[3dem] [ccpem] Variance map of volumes

[Penczek, Pawel A]

Dear Reza,

sxvar.py is meant to compute variance and eigenvolumes (i.e., it will do PCA and return eigenvectors)
of a set of volumes emerging from bootstrap approach.  However, it can be used to compute variance
(and eigenvolumes) of any set of volumes.  There is also sxpca.py that will simply compute PCA.

However, it you are interested in just the variance, this can be easily done within an interactive session of sx.py.

Please write directly if you need more help.

Regards,
—
Pawel A. Penczek, Ph.D.
Professor
Structural Biology Imaging Center, Director
The University of Texas
phone: 713-500-5416
fax: 713-500-0652
https://med.uth.edu/bmb/faculty/pawel-a-penczek/




On 20/07/2017 19:39, Reza Khayat wrote:
Hi,

Can anyone recommend software that can calculate variance maps among several dozens of volumes? I’m aware of sxvar.py from Sparx. Thanks.

Best wishes,
Reza

Reza Khayat, PhD
Assistant Professor
Department of Chemistry
City College of New York
85 Saint Nicholas Terrace, CDI 2.318
New York, NY 10031
http://www.khayatlab.org/<https://urldefense.proofpoint.com/v2/url?u=http-3A__www.khayatlab.org_&d=DwMF-g&c=6vgNTiRn9_pqCD9hKx9JgXN1VapJQ8JVoF8oWH1AgfQ&r=vDDf9rsFxPMXm8JgJa6hc4B9V4qKr7wftnDkLIRdshI&m=ZHOZVdeMNkuSomnI0nhvrTIrIvXSTRxoY6FYIlagnc4&s=WOoh-uL--JqUbpvlCU1RAIc1TuU8NPKbdXxHsN-7Dz0&e=>
212-650-6070



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