Linked Life Data

20702397

Source:http://linkedlifedata.com/resource/pubmed/id/20702397

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
19
pubmed:dateCreated
2010-9-24
pubmed:abstractText
Electron cryo-microscopy can be used to infer 3D structures of large macromolecules with high resolution, but the large amounts of data captured necessitate the development of appropriate statistical models to describe the data generation process, and to perform structure inference. We present a new method for performing ab initio inference of the 3D structures of macromolecules from single particle electron cryo-microscopy experiments using class average images.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Oct
pubmed:issn
1367-4811
pubmed:author
pubmed:issnType
Electronic
pubmed:day
1
pubmed:volume
26
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
2406-15
pubmed:meshHeading
pubmed:year
2010
pubmed:articleTitle
A Bayesian method for 3D macromolecular structure inference using class average images from single particle electron microscopy.
pubmed:affiliation
Department of Computer Science, University of Toronto, Toronto, ON, Canada. ndjaitly@cs.toronto.edu
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't