Pinned Repositories
GitHubGraduation-2021
Join the GitHub Graduation Yearbook and "walk the stage" on June 5.
GitHubGraduation-2021
Join the GitHub Graduation Yearbook and "walk the stage" on June 5.
PatchlinerAuto
The PatchlinerAuto Analysis Workflow was created to assist epilepsy researchers at the Florey Institute of Neuroscience and Mental Health in reviewing data output by the Patchliner system. The workflow allows the user to import data, select wells for analysis, view and exclude plots, and visually select time intervals to calculate rise times, steady state current amplitudes, tail currents and conductance for the plots.
patchwork
All the Git-it Workshop completers!
RNAseqAuto
The RNAseqAuto workflow was created to assist epilepsy researchers at the Florey Institute of Neuroscience and Mental Health. This workflow allows users to review data output by the RNA-sequencing analysis pipeline in the form of Galaxy tabular spreadsheets. The workflow allows the user to import data, choose between analysis for gene-level or exon-level data, and calculate the reads per kilobase per million mapped reads (RPKM).
leldershaw's Repositories
leldershaw/GitHubGraduation-2021
Join the GitHub Graduation Yearbook and "walk the stage" on June 5.
leldershaw/PatchlinerAuto
The PatchlinerAuto Analysis Workflow was created to assist epilepsy researchers at the Florey Institute of Neuroscience and Mental Health in reviewing data output by the Patchliner system. The workflow allows the user to import data, select wells for analysis, view and exclude plots, and visually select time intervals to calculate rise times, steady state current amplitudes, tail currents and conductance for the plots.
leldershaw/patchwork
All the Git-it Workshop completers!
leldershaw/RNAseqAuto
The RNAseqAuto workflow was created to assist epilepsy researchers at the Florey Institute of Neuroscience and Mental Health. This workflow allows users to review data output by the RNA-sequencing analysis pipeline in the form of Galaxy tabular spreadsheets. The workflow allows the user to import data, choose between analysis for gene-level or exon-level data, and calculate the reads per kilobase per million mapped reads (RPKM).