EMPIAR-10369 - Human delta protocadherin 1 full ectodomains on membranes, tomogram 3 [multiple data sets in MRC and TIFF formats]

EMPIAR-10369

Human delta protocadherin 1 full ectodomains on membranes, tomogram 3 [multiple data sets in MRC and TIFF formats]

Publication:

Family-wide Structural and Biophysical Analysis of Binding Interactions among Non-clustered δ-Protocadherins

Harrison OJ, Brasch J, Katsamba PS, Ahlsen G, Noble AJ, Dan H, Sampogna R, Potter CS, Carragher B, Honig B, Shapiro L

Cell Reports 30 (2020) 2655-2671.e7

PMID: 32101743

DOI: 10.1016/j.celrep.2020.02.003

Related EMDB entry:

EMD-21190

Deposited:

2020-01-08

Released:

2020-07-21

Last modified:

2020-07-21

Imageset size:

114.33 GB

Imageset DOI:

10.6019/EMPIAR-10369

Experimental metadata:

Download xml json

Contains:

tilt series
micrographs - multiframe

Image Sets

1. Appion-Protomo tilt-series alignments

Category:

tilt series

Image format:

MRC

No. of images or tilt series:

Image size:

(3710, 3838)

Pixel type:

32 BIT FLOAT

Pixel spacing:

(1.836, 1.836)

Details:

Includes a full tilt-series alignment run for the published tilt-series.
To view properly, navigate to the protomo_alignments folder in Appion-Protomo.

Note: frames, leginon images, and other tilt-series alignments are in EMPIAR-10368.

Files:

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2. K2 tilt-series frames

Category:

micrographs - multiframe

Image format:

TIFF

No. of images or tilt series:

Image size:

(3710, 3838)

Pixel type:

UNSIGNED 16 BIT INTEGER

Pixel spacing:

(1.836, 1.836)

Details:

TIF-compressed tilt image frames.

Files:

Archives and downloads the selected files into an uncompressed zip file.

We recommend using rsync, aspera, globus, etc.

Download a list of selected files.

It is possible to download files by specifying the file list with rsync command, etc.

rsync -av --files-from=(path-to-filelist) rsync://empiar.pdbj.org/empiar/archive (path-to-destination)

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Citations

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PERC: a suite of software tools for the curation of cryoEM data with application to simulation, modeling and machine learning.

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