Closed PYangLab closed 3 years ago
@PYangLab Thank you for submitting the abstract. The Assignees will start the review. Once accepted by the Assignees, this issue will be closed and your abstract will be posted on https://biocasia2021.bioconductor.org/ .
I checked this abstract and the package in it. I accept this abstract.
@PYangLab Please allow me to add the following links to your abstract, when I post your abstract on https://biocasia2021.bioconductor.org/ .
After adding your abstract to https://biocasia2021.bioconductor.org/ , I will send a comment addressed to you again. Thank you for your contribution.
Dear BiocAsia2021 organizer,
I confirm that I’m happy for the links listed in the email below to be added to my abstract. Thank you for this.
Kind regards, Pengyi
On Mon, 4 Oct 2021 at 5:14 pm, Kozo Nishida @.***> wrote:
I checked this abstract and the package in it. I accept this abstract.
@PYangLab https://github.com/PYangLab Please allow me to add the following links to your abstract, when I post your abstract on https://biocasia2021.bioconductor.org/ .
- https://bioconductor.org/packages/release/bioc/html/PhosR.html
- https://github.com/PYangLab/PhosR
- https://pyanglab.github.io/PhosR/
After adding your abstract to https://biocasia2021.bioconductor.org/ , I will send a comment addressed to you again. Thank you for your contribution.
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PENGYI YANG | Senior Lecturer and DECRA Fellow School of Mathematics & Statistics | Faculty of Science
THE UNIVERSITY OF SYDNEY5W83, D17 – Charles Perkins Centre | The University of Sydney | NSW | 2006 M +61 452 536 773 | E @.** W *http://sydney.edu.au/science/people/pengyi.yang.php
Abstract
Mass spectrometry (MS)-based phosphoproteomics has revolutionized our ability to profile phosphorylation-based signaling in cells and tissues on a global scale. In this talk, I will introduce PhosR, a set of tools and methodologies implemented in a Bioconductor R package to allow the comprehensive analysis of phosphoproteomic data. PhosR enables processing steps such as imputation, normalization, and functional analysis such as kinase activity inference and signalome construction. Together, PhosR facilitates interpretation and discovery from large-scale phosphoproteomic data sets.
Convenient day for your Long talk.
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Contact Details
pengyi.yang@sydney.edu.au
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