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Last update: 16/11/10 



Illumina experts for
next-generation sequencing

Wednesday 24.11.2010

 10:15-11:15 Dr. Abizar Lakdawalla,
Industry Segment Manager - Sequencing Expert, Illumina
  Using 2nd generation sequencing technology
for an unprecedented view of the functional genome
 11:30-12:30 Dr. Lukas Smink
Bioinformatics Scientist, Illumina
  Next Generation Sequencing Data Analysis


Smaller hall on the entrance floor, Botnar building,
Ein-Kerem campus


Mr. Abizar Lakdawalla
Using 2nd generation sequencing technology for an unprecedented view of the functional genome.

2nd generation sequencing technology has transformed our understanding of the basic tenets of biology. In this seminar, we will discuss the most effective strategies for genome variation discovery, DNA methylation analyses, and transcriptional profiling and discovery on the Illumina sequencing platforms. In addition we will present novel applications such as determining protein translational profiles and analyzing RNA from formalin fixed paraffin embedded tissue sections. Contents:

  1. Illumina sequencing technology brief overview
  2. Sequencing genomes and methylomes at variable coverage for maximum cost effectiveness
  3. Analyzing the COMPLETE transcriptome coding and non-coding from small samples and from FFPE
  4. Novel applications RNAi targets, protein translation, protein-nucleic acid interactions

Dr. Lukas Smink
Illumina Next Generation Sequencing Analysis

The Illumina sequencing analysis can be split up in primary and secondary analysis. The primary analysis takes place on the instrument computer and involves the analysis of the images and the basecalling and associated quality scoring. All primary analysis process will be discussed in detail, as well as the alternative basecalling using the off-line basecaller. The Illumina secondary analysis is performed by the CASAVA software which is able to demultiplex runs which have multiple samples in a single lane, align using the GERALD alignment program, perform variant detection and counting studies for RNA sequencing.

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