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[Mandarin workshop]: Visualization and exploration of MSAs and associated data with ggmsa #91
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@nyzhoulang Thank you for submitting this abstract. |
@nyzhoulang Thank you for the abstract. Thank you again. |
@nyzhoulang Can I ask you to give me your name and abstract also in Mandarin? |
Hi, @kozo2 Name: 周烺 (Lang Chau) Workshop将分为三个部分: |
Thanks @nyzhoulang |
Hi @nyzhoulang , |
Thanks the reminder @kozo2 . 1. Error: Failed to install 'unknown package' from GitHub 2. Push to docker fails with denied: requested access to the resource is denied I'm not sure that it means my |
Hi @nyzhoulang |
Hi @nyzhoulang
I think it means that your github secret is likely not set up well. |
I've also met the first issue previously, and fixed it by the same way. @seandavi Sorry to bother you here, but would it be possible to update the template to avoid this issue, which could be beneficial for future users? |
Thanks, @kozo2 |
@nyzhoulang Great. Then I will ask Sean Davis to add your workshop Docker image to Orchestra. (by email. Of course, I will also send you an email with cc. ) |
OK. |
@nyzhoulang Yes, you can keep updating them. |
Right, thanks your assistance. @kozo2 |
@nyzhoulang If you get errors like the attached image in the RStudio in your workshop Orchestra, uncheck the checkbox in the another attached image. The errors seem to come out when non-English is included in Rmd. |
Nice~(。ò ∀ ó。) |
Hi, @kozo2 |
@nyzhoulang Sorry for my late reply. |
@nyzhoulang This is bacause Bioconductor released new version recently. |
@nyzhoulang |
@nyzhoulang Thanks, I checked you already updated the basic_checks.yaml and Dockerfile (before I send a PR). |
Thanks @kozo2 , |
Abstract
The stacked alignment graphic that represents all individual sequences as rows and homologous residue positions as columns is used almost universally in the visualization of multiple sequence alignment (MSA). We present the R package ggmsa to extend MSA visualization method via integrating stacked MSAs and associated data. Sequence-related data sets such as secondary structures, genes locus, or phenotype are allowed to combining with MSA for exploring the sequence-structure-function relationship. And we developed and integrated multiple alignment visualization methods such as nucleotide difference plots, nucleotide similarity plots, and sequence bundles to exploring multifaceted sequence features from multiple perspectives. The ggmsa package is available at https://github.com/YuLab-SMU/ggmsa.
The workshop will be organized into three broad sections:
Language used in the workshop
Mandarin
Convenient day for your Long workshop.
No response
Contact Details
nyzhoualng@gmail.com
Comment field
No response
Checklist
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