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DTSTAMP:20260618T164132Z
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DTSTART:20210923T000000Z
DTEND:20210923T030000Z
DESCRIPTION:Explore the many useful functions that the Bioconductor environ
 ment offers for working with genomic data and other biological sequences. 
 \n\nDNA and proteins are often represented as files containing strings of 
 nucleic acids or amino acids. They are associated with text files that pro
 vide additional contextual information such as genome annotations.\n\nThis
  workshop provides hands-on experience with tools\, software and packages 
 available in R via Bioconductor for manipulating\, exploring and extractin
 g information from biological sequences and annotation files. We will look
  at tools for working with some commonly used file formats including FASTA
 \, GFF3\, GTF\, methods for identifying regions of interest\, and easy met
 hods for obtaining data packages such as genome assemblies. \n\n**Date/tim
 e:** 10am-1pm AEST\, Thursday 23 September 2021\n\n**Lead Trainer:** Dr Pa
 ul Harrison\, Monash Bioinformatics Platform\n\n**Learning outcomes**\n\nA
 fter attending this workshop\, participants will be able to:\n\n\n\n1. Wor
 k with data types in R representing DNA and amino-acid sequences\, and gen
 omic ranges (representing things such as genes\, transcripts\, exons\, mot
 if matches\, or results of peak-calling).\n2. Perform useful operations on
  genomic ranges such as finding overlaps between two sets of ranges.\n3. L
 oad and save data in commonly used file formats\, appreciate some of the a
 dvantages and disadvantages of different formats.\n4. Install Bioconductor
  packages\, find relevant documentation\, and be aware of differences betw
 een the Bioconductor and base R ways of doing things.\n\n**Who the worksho
 p is for**\n\nThis workshop is open to Australian students and researchers
  who are using Bioconductor to analyse their life science data. It is not 
 suitable for absolute beginners.\n\nSome familiarity with R is assumed (pr
 ospective participants should already be comfortable with [basic R concept
 s](https://monashdatafluency.github.io/r-intro-2)).\n\nParticipants will n
 eed to have [RStudio](https://rstudio.com/products/rstudio/download/) and[
  R](https://cran.r-project.org/) ready for use on their laptop.\n\nPartici
 pants should have used a few Bioconductor packages\, perhaps having worked
  through a tutorial vignette to perform a standard data analysis task. Thi
 s workshop will assist those who are now interrogating their data in a way
  that requires going off the beaten path\, or perhaps needing to better un
 derstand package vignettes mentioning things like "GRanges" and "TxDb". \n
 \n**How to apply**\n\nThis workshop is free but participation is subject t
 o application with selection. Applications close at 5pm AEST Thursday 9 Se
 p 2021.\n\nYou must be associated with an Australian organisation and prov
 ide an appropriate organisational email address for your application to be
  considered. \n\nApplications will be reviewed by the organising committee
  and all applicants will be informed of the status of their application (s
 uccessful\, waiting list\, unsuccessful) by Monday 13 Sep 2021. Successful
  applicants will be provided with a Zoom meeting link closer to the date.\
 n\n**[Apply here](https://bioconductor-genomics.eventbrite.com.au/)**\n\nT
 his workshop is presented by the [Australian BioCommons](https://www.bioco
 mmons.org.au/) and[ Monash Bioinformatics Platform](https://www.monash.edu
 /researchinfrastructure/bioinformatics/home) with the assistance of a netw
 ork of facilitators from the national [Bioinformatics Training Cooperative
 ](https://www.biocommons.org.au/training-cooperative).\n\nTo hear when reg
 istrations open for other events\, please [subscribe](https://www.biocommo
 ns.org.au/subscribe) to the Australian BioCommons’ eNewsletter.\n
SUMMARY:WORKSHOP: Working with genomic sequences and features in R with Bio
 conductor
URL;VALUE=URI:https://www.biocommons.org.au/events/bioconductor-genome
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