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<p>Dear 3DEM community</p>
<p>I'm writing you here to announce that PySeg software (Nature
Methods 17:206-219(2020); <a
href="https://doi.org/10.1038/s41592-019-0675-5">https://doi.org/10.1038/s41592-019-0675-5</a>)
has also been released through GitHub <a
class="moz-txt-link-freetext"
href="https://github.com/anmartinezs/pyseg_system.git">https://github.com/anmartinezs/pyseg_system.git</a></p>
<div class="moz-signature">PySeg is a software for template-free
detection and classification of membrane associated complexes in
cryo-ET, which can handle with in situ structural heterogeneity.
PySeg is a powerful but sophisticated tool (open-source python
package + scripts), and under our experience the only way to go
for de novo approaches on sparsely distributed membrane proteins.<br>
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<div class="moz-signature"><br>
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<div class="moz-signature">As a new feature you can find a tutorial
in <a
href="https://github.com/anmartinezs/pyseg_system/blob/master/docs/tutorials/synth_sumb/synth_sumb.pdf">https://github.com/anmartinezs/pyseg_system/blob/master/docs/tutorials/synth_sumb/synth_sumb.pdf
<br>
</a></div>
<div class="moz-signature"><br>
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<div class="moz-signature">This tutorial contains code to generate
sinthetic input data so all results are reproducible (attached
some preview images), we strongly recommend users to complete this
tutorial before starting to process their experimental data. <br>
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<div class="moz-signature">Becuse every lab has its own workflow for
tomogram reconstruction, membrane segmentation and sub-tomogram
averaging, don't hesitate to contact with us if you need
consulting to integrate PySeg into your workflow.</div>
<div class="moz-signature"><br>
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<div class="moz-signature">Best regards</div>
<div class="moz-signature"><br>
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Antonio Martinez-Sanchez and Vladan Lucic
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