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DTSTAMP:20261013T011931Z
UID:db575cbf-a4b7-400e-9e6c-fac8331aa55f
DTSTART:20261105T090000Z
DTEND:20261216T170000Z
DESCRIPTION:[MGnify ](https://www.ebi.ac.uk/metagenomics/)is EMBL-EBI’s 
 resource for analysing\, discovering and exploring microbiome sequence dat
 a. It brings together public datasets and user-submitted data\, with analy
 sis workflows suited to different kinds of input. The website allows for b
 rowsing studies\, samples\, sequencing runs\, analyses and their results\,
  while downloads and the API support further exploration.\n\nAcross this w
 ebinar series\, we will move from broad community profiles towards increas
 ingly detailed views of microbial sequence data. We will begin with raw me
 tagenomic reads and assemblies\, then explore metagenome-assembled genomes
  and MGnify genome catalogues. We will then continue with a session on MGn
 ify Proteins that will illustrate the large protein sequence space derived
  from assemblies\, and conclude with a session on amplicon sequencing\, in
 troducing targeted marker-gene profiling as another way to ask who is pres
 ent in a community. \n\nWe recommend following the programme in sequence\
 , as each event builds on the one before it. However\, it’s important to
  remember that each data type answers different biological questions.\n\n*
 *The webinars making up this series are listed below. Follow the links to 
 find out more about each webinar. You will need to register for each webin
 ar you would like to attend. Recordings will be made openly available for 
 all webinars on their individual pages.**
LOCATION:\, 
SUMMARY:Making sense of metagenomics data with MGnify
URL;VALUE=URI:https://www.ebi.ac.uk/training/events/making-sense-metagenomi
 cs-data-mgnify
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