Omics Notebook: robust, reproducible and flexible automated multiomics exploratory analysis and reporting

被引:5
作者
Blum, Benjamin C. [1 ,2 ]
Emili, Andrew [1 ,2 ,3 ]
机构
[1] Boston Univ, Ctr Network Syst Biol, Boston, MA 02118 USA
[2] Boston Univ, Sch Med, Boston, MA 02118 USA
[3] Boston Univ, Dept Biol, Boston, MA 02215 USA
来源
BIOINFORMATICS ADVANCES | 2021年 / 1卷 / 01期
关键词
D O I
10.1093/bioadv/vbab024
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
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 multiomic data that are automated, reproducible and customizable. Built-in functions allow the 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. In addition, the use of containerization manages R package installation requirements and is tailored for shared high-performance computing or cloud environments.
引用
收藏
页数:4
相关论文
共 2 条
  • [1] An automated simulator-independent workflow for reproducible simulation and analysis using Lancet and IPython Notebook
    Jean-Luc R Stevens
    Marco Elver
    James A Bednar
    BMC Neuroscience, 14 (Suppl 1)
  • [2] OpenCyto: An Open Source Infrastructure for Scalable, Robust, Reproducible, and Automated, End-to-End Flow Cytometry Data Analysis
    Finak, Greg
    Frelinger, Jacob
    Jiang, Wenxin
    Newell, Evan W.
    Ramey, John
    Davis, Mark M.
    Kalams, Spyros A.
    De Rosa, Stephen C.
    Gottardo, Raphael
    PLOS COMPUTATIONAL BIOLOGY, 2014, 10 (08)