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WolfgangHProvider Course Type: Short courses (CPD) Start Date: To be announced
Duration: see details Fees/total cost: EUR 765.00

Description

The target audience for this course ranges from beginners to medium-level experienced digital PCR users. Attendees should have some knowledge of basic molecular biology. This course gives an overview of digital PCR and its applications. The course consists of theoretical parts, which will focus on the different applications where digital PCR is advantageous, different instruments available and how the analysis is performed. The course will also contain practical parts where the participants will run digital PCR experiments with following analysis.

The course contains:

Introduction to digital PCR:

  • What is digital PCR?
  • How does it work?
  • When is digital PCR useful?

Applications:

  • How to use digital PCR for absolute quantification.
  • How is Copy Number Variation, CNV, analysis performed?
  • The advantage of digital PCR for rare mutation detection.
  • How to do linkage analysis with digital PCR.
  • How to use digital PCR for analysis of Next generation sequencing libraries.
  • Gene expression analysis with digital PCR.

Basic statistics for digital PCR analysis:

  • What is Poisson distribution?
  • What is the error in our measurement?
  • What is it that affects the precision?
  • What is it that affects the accuracy?
  • Which controls are needed?

Instrumentation:

  • Which instruments are available?
  • How do they work?
  • Which are the differences?

The digital PCR reaction:

  • What to think about when designing assays for digital PCR.
  • Optimization of digital PCR.
  • Trouble shooting

The digital MIQE guidelines:

  • What is specific in the digital MIQE guidelines?
  • Which information is important from a digital PCR experiment?

Practical experiments using digital PCR instruments.

Course Provider Details

Course contact information

Rafael Rojek
CPO
Technik
This course meets 7 out of 9 IMI Education & Training shared quality standards ( Show Details)
  • A predefined set of teaching objectives, leading to defined learning outcomes
  • Assessment of the students' achievement in accordance with the agreed learning outcomes of the training offered
  • A system for collecting, assessing and addressing feedback from learners, teachers, technical / administrative staff and programme / course / module managers
  • Availability of appropriate and regularly reviewed reference material (e.g. published articles, links, book chapters, scripts, etc)
  • Defined and transparent admission criteria
  • Quality assurance of teaching staff
  • Regular review of the QA/QC process and demonstration that the training is further developed in light of this review
  • The facilities, infrastructure, leadership and competences available for the support of student learning
  • University accreditation OR a system for approving, monitoring and reviewing the training offered
Last update: 27/04/2016