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Bioinformatics Advances, 2021

DOI: 10.1093/bioadv/vbab024

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Omics Notebook: Robust, reproducible, and flexible automated multi-omics exploratory analysis and reporting

Journal article published in 2021 by Benjamin C. Blum, Andrew Emili
Distributing this paper is prohibited by the publisher
Distributing this paper is prohibited by the publisher

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Data provided by SHERPA/RoMEO

Abstract

Abstract Summary Mass spectrometry is an increasingly important tool for the global interrogation of diverse biomolecules. Unfortunately, the complexity of downstream data analysis is a major challenge for the routine use of these data by investigators from broader training backgrounds. Omics Notebook is an open-source framework for exploratory analysis, reporting, and integrating multi-omic data that is automated, reproducible, and customizable. Built-in functions allow processing of proteomic data from MaxQuant and metabolomic data from XCMS, along with other omics data in standardized input formats as specified in the documentation. Additionally, the use of containerization manages R package installation requirements and is tailored for shared HPC or cloud environments. Availability and Implementation Omics Notebook is implemented in Python and R and is available for download from (https://github.com/cnsb-boston/Omics_Notebook) with additional documentation under a GNU GPLv3 license.