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AMP Strategic ROADMAP

ABOUT: The Analysis, Modelling and Prediction (AMP) workstream (formerly known as Variant Scoring Tools and Methods) will develop strategies to assess variant scoring, error estimation and visualization methods. AMP will evaluate the impact of experimental design choices like library complexity, number of independent cells and sequencing depth on the accuracy of scoring and error estimation. AMP will also be responsible for developing reporting standards to enable evaluation of the quality of MAVE datasets in terms of internal controls, replicability and minimal information to be included.

Workstream lead(s):

Joseph Marsh (University of Edinburgh) and Vikas Pejaver (Institute for Genomic Health and the Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai)

Contributors/ Members:

Mafalda Dias (CRG)
Jonathan Frazer (CRG)
Justin Kinney (Cold Spring Harbor Laboratory)
Sushant Kumar (University of Toronto)
Kresten Lindorff-Larsen (Copenhagen University)
David McCandlish (Cold Spring Harbor Laboratory)
Kyriaki Michailidou (Cyprus Institute of Neurology and Genetics)
Victoria Offord (Wellcome Sanger Institute)
Rose Orenbuch (Harvard Medical School)
Fabrizio Pucci  (Université Libre de Bruxelles)
Courtney Shearer (Harvard University)
Jimmie Ye  (UC San Francisco)
Juannan Zhou (University of Florida)