Workflows

What is a Workflow?
370 Workflows visible to you, out of a total of 400

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

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: ...

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 CryoSPARC.

Type: Scipion

Creators: None

Submitter: Daniel Marchan

Image processing from movies to micrographs, including CTF estimation and quality filters for image curation.

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 per-frame shift = 30; Global drift = 120.

  • CTF Consensus Filters: Adapted to 6.5 Å and 8.5 Å resolution cutoffs.

  • **Defocus ...

Type: Scipion

Creators: None

Submitter: Daniel Marchan

Stable

Image processing pipeline from movies to micrographs, including CTF estimation and quality filters for image curation.

Type: Scipion

Creators: None

Submitter: Daniel Marchan

A Retrieval-Augmented Knowledge Mining Method with Deep Thinking LLMs for Biomedical Research and Clinical Support

Introduction

Knowledge graphs and large language models (LLMs) serve as key tools for biomedical knowledge integration and reasoning, facilitating the structured organization of literature and the discovery of deep semantic relationships. However, existing methods still face challenges in knowledge mining and cross-document reasoning: knowledge graph construction is constrained ...

Type: Unrecognized workflow type

Creator: Yichun Feng

Submitter: Yichun Feng

DOI: 10.48546/workflowhub.workflow.1744.1

A Retrieval-Augmented Knowledge Mining Method with Deep Thinking LLMs for Biomedical Research and Clinical Support

Introduction

Knowledge graphs and large language models (LLMs) serve as key tools for biomedical knowledge integration and reasoning, facilitating the structured organization of literature and the discovery of deep semantic relationships. However, existing methods still face challenges in knowledge mining and cross-document reasoning: knowledge graph construction is constrained ...

Type: Unrecognized workflow type

Creators: None

Submitter: Yichun Feng

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