python for data analysis: data wrangling with pandas, numpy, and jupyter Search Results


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RStudio r notebook
Overview of our approach. The author of the Bioconductor workflow uses BiocImageBuilder to generate a <t>Dockerfile</t> that describes the Bioconductor and CRAN packages installed. The Dockerfile and the notebook files are uploaded to a server or GitHub repository. A custom container is then built with the default Linux base image for Bioconductor, dependencies for Jupyter, JuptyerHub, and/or Binder, and the Bioconductor packages. For GitHub installations, the Binder server builds the container and provides a link to run the container on its public cluster. JupyterHub provides the same functionality locally or on a private server. Using the container, the end user is able to view the notebook and execute, modify, and save the code on his or her local machine regardless of whether it uses Linux, MacOS, or Windows. In the case where the container is run remotely, no additional installation of software is required on the part of the end user.
R Notebook, supplied by RStudio, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Ebooks Corporation jupyter notebooks
Overview of our approach. The author of the Bioconductor workflow uses BiocImageBuilder to generate a <t>Dockerfile</t> that describes the Bioconductor and CRAN packages installed. The Dockerfile and the notebook files are uploaded to a server or GitHub repository. A custom container is then built with the default Linux base image for Bioconductor, dependencies for Jupyter, JuptyerHub, and/or Binder, and the Bioconductor packages. For GitHub installations, the Binder server builds the container and provides a link to run the container on its public cluster. JupyterHub provides the same functionality locally or on a private server. Using the container, the end user is able to view the notebook and execute, modify, and save the code on his or her local machine regardless of whether it uses Linux, MacOS, or Windows. In the case where the container is run remotely, no additional installation of software is required on the part of the end user.
Jupyter Notebooks, supplied by Ebooks Corporation, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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RStudio rstudio/rshiny
Tool availability: summary representation of tools available to account holders in the Cloud Resources.
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European XFEL GmbH jupyter notebooks
Tool availability: summary representation of tools available to account holders in the Cloud Resources.
Jupyter Notebooks, supplied by European XFEL GmbH, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Tool availability: summary representation of tools available to account holders in the Cloud Resources.
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RStudio jupyter notebook
Tool availability: summary representation of tools available to account holders in the Cloud Resources.
Jupyter Notebook, supplied by RStudio, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/python+for+data+analysis%3A+data+wrangling+with+pandas%2C+numpy%2C+and+jupyter/pmc07593834-72-9-21?v=RStudio
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Image Search Results


Overview of our approach. The author of the Bioconductor workflow uses BiocImageBuilder to generate a Dockerfile that describes the Bioconductor and CRAN packages installed. The Dockerfile and the notebook files are uploaded to a server or GitHub repository. A custom container is then built with the default Linux base image for Bioconductor, dependencies for Jupyter, JuptyerHub, and/or Binder, and the Bioconductor packages. For GitHub installations, the Binder server builds the container and provides a link to run the container on its public cluster. JupyterHub provides the same functionality locally or on a private server. Using the container, the end user is able to view the notebook and execute, modify, and save the code on his or her local machine regardless of whether it uses Linux, MacOS, or Windows. In the case where the container is run remotely, no additional installation of software is required on the part of the end user.

Journal: Journal of the American Medical Informatics Association : JAMIA

Article Title: Reproducible Bioconductor workflows using browser-based interactive notebooks and containers

doi: 10.1093/jamia/ocx120

Figure Lengend Snippet: Overview of our approach. The author of the Bioconductor workflow uses BiocImageBuilder to generate a Dockerfile that describes the Bioconductor and CRAN packages installed. The Dockerfile and the notebook files are uploaded to a server or GitHub repository. A custom container is then built with the default Linux base image for Bioconductor, dependencies for Jupyter, JuptyerHub, and/or Binder, and the Bioconductor packages. For GitHub installations, the Binder server builds the container and provides a link to run the container on its public cluster. JupyterHub provides the same functionality locally or on a private server. Using the container, the end user is able to view the notebook and execute, modify, and save the code on his or her local machine regardless of whether it uses Linux, MacOS, or Windows. In the case where the container is run remotely, no additional installation of software is required on the part of the end user.

