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DTSTAMP:20260705T013040Z
UID:0615f0a3-f878-4947-a9c2-c802e846c144
DTSTART:20210415T090000Z
DTEND:20210415T170000Z
DESCRIPTION:The value of a genome assembly depends heavily on the quality o
 f its accompanying genome annotation. Automated procedures for annotation 
 are therefore required that are robust to different genome characteristics
  and can efficiently and accurately annotate not only high-quality referen
 ce genomes but also large\, fragmented “draft” genomes. The benefits o
 f high-quality annotated genomes is well known - more accurate and complet
 e annotation enables better interpretation of genome information within an
 d across species\, aiding researchers in their work to understand biologic
 al processes.\n\nEarlham Institute (EI) has developed a number of tools to
  support high quality annotation (including Mikado and Portcullis). Mikado
  (PMID: 30052957) is an open-source Python3 and Cython program that provid
 es a framework for integrating transcripts from multiple sources into a co
 nsolidated set of gene annotations\, while Portcullis (PMID: 30418570) is 
 a tool to aid accurate splice junction detection. Both tools were utilised
  to aid the annotation of the wheat genome as part of the International wh
 eat genome sequencing consortium (IWGSC\, PMID: 30115783) and are being us
 ed to support EIs work in large collaborative genome sequencing projects s
 uch as the Wheat 10+ and Darwin Tree of Life\n\nIn this 3-day virtual cour
 se\, you will:\n- Get an overview of Next Generation Sequencing technologi
 es relevant to genome annotation\n- Gain a deeper understanding of the ben
 efits of each platform and have the confidence to select the right platfor
 m or combination of platforms for your project\n- Understand what to look 
 for in a sample that will pass quality control and that will likely succee
 d in producing viable sequencing data\, in particular expectations for pre
 -made libraries\n- Learn how to assess the quality of RNA-Seq data\n- Lear
 n about de novo and reference guided transcriptome assembly and steps for 
 processing long read data\n- Learn about alternative approaches for annota
 ting protein coding genes in eukaryotic species\n- Hands on experience of 
 annotation tools including tools and pipelines developed at the Earlham In
 stitute.\n\nWho is this event for?\nAdvanced PhD students and post-doctora
 l researchers who are undertaking projects involving annotating a genome a
 ssembly or generating transcriptome assemblies.\n\nPrerequisites\nYou are 
 expected to have experience with using the command line and will be lookin
 g to improve your awareness of different approaches and pipelines.\n\nThis
  training forms part of our BBSRC National Capability in Advanced Training
SUMMARY:Genome Annotation Workshop 2021
URL;VALUE=URI:https://www.earlham.ac.uk/genome-annotation-workshop-2021
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