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GenErode pipeline

Snakemake

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

If you've ...

Type: Snakemake

Creators: None

Submitter: Verena Kutschera

GitHub Actions CI Status

GitHub Actions Linting StatusAWS CI[![Cite ...

Type: Nextflow

Creator: Clinical Genomics Stockholm

Submitter: WorkflowHub Bot

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.

Type: Nextflow

Creators: Joon-Klaps , Joon-Klaps

Submitter: WorkflowHub Bot

GitHub Actions CI Status GitHub Actions Linting Status AWS CI [![Cite ...

Type: Nextflow

Creator: Pixelgen Technologies AB

Submitter: WorkflowHub Bot

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.

Type: Scipion

Creators: None

Submitter: Daniel Marchan

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.

Type: Scipion

Creators: None

Submitter: Daniel Marchan

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 ...

Type: Scipion

Creators: None

Submitter: Daniel Marchan

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.

Type: Scipion

Creators: None

Submitter: Daniel Marchan

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 ...

Type: Scipion

Creators: None

Submitter: Daniel Marchan

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.

Type: Scipion

Creators: None

Submitter: Daniel Marchan

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