Article Snippet: Since our default option is to specify the versions of R/Bioconductor packages in the Dockerfile, reproducibility of results is ensured even between R/Bioconductor releases. table ft1 table-wrap mode="anchored" t5 Table 1. caption a7 Platform Author requirements Reader requirements R/Bioconductor Multi-user share Jupyter Python, Jupyter Python, Jupyter No No Jupyter/IRkernel Python, Jupyter, IRkernel Python, Jupyter, IRkernel Yes No R Notebook Rstudio Rstudio Yes No JupyterHub Docker server, Dockerfile Browser Yes Yes Binder GitHub repository, Dockerfile Browser Yes Yes Open in a separate window Comparison of different options to install and use data science notebooks.

Techniques: Software

Comparison of different options to install and use data science notebooks.

Journal: Journal of the American Medical Informatics Association : JAMIA

Article Title: Reproducible Bioconductor workflows using browser-based interactive notebooks and containers

doi: 10.1093/jamia/ocx120

Figure Lengend Snippet: Comparison of different options to install and use data science notebooks.

Article Snippet: Since our default option is to specify the versions of R/Bioconductor packages in the Dockerfile, reproducibility of results is ensured even between R/Bioconductor releases. table ft1 table-wrap mode="anchored" t5 Table 1. caption a7 Platform Author requirements Reader requirements R/Bioconductor Multi-user share Jupyter Python, Jupyter Python, Jupyter No No Jupyter/IRkernel Python, Jupyter, IRkernel Python, Jupyter, IRkernel Yes No R Notebook Rstudio Rstudio Yes No JupyterHub Docker server, Dockerfile Browser Yes Yes Binder GitHub repository, Dockerfile Browser Yes Yes Open in a separate window Comparison of different options to install and use data science notebooks.

Techniques: Comparison

Screenshot of BiocImageBuilder. The user selects from a menu the Bioconductor and CRAN packages required for his or her notebook. BiocImageBuilder then generates the Dockerfile describing a minimal Linux container that contains these packages. The Dockerfile can be uploaded to GitHub, where it can be viewed interactively using Binder.

Journal: Journal of the American Medical Informatics Association : JAMIA

Article Title: Reproducible Bioconductor workflows using browser-based interactive notebooks and containers

doi: 10.1093/jamia/ocx120

Figure Lengend Snippet: Screenshot of BiocImageBuilder. The user selects from a menu the Bioconductor and CRAN packages required for his or her notebook. BiocImageBuilder then generates the Dockerfile describing a minimal Linux container that contains these packages. The Dockerfile can be uploaded to GitHub, where it can be viewed interactively using Binder.

Article Snippet: Since our default option is to specify the versions of R/Bioconductor packages in the Dockerfile, reproducibility of results is ensured even between R/Bioconductor releases. table ft1 table-wrap mode="anchored" t5 Table 1. caption a7 Platform Author requirements Reader requirements R/Bioconductor Multi-user share Jupyter Python, Jupyter Python, Jupyter No No Jupyter/IRkernel Python, Jupyter, IRkernel Python, Jupyter, IRkernel Yes No R Notebook Rstudio Rstudio Yes No JupyterHub Docker server, Dockerfile Browser Yes Yes Binder GitHub repository, Dockerfile Browser Yes Yes Open in a separate window Comparison of different options to install and use data science notebooks.

Techniques:

Tool availability: summary representation of tools available to account holders in the Cloud Resources.

Journal: Cancer Research

Article Title: NCI Cancer Research Data Commons: Cloud-Based Analytic Resources

doi: 10.1158/0008-5472.CAN-23-2657

Figure Lengend Snippet: Tool availability: summary representation of tools available to account holders in the Cloud Resources.

Article Snippet: Many of the commonly used tools within the bioinformatics community are provided, including BigQuery, Galaxy, Jupyter notebooks, RStudio/RShiny, and SAS.

Techniques: Variant Assay, Derivative Assay, Imaging