Workflows
What is a Workflow?Filters
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.
The workflow takes a (trimmed) Long reads collection, runs Meryl to create a K-mer database, Genomescope2 to estimate genome properties and Smudgeplot to estimate ploidy (optional). The main results are K-mer database and genome profiling plots, tables, and values useful for downstream analysis. Default K-mer length and ploidy for Genomescope are 31 and 2, respectively.
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.
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 CryoSPARC.
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: ...