Summary We introduce ICBdocker, a Docker environment that allows the annotation of functional and structural features of proteomes through a Python/Perl pipeline. DataTables pages make it easy to set up a web-resource for research groups with a focus on the same organisms or datasets. The results are available as tab-separated values files and HTML, allowing data analysis and browsing. The pipeline focuses on modularity and scalability, with capability of integrating with multi-processing and high-performance computing clusters. Availability and implementation ICBdocker is freely available on DockerHub at https://hub.docker.com/r/bordin89/icb/ Source code and documentation are available on GitHub at: https://github.com/bordin89/ICB-docker.
ICBdocker: A Docker image for proteome annotation and visualization
Bordin N.
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2018
Abstract
Summary We introduce ICBdocker, a Docker environment that allows the annotation of functional and structural features of proteomes through a Python/Perl pipeline. DataTables pages make it easy to set up a web-resource for research groups with a focus on the same organisms or datasets. The results are available as tab-separated values files and HTML, allowing data analysis and browsing. The pipeline focuses on modularity and scalability, with capability of integrating with multi-processing and high-performance computing clusters. Availability and implementation ICBdocker is freely available on DockerHub at https://hub.docker.com/r/bordin89/icb/ Source code and documentation are available on GitHub at: https://github.com/bordin89/ICB-docker.
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