Workshops
Workshops on Sequencing Experiments
Slideshow PDFs: SolexaIntro1 SolexaIntro2
Description: This workshop is to introduce first-time users to our Solexa sequencing facility. The workshop will be targeted to novices and will include:
- basic information about Solexa sequencing technology
- sample submission process and results
- additional data analysis services
Date: Check back for future dates
Special Seminar Workshop on Illumina Sequencing
When: Monday, October 19, 2009
Time: 9am - 1pm
Location: Genomics Auditorium, 1102A
DESCRIPTION:
At IIGB, the Genomics and Bioinformatics Cores are excited to be providing services and expertise in Illumina sequencing and data analysis. This massively parallel DNA sequencing technology is advancing rapidly with the continual development of new applications and ever-increasing efficiencies
in instrumentation and software. With this in mind, the IIGB and Illumina are sponsoring a special seminar workshop with presentations from the following speakers:
- Shawn Baker (Illumina): "Applications on Illumina’s Genome Analyzer – From Possibilities to Publications"
- Peter Atkinson (UCR)
- Hailing Jin (UCR)
- Karine Le Roch (UCR)
- Thomas Girke (UCR): "HTS Data Analysis: Challenges and Solutions"
- Kimberly Troutman (Agilent): "New strategies for targeted sequencing"
Data Analysis Workshops
A complete list of all bioinformatics workshops offered by the facility are posted on the on the Bioinformatics Workshop page. Only workshops directly related to the analysis of HT sequencing data are listed on this page.
Analysis of High-Throughput Sequencing Data with R and Bioconductor
Date: Thu, July 23, 2009 (2:30-7:00pm)
Location: 1104 Batchelor Hall, UC Riverside
Instructors: Tyler Backman, Rebecca Sun & Thomas Girke
Description:
R and Bioconductor provide extensive utilities for analyzing
high-throughput sequencing data from next generation technologies, such
as Illumina (Solexa). This workshop will cover the following topics:
(1) basic sequence and string handling in R; (2) quality assessment
utilities; (3) quality filtering; (4) adaptor trimming; (5) sequence
alignments; (6) interacting with external
alignments programs from R, e.g. SOAP, Maq, Bowtie; (7) read
density and SNP analysis; and (8) visualization of genome-scale mapping data.
Basic knowledge of the R software, as introduced in the tutorial Introduction into R, will be expected in this workshop. Due
to the computational demands of analyzing next generation sequencing
data with reasonable speed, users will work during this workshop on a
Linux cluster.
Manual for this workshop
Maximum number of participants: 20
How to sign up:
send chosen workshop date, your name, email address, title of your
position, lab affiliation (PI) and department information to
thomas.girke@ucr.edu.
Registration fee:
no charge for members from labs with an active subscription to the
bioinformatics services and $75 for non-registered participants.
Laptop requirements:
Participants will work during the course on a Linux cluster. Personal
laptops are required to log remotely into the cluster. For this, all
laptops need to have a functional wireless connection. In addition,
they will need a terminal application and a SCP software for file
exchange. Windows users should install for this purpose PuTTY and WinSCP. On Mac OS X systems, one can use the native terminal application and Fugu for file exchange. Linux systems usually have similar applications pre-configured.
Past Workshops
Analysis of High-Throughput Sequencing Data with R and Bioconductor
Date: Thu, March 26, 2009 (2:30-7:00pm)
Location: 1104 Batchelor Hall, UC Riverside
Instructors: Tyler Backman & Thomas Girke
Description:
R and Bioconductor provide extensive utilities for analyzing
high-throughput sequencing data from next generation technologies, such
as Illumina (Solexa). This workshop will cover the following topics:
(1) basic sequence and string handling in R; (2) quality assessment
utilities; (3) quality filtering; (4) adaptor trimming; (5) sequence
alignments; (6) interacting with external
alignments programs from R, e.g. SOAP, Maq, Bowtie; (7) read
density and SNP analysis; and (8) visualization of genome-scale mapping data.
Basic knowledge of the R software, as introduced in the tutorial Introduction into R, will be expected in this workshop. Due
to the computational demands of analyzing next generation sequencing
data with reasonable speed, users will work during this workshop on a
Linux cluster.
Manual for this workshop
Maximum number of participants: 20
How to sign up:
send chosen workshop date, your name, email address, title of your
position, lab affiliation (PI) and department information to
thomas.girke@ucr.edu.
Registration fee: no charge for members from labs with an active subscription to the bioinformatics services and $75 for non-registered participants.
Laptop requirements:
Participants will work during the course on a Linux cluster. Personal
laptops are required to log remotely into the cluster. For this, all
laptops need to have a functional wireless connection. In addition,
they will need a terminal application and a SCP software for file
exchange. Windows users should install for this purpose PuTTY and WinSCP. On Mac OS X systems, one can use the native terminal application and Fugu for file exchange. Linux systems usually have similar applications pre-configured.

