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DTSTAMP:20261013T002138Z
UID:7fc7a605-ddc7-4d65-a312-0679e4c790d6
DTSTART:20261125T090000Z
DTEND:20261125T170000Z
DESCRIPTION:Assembly combines overlapping sequencing reads into longer sequ
 ences called contigs. It offers a different view of a community from read-
 level profiling: contigs can preserve longer stretches of genomic context\
 , and the quality of their assembly is evaluated on the basis of different
  criteria\, as it may depend on sequencing depth\, community complexity\, 
 and the sequencing technology used. We will introduce the foundations of s
 hort-read and long-read assembly and discuss the trade-offs that shape the
  resulting contigs.We will then tour through the MGnify’s assembly pipel
 ine and methods for the quality assessment of the results. In addition\, w
 e will explore how sequence features are annotated\, including taxonomic a
 nd functional information\, and use the contig viewer visualisation on the
  MGnify website to inspect annotations in their genomic neighbourhood. A w
 orked example will show how a biological question can guide exploration of
  an assembly\, while keeping in mind that individual contigs may be incomp
 lete and do not necessarily represent a whole genome.This event is part of
  the webinar series “Making sense of metagenomics data with MGnify”. Y
 ou can follow the link for more information about the series and its webin
 ars.
LOCATION:\, 
SUMMARY:Rebuilding microbial genomes with MGnify: from reads to contigs ann
 otation
URL;VALUE=URI:https://www.ebi.ac.uk/training/events/rebuilding-microbial-ge
 nomes-mgnify-reads-contigs-annotation
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