ICBdocker: a Docker image for proteome annotation and visualization | Zendy

Nicola Bordin | Zendy; Damien P. Devos | Zendy

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ICBdocker: a Docker image for proteome annotation and visualization

Author(s) -

Nicola Bordin,

Damien P. Devos

Publication year - 2018

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/bty493

Subject(s) - perl , computer science , python (programming language) , documentation , scalability , annotation , source code , pipeline (software) , visualization , software , proteome , modularity (biology) , application programming interface , programming language , world wide web , information retrieval , database , data mining , bioinformatics , artificial intelligence , genetics , biology

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.

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