology, chemistry, medicine, mathematics, physics or computer science. Previous experience in computer science or programming is not necessary. Important are good subj

المتطلبات المهنية:

Requirements: interest in the subject areas of biology and computer science, good English skills, solid basic knowledge in biology and mathematics, enjoying working with IT applications

المتطلبات التقنية:

Keine besonderen Anforderungen.

منهجية وكالات العمل:

keine Angaben

المحتويات

Overview
This training program equips you with applied skills in bioinformatics and biostatistics, focusing on programming and statistical methods at the interface of biological sciences and informatics. You will gain expertise in sequence analysis, Next Generation Sequencing (NGS), visualization of molecular structures, utilizing biological databases, and applying statistical techniques using R and R Studio. Additionally, the course includes Python programming, enabling you to write scripts for data analysis.
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Course Objectives
Skill Development: Acquire a diverse range of skills, including programming, statistics, and data analysis, alongside practical tools like molecular biology databases.
Practical Focus: Apply the knowledge gained to real-world data through an internship, enhancing your professional readiness.
Career Advancement: The combination of bioinformatics, biostatistics, and practical experience makes you a valuable candidate for both laboratory roles and data-driven fields.
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Funding Opportunities
This course is eligible for funding through education vouchers:
Program ID: 962/26/2024 (for employment agencies/job centers).
Additional Funding: Further training and coaching subsidies are available.
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Target Audience
Academics in biology, microbiology, chemistry, biochemistry, medicine, mathematics, or physics.
Individuals interested in bioinformatics, statistics, and the convergence of life sciences and IT.
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Prerequisites
Interest in biology and informatics.
Good English proficiency (course language: English).
Basic knowledge of biology and mathematics.
Enthusiasm for working with IT applications.
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Your Motivation
Practical Experience: Gain hands-on experience in real-world projects through an internship.
Career Support: Benefit from job postings and personalized career guidance for up to 6 months after completing the program.
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Topics and Structure
Module 1: Introduction to Programming and Python
Linux and Bash: Fundamentals of shell usage.
Python Programming: Introduction to Python, object-oriented programming, and version control (Git/GitHub).
Module 2: Bioinformatics and Biological Databases
Access and utilize databases like NCBI.
Biopython: Tools for web services and database management.
Module 3: Applied Bioinformatics
Sequence Analysis: Pairwise and multiple alignments, BLAST variants.
Structural Bioinformatics: Molecular visualization and automated image recognition.
Module 4: Applied Biostatistics
Statistics with R: Variance analysis, clustering, machine learning techniques.
Artificial Intelligence: Applications of neural networks and tools like ChatGPT.
Module 5: Next Generation Sequencing (NGS)
Introduction to NGS: Data formats (FASTQ, BAM) and workflows (e.g., Galaxy, Snakemake).
Data Analysis: Quality control, mapping, trimming.
Module 6: Internship
Organization: Internship opportunities in companies or research institutes, onsite or remote.
Career Support: Tailored job application coaching and access to job postings for up to 6 months.


Requirements:

A requirement is your interest in the subject areas of biology and computer science. Good English skills, solid basic knowledge in biology and mathematics as well as enjoying working with IT applications are required. The target group includes in particular academics in biology, chemistry, medicine, mathematics, physics and computer science.



The Training will be conducted online (live) or in person. We would be happy to provide you with more information about the exact program.