deepTools: a flexible platform for exploring deep-sequencing data

deepTools: a flexible platform for exploring deep-sequencing data

2014, Vol. 42, Web Server issue | Fidel Ramírez, Friederike Dündar, Sarah Diehl, Björn A. Grünig and Thomas Manke
The article introduces deepTools, a Galaxy-based web server designed for processing and visualizing deeply sequenced data. DeepTools consists of a suite of tools that enable users with limited bioinformatics background to explore sequencing results in a standardized and user-friendly manner. Key features include the ability to upload pre-processed files, generate heatmaps and summary plots, and perform various analyses on aligned read files. The platform is modular, open-source, and can be easily expanded to meet future demands. DeepTools is freely available at http://deeptools.ie-freiburg.mpg.de, accompanied by extensive documentation and tutorials. The web server supports quality control, data normalization, and visualization, making it suitable for routine analysis of large-scale data. The article also highlights the importance of user-friendly tools in facilitating the processing and interpretation of next-generation sequencing (NGS) data, which is increasingly used in various biological research areas.The article introduces deepTools, a Galaxy-based web server designed for processing and visualizing deeply sequenced data. DeepTools consists of a suite of tools that enable users with limited bioinformatics background to explore sequencing results in a standardized and user-friendly manner. Key features include the ability to upload pre-processed files, generate heatmaps and summary plots, and perform various analyses on aligned read files. The platform is modular, open-source, and can be easily expanded to meet future demands. DeepTools is freely available at http://deeptools.ie-freiburg.mpg.de, accompanied by extensive documentation and tutorials. The web server supports quality control, data normalization, and visualization, making it suitable for routine analysis of large-scale data. The article also highlights the importance of user-friendly tools in facilitating the processing and interpretation of next-generation sequencing (NGS) data, which is increasingly used in various biological research areas.
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