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DTSTAMP:20260711T122353Z
UID:94c51fd5-edf1-4ae8-bb92-bc45c94e04a3
DTSTART:20240602T080000Z
DTEND:20240607T130000Z
DESCRIPTION:The kingdom of Fungi encompasses a diverse range of organisms a
 dapted to various environmental niches\, playing crucial roles in ecosyste
 ms\, human/animal/plant health\, and global food security. Species like Fu
 sarium\, Pyricularia\, Ustilago\, Puccinia\, and Zymoseptoria\, etc. threa
 ten agricultural ecosystems and food security worldwide. Fungal pathogens 
 such as Aspergillus\, Candida\, Mucor\, Cryptococcus\, Histoplasma\, Cocci
 dioides\, Batrachochytrium\, and others are of great concern for medical a
 nd veterinary professionals due to their potential to cause allergies\, il
 lnesses\, and life-threatening infections. Furthermore\, fungi serve as es
 sential model systems in basic and applied research and play pivotal roles
  in biotechnology\, food production\, biomedical and pharmaceutical resear
 ch and the biofuel industry.\n\nHigh-throughput ‘omics’ data technolog
 ies empower scientists to conduct extensive analyses of the genomes\, tran
 scriptomes\, proteomes\, genetic variance data of a wide array of fungal a
 nd oomycete organisms. These analyses are essential for inquiries regardin
 g pathogenicity\, host-pathogen interactions\, and the discovery of novel 
 drug targets. To enhance accessibility and re-use of data\, and facilitate
  analysis of different types of data\, several web-based bioinformatic res
 ources have been developed.\n\nThis week-long course represents a collabor
 ative teaching effort involving the following resources dedicated to suppo
 rting research on fungal and oomycete species:\n\nFungiDB/VEuPathDB \nEnse
 mbl Fungi/EBI\nSGD/CGD \nMycoCosm/JGI\nThe Fungal Pathogen Genomics course
  offers hands-on training on how to use unique\, web-based tools provided 
 by individual resources and apply them to both public and private datasets
 . Participants will learn to formulate testable hypotheses and explore gen
 omes\, functional omics datasets (transcriptomics\, SNP\, proteomics\, etc
 .) and other data types across multiple databases.\n\nTarget audience\nThi
 s course is aimed at graduate students\, postdocs\, clinical scientists\, 
 clinicians/healthcare professionals or lab heads working on fungal pathoge
 ns.
SUMMARY:Fungal Pathogen Genomics
URL;VALUE=URI:https://coursesandconferences.wellcomeconnectingscience.org/e
 vent/fungal-pathogen-genomics-20240602/
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