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DTSTAMP:20260615T020156Z
UID:67eab1df-789c-435a-be90-41333dbf2c49
DTSTART:20221109T090000Z
DTEND:20221109T170000Z
DESCRIPTION:Chemosensitivity assays are commonly used for preclinical drug 
 discovery and clinical trial optimisation. However\, poor inter- and intra
 -laboratory reproducibility has been reported\, largely attributed to unch
 aracterised variation in the assay protocols. Central to improving the dat
 a reproducibility is the standardisation of assay ontologies using minimal
  information (MI).\n\nTo facilitate the open data in chemosensitivity assa
 ys\, we have launched MICHA (minimal information for chemosensitivity assa
 ys) available at [http://micha-protocol.org](http://micha-protocol.org)). 
 MICHA is an integrative pipeline to annotate chemosensitivity assays based
  on four major components\, including (1) compounds\, (2) samples\, (3) re
 agents\, and (4) data processing references.\n\nThis webinar will demonstr
 ate how MICHA can automatically extract publicly available information for
  compounds including primary and secondary targets\, disease indications a
 nd physio-chemical properties. Users may next fill in the annotations incl
 uding cell line or patient clinical variables\, assay types\, detection te
 chnologies and other experimental parameters. Finally\, a tabular report c
 an be generated to include the annotation results for the users to downloa
 d. In addition\, users may also browse the catalogue of drug sensitivity a
 ssay protocols which were already FAIRified by MICHA.\n\nUsing the platfor
 m of MICHA\, we aim to increase acceptance and adoption of the principles 
 of FAIR (Findable\, Accessible\, Interoperable and Reusable)\, by making t
 he assay annotation as smoothly as possible.  This webinar will showcase 
 the utility of MICHA\, including FAIRified protocols from several major ca
 ncer drug screening studies (including CCLE\, CTRP\, GDSC)\, as well as re
 cently conducted COVID-19 drug screening studies.
LOCATION:\, 
SUMMARY:Improving data reproducibility for chemosensitivity assays using MI
 CHA
URL;VALUE=URI:https://www.ebi.ac.uk/training/events/improving-data-reproduc
 ibility-chemosensitivity-assays-using-micha
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