AutoRELACS
AutoRELACS automates generation and analysis of ultra-parallel ChIP-seq data using the Restriction Enzyme-based Labeling of Chromatin in Situ (RELACS) protocol for high-throughput profiling of protein-DNA interactions genome-wide.
Key Features:
- Automation with Biomek i7: Implements the RELACS protocol on the Biomek i7 liquid handler workstation to automate library preparation.
- Chromatin barcoding: Applies chromatin barcoding strategies to multiplex samples prior to sequencing.
- High-throughput ChIP-seq generation: Produces standardized ChIP-seq libraries compatible with high-throughput sequencing.
- Integration with snakePipes: Is paired with the snakePipes automated computational pipeline for downstream data processing and analysis.
- Standardization and reduced variability: Automation standardizes sample processing to reduce human error and variability relative to manual RELACS.
- Compatibility with limited samples: Enables ultra-parallel profiling suited to experiments with limited biological input.
- Comparable data quality: Generates ChIP-seq data reported to be comparable to manually produced standards.
Scientific Applications:
- Epigenetic profiling: Enables epigenetic profiling via ChIP-seq measurements of protein-DNA interactions.
- Genome-wide interaction mapping: Supports genome-wide mapping of protein-DNA interactions using RELACS-derived ChIP-seq.
- Low-input high-throughput studies: Facilitates high-throughput comparative studies when biological material is limited.
Methodology:
Automated computational analysis of RELACS-derived ChIP-seq data is performed using the snakePipes pipeline to process samples from collection through biological interpretation.
Topics
Details
- License:
- MIT
- Tool Type:
- command-line tool
- Added:
- 1/18/2021
- Last Updated:
- 11/24/2024
Operations
Data Inputs & Outputs
DNA barcoding
Inputs
Outputs
Publications
Arrigoni L, Ferrari F, Weller J, Bella C, Bönisch U, Manke T. AutoRELACS: Automated Generation And Analysis Of Ultra-parallel ChIP-seq. Unknown Journal. 2020. doi:10.1101/2020.03.30.016287.
Arrigoni L, Ferrari F, Weller J, Bella C, Bönisch U, Manke T. AutoRELACS: automated generation and analysis of ultra-parallel ChIP-seq. Scientific Reports. 2020;10(1). doi:10.1038/s41598-020-69443-8. PMID:32709929. PMCID:PMC7381599.