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DTSTAMP:20260715T142212Z
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DTSTART:20230906T030000Z
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DESCRIPTION:RNA sequencing (RNAseq) is a powerful technique for investigati
 ng gene expression in biological samples. Processing and analysing RNAseq 
 data involves multiple steps to align raw sequence reads to a reference ge
 nome\, count the number of reads mapped to each gene\, and perform statist
 ical analyses to identify differentially expressed genes and functionally 
 annotate them. RNAseq experiments have many different applications as we a
 pply them to a variety of research questions and organisms. This diversity
  of applications can make it challenging to appreciate all the design cons
 iderations\, processing requirements\, and limitations of RNAseq experimen
 ts as they apply to you.\n\nIn this webinar\, you will gain an understandi
 ng of the key considerations for designing and performing your own success
 ful experiments with bulk RNA. We’ll start at the lab bench with RNA ext
 raction\, quality control\, and library preparation\, then move to the seq
 uencing machine where you will make essential decisions about sequencing p
 latforms\, optimal sequencing depth\, and the importance of replicates. We
 ’ll talk about bioinformatics workflows for RNAseq data processing and t
 he computational requirements of transforming raw sequencing reads to anal
 ysis-ready count data. Finally\, we’ll discuss how to apply differential
  expression and functional enrichment analyses to gain biological insights
  from differentially expressed genes.\n\n**Speaker:** \n\nDr Nandan Deshpa
 nde\, Senior Research Bioinformatician\, Sydney Informatics Hub\n\n\n**Dat
 e/Time:** 06 September 2023\,  1 - 2pm AEST/ 12:30 - 1:30 pm ACST / 11 am 
 - 1 pm AWST\n\n**Who the webinar is for:**\n\n\nThis webinar is targeted t
 owards those interested in applying RNAseq datasets to their research ques
 tions and who wish to gain a deeper understanding of the design considerat
 ions\, processing requirements and limitations of RNAseq experiments.\n\n*
 *How to join:**\n\nThis webinar is free to join but you must register for 
 a place in advance.\n\n**[Register here](https://unimelb.zoom.us/webinar/r
 egister/WN_Tza2ns06SUqfVQb0QVOmtA)**
SUMMARY:WEBINAR: Getting started with RNAseq: Transforming raw reads into b
 iological insights
URL;VALUE=URI:https://www.biocommons.org.au/events/rnaseqwebinar
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