annotategenes
annotategenes annotates sequencing-derived peaks with promoters, enhancers, exons, introns, and other regulatory elements to interpret the functional implications of high-throughput and epigenomic data, including transcription factor binding sites and histone modifications.
Key Features:
- Genomic Feature Annotation: Maps peaks from sequencing datasets to promoters, enhancers, exons, introns, and other regulatory elements.
- Visualization: Generates .png files that represent the distribution and density of annotated peaks across genomic features.
- Epigenomic Signal Support: Identifies regions relevant to transcription factor binding sites and histone modifications from sequencing data.
- Integration with Galaxy Project: Integrates with the Galaxy project's infrastructure to enable workflow tracking and reproducibility of analyses.
- High-throughput Data Processing: Employs statistical and computational methods to process large datasets generated by next-generation sequencing technologies.
Scientific Applications:
- Epigenomics Research: Annotates peaks to explore the epigenetic landscape and identify regulatory regions associated with chromatin states.
- Transcriptional Regulation Studies: Locates enhancers and promoters relative to genes to inform analyses of transcriptional control mechanisms.
- Comparative Genomic Analysis: Supports comparison of regulatory elements across conditions or species to assess conservation and divergence.
Methodology:
Maps peaks from sequencing datasets to known genomic features and applies statistical and computational methods to process large next-generation sequencing datasets, outputs .png visualizations, and integrates with the Galaxy project's infrastructure for workflow tracking and reproducibility.
Topics
Collections
Details
- Maturity:
- Mature
- Tool Type:
- web application
- Operating Systems:
- Linux, Windows, Mac
- Added:
- 12/19/2016
- Last Updated:
- 11/25/2024
Operations
Data Inputs & Outputs
Peak calling
Publications
Mareuil F, Doppelt-Azeroual O, Ménager H. A public Galaxy platform at Pasteur used as an execution engine for web services. Unknown Journal. 2017. doi:10.7490/f1000research.1114334.1.
Afgan E, Baker D, van den Beek M, Blankenberg D, Bouvier D, Čech M, Chilton J, Clements D, Coraor N, Eberhard C, Grüning B, Guerler A, Hillman-Jackson J, Von Kuster G, Rasche E, Soranzo N, Turaga N, Taylor J, Nekrutenko A, Goecks J. The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2016 update. Nucleic Acids Research. 2016;44(W1):W3-W10. doi:10.1093/nar/gkw343. PMID:27137889. PMCID:PMC4987906.