CQ-Weiterbildung-BioinformatikApplied bioinformatics and biostatistics

The advanced training in applied bioinformatics and biostatistics is the acquisition of skills in an interface science between biology and computer science. You will learn bioinformatics evaluation methods such as Sequence analysis, Next Generation Sequencing (NGS) and the visualization of structures as well as the targeted use of (molecular) biological databases and the application of statistical methods with R / R Studio. Writing smaller evaluation scripts with the Python programming language is also part of the training and rounds off your profile with programming elements. This is how you prepare for a job at the interface of bioinformatics, statistics and programming.

For job seekers, financing with an education voucher is possible. The training is AZAV certified.

Note: This course is taught in English only. We would gladly advise you on your participation options.

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Content of the training

1. Introduction to programming and Python

  • 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

2. Bioinformatics and biodatabases

  • NCBI and interaction databases
  • Biopython: Web services
  • Database management
  • Relational database schema, SQL integration

3. Applied bioinformatics

  • 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

4. Applied biostatistics

  • 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

5. Next Generation Sequencing

  • 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)

6. Internship

  • 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.

Requirements

The prerequisite is your interest in the subject areas of biology and computer science. Good English skills, a solid basic knowledge of biology and mathematics, as well as having fun using IT applications are required. The target group includes in particular academics in biology, microbiology, chemistry, medicine, mathematics and physics.

Perspectives

You will be able to develop solutions for scientific problems together with experts from the natural sciences, mathematics and computer science. An internship in a company or institute improves your professional prospects and employment opportunities. With the knowledge you have acquired from the CQ bioinformatics training course, you have a real knowledge advantage over applicants with the same training background. Both in a bioinformatics-biostastic field of activity as well as in a laboratory.

As a rule, 3 out of 4 participants manage to get started in a corresponding activity.

Here is a first look at the topic of digital data evaluation:

Completion: After successfully completing the training, you will receive a certificate from CQ Beratung + Bildung GmbH.

Funding

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For job seekers, financing is possible with an education voucher from the Agentur für Arbeit and the Jobcenter. We would be happy to advise you and make an offer. Please contact us for an individual opportunity to promote further training. Measure no. 962/26/2024

You can find an overview of the various options in our list of funding.

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