Courses

qPCR Basic Module (3 days)
Begin: 04.10.10, 09:00
End: 06.10.10, 16:30
Closing date: 27.09.10, 12:00
Free spaces: 7

High resolution melt - HRM (1 day)
Begin: 07.10.10, 09:00
End: 07.10.10, 16:30
Closing date: 30.09.10, 12:00
Free spaces: 8

qPC-R - data analysis using R packages (2 days)
Begin: 11.10.10, 09:00
End: 12.10.10, 16:30
Closing date: 04.10.10, 12:00
Free spaces: 9

Single-cell/qPCR Module (3 days)
Begin: 18.10.10, 09:00
End: 20.10.10, 16:30
Closing date: 11.10.10, 12:00
Free spaces: 7

Experiment Design and qPCR data processing (2 days)
Begin: 21.10.10, 09:00
End: 22.10.10, 16:30
Closing date: 14.10.10, 12:00
Free spaces: 14

Description
The course gives an introduction how to analyse qPCR data in the powerful statistic tool CRAN and its extensions the R packages (qpcR) and Bioconductor packages (ddCt). The whole work flow of analysing qPCR data will be presented. Fees (+19% VAT): Academic (660€), Industry (880€). Lunches are included in the course fees.
Title: qPC-R - data analysis using R packages (2 days)
Number: 24/10
State: Not exceeded
Begin: Monday, 11 October 2010 09:00
End: Tuesday, 12 October 2010 16:30
Closing date: Monday, 04 October 2010 12:00
Tutor: Sebastian Kaiser, Dr. Martina Reiter
Target group: Beginner and advanced qPCR user
Location: BioEPS GmbH
Lise-Meitner-Strasse 30
85354 Freising
Germany
Bookable: 9
Name: *
email: *
Academic or Industry : *
Company: *
Company, Adress 1: *
Zip code 1: *
City 1/Country: *
Adress 2 (invoice):
Zip code 2 (invoice):
City 2 (invoice):
Telephone: *
Interests:
In this course the participants get an overview of existing R packages for qPCR data analysis and learn how to handle the specific software. After the course the participants are able to analyze own data in the open sourece R software.

 

Day 1:

  • Experimental setup
  • Choosing replicates and controls
  • Handling of outlier and missing data
  • Introduction in R
  • Using R as software
Day 2:
  • Using qPCR packages of R
  • Using qPCR packages of Biocondcutor
  • qPCR work flow
  • Data input and normalization using R
  • Fit and statistical analysis using R

Fees (incl. 19% VAT):

Academic: 785.40€

Industry: 1047.20€

* I accept the Terms and Conditions.
  * Required field