Applied bioinformatics and biostatistics
Type of event
- Live-Online
Practice format
- Operational practice
Funding
- Funding with education voucher
The target group includes academics in biology, microbiology, chemistry, biochemistry, medicine, mathematics and physics.
What requirements do I need?
The prerequisite for participation is
- Your interest in the subject areas of biology and computer science.
- Good English skills, solid basic knowledge of biology and mathematics
- Experience of working with IT applications are required.
An internship in a company or institute improves your career prospects. You can apply what you have learned in a work process with real data and test yourself in the process. If required, you will also receive job advertisements from CQ up to 6 months after completing your training to support your application process.
What will you achieve?
You will learn statistics and programming for the interface between biosciences and bioinformatics. This includes evaluation methods such as sequence analysis, next generation sequencing (NGS), the visualization of structures, the use of molecular biology databases and the application of statistical methods with R / R Studio. You will round off your profile with elements of programming. This includes writing small analysis scripts using the Python programming language.
You will be able to work with experts in the natural sciences, mathematics, and computer science to develop solutions to scientific problems. The knowledge you acquire will give you a significant advantage in both bioinformatics and biostatistics as well as in laboratory work.
What topics does the training course cover?
- Application strategies, professional profile, and perspectives
- Introduction to Linux and Bash (Bourne-again shell) under Linux
- Fundamentals of programming (programming methodology, pseudocode, data structures)
- Version control and code documentation (Git/GitHub)
- Introduction to the Python programming language
- Object-oriented programming in Python
- NCBI and interaction databases
- Biopython: Web services
- Database management
- Relational database schema, SQL integration
- Sequence analysis, sequencing strategies
- Pairwise and multiple alignments, BLAST variants
- Structural bioinformatics, software for structure visualization
- Automated image recognition methods. Digital image processing. Example: Automatic cell and area calculation
- Fundamentals of statistics, descriptive and multivariate statistics
- Statistical analysis with R/R-Studio
- Variance, principal component, cluster, and discriminant analysis
- Concepts of machine learning (Markov chain implementation)
- Artificial neural networks/networks
- Application of artificial intelligence (AI), especially programs like ChatGPT
- Introduction to NGS. Basics of NGS
- Familiarization with NGS data formats (FASTQ, SAM/BAM)
- Installation of NGS programs/tools
- Processing of sequencing data (quality control, trimming, mapping)
- Use of Conda for creating and managing software environments for NGS data analysis
- Creating NGS workflows (Galaxy and Snakemake or R and Nextflow)
- Joint organization of a project phase in a company / institute
– Individual application coaching
– Comparison of independently compiled company lists with the CQ company network for better coordination
– Providing research tools (platforms, associations, clubs, technology parks, job advertisements) - Opportunity to apply the learned skills in a work process with real data
- For participants not residing in Berlin, the internship can be completed in the vicinity of their place of residence or remotely
- The gateway to a job
– Support during the application process
– Researched job advertisements (nationwide in Germany) will be provided
Researched job advertisements will be sent by email to former participants up to 6 months after completing the training.
Here is a first look at the topic of „Digital data evaluation“:
- Our specialist lecturer Mr. Böhmer gave a lecture on the topic of Next Generation Sequencing mit Galaxy
- Our statistics expert Dr. Andreas Busjahn presented how data evaluations can be successful with the help of the statistical software R
Course data
Price
for self-payers or corporate customers
10.984,00 €, VAT exempt
800 teaching units of 45 minutes each and 400 practical units, Course language: English
Course dates
04.05.2026 – 18.12.2026
100% funding possible with an education voucher (BGS)
from the employment agency or job center
Your contact
Nassim El Masri
Antje Sonntag
Contact person
Nassim El Masri
Antje Sonntag
Request participation
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