Datasets - "Counting particles in cryo-electron microscopy may result in incorrect population estimates"
Description
Datasets associated with the paper "Counting particles in cryo-electron microscopy may result in incorrect population estimates".
igg
particles.256_igg.mrcs - particles for the simulated igg dataset used in the manuscript.
particles_igg.star - star associated with particles.256_igg.mrcs
volumes_igg.zip - volumes for simulating the igg dataset. These volumes were simulated from the 100 pdbs in CryoBench, see the "IgG-1d" pdbs in their Zenodo
spike synthetic
spike_1up_3drest_nogly.pdb - pdb for the "1up" state of the spike used in the manuscript.
spike_3down_nogly.pdb - pdb for the "3down" state of the spike used in the manuscript.
particles.256_spike_noise_level_6.mrcs - particles for an example noise level (6th-highest noise) of the synthetic particles experiment in Fig. 1b of the manuscript
particles_spike_noise_level_6.star - star associated with particles.256_spike_noise_level_6.mrcs
spike experimental
particles_spike_experimental_mixed_downsampled.star - star for the experimental data used in the mansuscript.
particles_spike_experimental_mixed_downsampled.mrc - particles for the experimental data used in the mansuscript.
The spike experimental particles are the result of fourier downsampling of the particles in EMPIAR 50421 and 50422, and a cryosparc restack to combine these with an 80/20 ratio.
In the star file, particles 1-28976 are from EMPIAR 50421, and particles 28977 to 36220 are from EMPIAR 50422.
Files
volumes_igg.zip
Files
(38.2 GB)
| Name | Size | Download all |
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md5:6dea5ae0fbe7ee47352782cc3e892232
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13.1 GB | Download |
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md5:8cae573162818602b4bf7afbb609d5de
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13.1 GB | Download |
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md5:5e7e287c7586655279f3cdedf93694dc
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19.5 MB | Download |
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md5:a92558db6810e081c00da61927e17fd6
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5.8 GB | Download |
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md5:b96b3904e7530b1d651653da938b7152
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5.6 MB | Download |
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md5:bef7dc5027f13b34b42872dec32e02ea
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19.7 MB | Download |
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md5:f7bcc1433c8445463a10cda5127f3ec2
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4.2 MB | Download |
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md5:4e27ab1ac832a4ad2a73ad228172ad28
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4.2 MB | Download |
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md5:031ef01d133449409863bf95d2e91766
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6.1 GB | Preview Download |
Additional details
Software
- Repository URL
- https://github.com/aevans1/counting_particles_paper
- Programming language
- Python
- Development Status
- Active