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GenErode pipeline
GitHub repository for GenErode, a Snakemake workflow for the analysis of whole-genome sequencing data from historical and modern samples to study patterns of genome erosion.
Documentation
The full pipeline documentation can be found on the repository wiki.
Citation
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A bioinformatics best-practice analysis pipeline for reconstructing consensus genomes and to identify intra-host variants from metagenomic sequencing data or enriched based sequencing data like hybrid capture.
Automated image processing from movies to 3D reconstruction. Includes CTF estimation, quality filters, box size estimation, picking model training, three 2D classification jobs (25k, 50k, and 100k particles), and 3D processing of the first 200k particles. Multiple 3D models are generated without symmetry, with automatic 2D and 3D class selection, using Relion.
Automated image processing from movies to 3D reconstruction. Includes CTF estimation, quality filters, box size estimation, picking model training, three 2D classification jobs (25k, 50k, and 100k particles), and 3D processing of the first 200k particles. Multiple 3D models are generated without symmetry, with automatic 2D and 3D class selection, using Relion.
Automated image processing from movies to 3D reconstruction. Includes CTF estimation, quality filters, box size estimation, picking model training, three 2D classification jobs (25k, 50k, and 100k particles), and 3D processing of the first 200k particles. Multiple 3D models are generated without symmetry, with automatic 2D and 3D class selection, using CryoSPARC.
Adapting to Tilted Samples
To process tilted experiments, use ”tilted” templates. These are modified workflows tailored to handle ...
Automated image processing from movies to 3D reconstruction. Includes CTF estimation, quality filters, box size estimation, picking model training, three 2D classification jobs (25k, 50k, and 100k particles), and 3D processing of the first 200k particles. Multiple 3D models are generated without symmetry, with automatic 2D and 3D class selection, using CryoSPARC.
Automated image processing from movies to 2D classes. Includes CTF estimation, quality filters, box size estimation, training a data-specific picking model, and three 2D classification jobs (25k, 50k, and 100k particles) using Relion.
Adapting to Tilted Samples
To process tilted experiments, use ”tilted” templates. These are modified workflows tailored to handle high drift and lower resolution commonly observed in tilted samples. Key adjustments include:
- Motion Correction Filters: Max ...
Automated image processing from movies to 2D classes. Includes CTF estimation, quality filters, box size estimation, training a data-specific picking model, and three 2D classification jobs (25k, 50k, and 100k particles) using Relion.
Tests