Buchumschlag

atomworks

Fuente: Zenodo

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Corley, Nathaniel, Mathis, Simon, Krishna, Rohith, Bauer, Magnus S., Thompson, Tuscan R., Ahern, Woody, Kazman, Maxwell W., Brent, Rafael I., Didi, Kieran, Kubaney, Andrew, McHugh, Liam, Nagle, Andrew, Favor, Adam, Kshirsagar, Meghana, Sturmfels, Pascal, Li, Yinuo, Butcher, John, Qiang, Bo, Schaaf, Luna L., Mitra, Ria, Campbell, Kerrie, Zhang, Opa, Weissman, Rose, Humphreys, Ian R., Cong, Qian, Jiang, Hanlun, Funk, Jason, Sonthalia, Satyaki, Lio, Pietro, Baker, David, DiMaio, Frank
Format:	Recurso digital
Veröffentlicht:	Zenodo 2025
Schlagworte:	bioinformatics machine-learning deep-learning protein-structure biotite structural-biology
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

_version_	1866902195176210432
author	Corley, Nathaniel Mathis, Simon Krishna, Rohith Bauer, Magnus S. Thompson, Tuscan R. Ahern, Woody Kazman, Maxwell W. Brent, Rafael I. Didi, Kieran Kubaney, Andrew McHugh, Liam Nagle, Andrew Favor, Adam Kshirsagar, Meghana Sturmfels, Pascal Li, Yinuo Butcher, John Qiang, Bo Schaaf, Luna L. Mitra, Ria Campbell, Kerrie Zhang, Opa Weissman, Rose Humphreys, Ian R. Cong, Qian Jiang, Hanlun Funk, Jason Sonthalia, Satyaki Lio, Pietro Baker, David DiMaio, Frank
author_facet	Corley, Nathaniel Mathis, Simon Krishna, Rohith Bauer, Magnus S. Thompson, Tuscan R. Ahern, Woody Kazman, Maxwell W. Brent, Rafael I. Didi, Kieran Kubaney, Andrew McHugh, Liam Nagle, Andrew Favor, Adam Kshirsagar, Meghana Sturmfels, Pascal Li, Yinuo Butcher, John Qiang, Bo Schaaf, Luna L. Mitra, Ria Campbell, Kerrie Zhang, Opa Weissman, Rose Humphreys, Ian R. Cong, Qian Jiang, Hanlun Funk, Jason Sonthalia, Satyaki Lio, Pietro Baker, David DiMaio, Frank
contents	A research-oriented data toolkit for training biomolecular deep-learning foundation models. AtomWorks provides tools for parsing, cleaning, manipulating, and converting biological data (structures, sequences, small molecules) as well as advanced dataset featurization and sampling for deep learning workflows.
format	Recurso digital
id	zenodo_https___doi_org_10_5281_zenodo_17872151
institution	Zenodo
language
publishDate	2025
publisher	Zenodo
record_format	zenodo
spellingShingle	atomworks Corley, Nathaniel Mathis, Simon Krishna, Rohith Bauer, Magnus S. Thompson, Tuscan R. Ahern, Woody Kazman, Maxwell W. Brent, Rafael I. Didi, Kieran Kubaney, Andrew McHugh, Liam Nagle, Andrew Favor, Adam Kshirsagar, Meghana Sturmfels, Pascal Li, Yinuo Butcher, John Qiang, Bo Schaaf, Luna L. Mitra, Ria Campbell, Kerrie Zhang, Opa Weissman, Rose Humphreys, Ian R. Cong, Qian Jiang, Hanlun Funk, Jason Sonthalia, Satyaki Lio, Pietro Baker, David DiMaio, Frank bioinformatics machine-learning deep-learning protein-structure biotite structural-biology A research-oriented data toolkit for training biomolecular deep-learning foundation models. AtomWorks provides tools for parsing, cleaning, manipulating, and converting biological data (structures, sequences, small molecules) as well as advanced dataset featurization and sampling for deep learning workflows.
title	atomworks
topic	bioinformatics machine-learning deep-learning protein-structure biotite structural-biology
url	https://doi.org/10.5281/zenodo.17872151