The qPCR
workshops on 21st and 22nd March are hosted by TATAA Biocenter (www.TATAA.com) or Bio-Rad (www.Bio-Rad.com)
The
NGS data analysis workshop on 21st and 22nd March is hosted by Genomatix (www.Genomatix.com).
The
workshop laboratories and seminar rooms are very close to the
central lecture hall.
2-day workshops will be held in parallel at 21st and 22nd March 2013
The
workshops are aimed at giving participants a deep and objective
understanding of real-time quantitative PCR, biostatistics, expression
profiling, digital-PCR, and its applications. The courses are intended
for academic or industrial persons considering working with qPCR or
scientists currently working with qPCR seeking a deeper understanding. All
qPCR workshops offer extensive hands-on training by qPCR experts.
Participating
companies are asked to support the workshops with real-time PCR
cyclers, qPCR kits, consumables, centrifuges, pipettes, etc. Please
contact our workshop organisation team, headed by Sylvia Pfaffl,
bioMCC, Germany, Eventmanagement@bioMCC.com
In the qPCR data
analysis workshop the data conversion, normalisation procedure,
biostatistical calculations and the expression profiling will be done
with the newest GenEx software by MultiD.
You can download a free trial version
from our webpage => Genex.gene-quantification.info
The courses cover all aspects in qPCR and is held
during 2-days. Each course is app. 50% hands-on and is limited to
app. 20 participants, resulting in very interactive teaching and
everybody given the opportunity to try the instrumentation.
After
the course participants will be able to plan and perform qPCR
experiments themselves, as well as interpret and analyze data. Detailed
course material and full catering (lunch, coffee, soft drinks and
snacks) are included in the course fee.
Course
dates
21st and 22nd March 2013 Course starts
at
9:00 = 9 am Course ends
around 17:00 = 5 pm
Description: The basic real-time qPCR course. You will aquire a
comprehensive overview of the possibilities with real-time PCR, how to
use it and how to analyze the results. The course contains:
Day 1
Basic PCR and qPCR
Review of different detection technologies (SYBR
Green I, hydrolysis probes, Molecular Beacons, etc)
Different instrument platforms
Applications and possibilities of qPCR.
Primer and probe design
Basic data handling and analysis
Experimental design and optimization
Day 2
Introduction to quantification principles
Quantification strategies, uses and limitations
Strategies for normalization of qPCR data
Calculations using different relative quantification
methods
Absolute quantification
Validation of qPCR assays
Experimental
design and statistical data analysis for qPCR
(2-days) hosted
by TATAA Biocenter
Computer
seminar room – PU26
Description: Learn how appropriate statistics shall be selected and
applied correctly to get the most out of your qPCR data. The course
includes theoretical lectures combined with practical data analysis
performed with qPCR analysis software. The course contains:
Day 1 - Statistical analysis of
real-time PCR data
Basic principles of statistics
Advanced principles of statistics
Statistical tests
Ability to detect a difference
Day 2 - Gene expression
profiling with real-time PCR
Multiplate measurements
Standard curves and absolute quantification
Experimental design, Selecting reference genes
Relative quantification, Comparison of groups
Expression profiling
In the qPCR data
analysis workshop the data conversion, normalisation procedure,
biostatistical calculations and the expression profiling will be done
with the newest GenEx software by
MultiD.
You can download a free trial version
from our webpage => Genex.gene-quantification.info
MIQE: Quality
control of qPCR in Molecular diagnostics
(2-days) hosted by TATAA
Biocenter
Seminar room
– S2
This course will go deep into the MIQE guidelines,
describe the important steps in qPCR and how you should work to fulfill
the guidelines. The course will also focus on how you do proper quality
control of your qPCR assays to be used in molecular diagnostics. It
will describe which controls that are needed and the statistics on how
to do the evaluations.
Description: Learn how to plan,
perform, and analyze digital PCR experiments and how digital PCR can
help your research to overcome the limitations of real-time qPCR.
Day 1
Welcome and introductions
Introduction to Digital PCR
Droplet generation and PCR start for CNV experiment
ddPCR applications: CNV
Start DR for CNV experiment
Droplet generation and PCR start for RED and ABS
experiments
ddPCR Applications: RED and ABS
CNV results analysis
Start DR for RED/ABS experiment
Review of the day
Day 2
ddPCR: basic statistics
RED/ABS results analysis
Other ddPCR Applications: gene expression and NGS
When qPCR and when ddPCR? Moving from qPCR to ddPCR
Description: The large amounts of
data derived from next generation sequencing projects makes efficient
data mining strategies necessary. In the course you will learn
strategies for the analysis of different kinds of next generation
sequencing data. The workshop is based on real world examples and will
use the Genomatix software, which provides a graphical user interface;
no programming, scripting, or command line tool knowledge is necessary
to attend.
Day 1
General introduction to the Genomatix system
SNP analysis:
GMS
demo: mapping of DNA
data and SNP detection
GGA hands-on: SNP effects analysis
characterization of regulatory SNPs
CNV analysis:
GGA hands-on: pairwise CNV analysis
Methylation analysis:
GMS
demo: bisulfite mapping
and methylation analysis
GGA hands-on: visualization of
methylation data
Day 2
miRNA analysis:
GMS
demo: mapping to
smallRNA library
GGA hands-on: differential miRNA
expression
RNA analysis:
GMS
demo: spliced mapping
to genome mapping to transcriptome
GGA hands-on: differential expression
analysis
biological classification and pathway analysis of
differentially expressed genes
assessment and visualization of alternative
exon/transcript usage
ChIP-Seq analysis:
GGA hands-on: peak detection and
classification
TF binding site analysis in ChIP peaks
de novo definition of common sequence motifs in
ChIP data
next-neighbor analysis and regulatory target
prediction for ChIP regions
