RNA-seq Workshop: An introductory course to RNA-seq
RNA-seq Workshop
An introductory course to RNA-seq
(Centro di Biotecnologie Molecolari, Via Nizza 52, Torino, Italy, 1-2 March 2012)
Next Generation Sequencing platforms changes the conventional view of transcript analysis. Massive Parallel Sequencing methods (MPS) can extend and improve the knowledge obtained by conventional microarray technology, both for mRNAs and short non-coding RNAs, e.g. miRNAs.
This hands-on course is organized by B&Gu with guest speakers from Illumina , Singapore Immunology Network and Politechnic of Torino. The course is suitable for biologists who are new to RNA-seq technology. Additionally, if you have analyzed gene expression data from microarrays and would now like to do projects using RNA-seq technology, then this workshop will enable you to gather information on the critical issue on RNA-seq from sample prep to data analysis.
The course is based on the use of Bioconductor open-source software. However, R coding skill is not required since all the analyses are done using oneChannelGUI, a graphical interface to Bioconductor tools, designed for life scientists who are not familiar with R language.
Knowledge of statistics is not necessary prior to attending the course.
Further course information, agenda and logistics can be found in the course booklet.
This hands-on course is organized by B&Gu with guest speakers from Illumina , Singapore Immunology Network and Politechnic of Torino. The course is suitable for biologists who are new to RNA-seq technology. Additionally, if you have analyzed gene expression data from microarrays and would now like to do projects using RNA-seq technology, then this workshop will enable you to gather information on the critical issue on RNA-seq from sample prep to data analysis.
The course is based on the use of Bioconductor open-source software. However, R coding skill is not required since all the analyses are done using oneChannelGUI, a graphical interface to Bioconductor tools, designed for life scientists who are not familiar with R language.
Knowledge of statistics is not necessary prior to attending the course.
Further course information, agenda and logistics can be found in the course booklet.
Seats available
15 out of 15
(Computers provided by the organisers).
5 out of 5
(Computers provided by the participants)
(Registration dead line 10th February 2012)
If you are interested, please, make the on-line registration.
Upon registration, you will receive an invoice and an official confirmation from raffaele.calogero@unito.it, 15 out of 15
(Computers provided by the organisers).
5 out of 5
(Computers provided by the participants)
(Registration dead line 10th February 2012)
If you are interested, please, make the on-line registration.
then you can pay the registration fee:
1st option:
bank transfer to the Course Bank Account:
Code for Italy
IBAN: IT 78 Z 03268 31260 052843266940
BIC selbit2bxxx
International code:
BBAN: Z 03268 31260 052843266940
When you specify the reason of this money transfer, please indicate: RNASEQ2012
2nd option:
Credit card payment (link to be provided)
Please, send a proof of money transfer via email (raffaele.calogero@unito.it) or fax (+39 011 2366457)
Course fees include: course materials, coffee breaks, lunches and social dinner.
