2019 EMDataResource Model Metrics Challenge Dataset
DOI10.5281/zenodo.4148789Zenodo4148789MaRDI QIDQ6701526
Dataset published at Zenodo repository.
Author name not available (Why is that?)
Publication date: 28 October 2020
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This is the full dataset of the 2019 Cryo-EM Map-based Model Metrics Challenge sponsored by EMDataResource (www.emdataresource.org, challenges.emdataresource.org, model-compare.emdataresource.org). The goals of this challenge were (1) to assess the quality of models that can be produced using current modeling software, (2) to check the reproducibility of modeling results from different software developers and users, and (3) compare the performance of current metrics used for evaluation of models. The focus was on near-atomic resolution maps with an innovative twist: three of four target maps formed a resolution series (1.8 to 3.1 Å) from the same specimen and imaging experiment. Tools developed in previous challenges were expanded for managing, visualizing and analyzing the 63 submitted coordinate models, and several new metrics were introduced. File Descriptions: 2019-EMDataResource-Challenge-web.pdf: Archive of News, Goals, Timeline, Targets, Modelling Instructions, Process, FAQ, Submission Instructions, Submission Summary Statistics source from the EMDR Challenges website correlation-images.tar.gz: Pairwise correlation tables for selected metric scores from the EMDR Model Compare website maps.tar.gz: The maps used for Fit-to-Map analyses in the Challenge models.tar.gz: The 63 models submitted by the modelling teams results.tar.gz: The output logs for all of the analysis methods Scores.xlsx: Scores for each model and analysis method, compiled into spreadsheet format targets.tar.gz: The reference models used in the analysis Post submission correction to the web archive PDF document: The full list of EMDataResource members on the model committee is as follows: Cathy Lawson, Andriy Kryshtafovych, Greg Pintilie, Mike Schmid, Helen Berman, Wah Chiu.
This page was built for dataset: 2019 EMDataResource Model Metrics Challenge Dataset
