RiboToolkit | Group

Differential translation studies

Use single case job IDs to perform group case differential analysis:

The single case job of Ribo-seq data with the input ID should be completed.
At least one replicate for each group
Input gene expression matrix (raw read counts) from accompanying RNA-seq data to perform differential translation efficiency analysis (refer here for the gene ID version and gtf file used in RiboToolkit or you can download the reference genome and gtf files here).
Use to add and delete replicates

The fields marked by "*" are required!

Select the input type

Input type *

Single job ID Re-analysis

Input your job IDs

Group 1

Replicate 1

Example

Replicate 2

Example

Group 2

Replicate 1

Example

Replicate 2

Example

Upload gene expression count for studying translation efficiency and differential translation (optional)

Gene expression count (optional)

Upload gene expression count matrix
(The column names in the matrix should be same to the replicate names above and refer here for the gene ID version used for each species)
Test information (mm10)

job ID(s) *

Provide completed job ID(s) to re-analyze your data with different parameters

Tool to identify differential translation:

Riborex Xtail

Parameters for statistics

F-value *

Fold change of translation efficiency

P-value *

Statistical significant p-value for differential translation

P-value type

FDR Raw p-value

P-value type for differential translation

P value for functional enrichments *

Statistical significant p-value for functional enrichments (GO, Pathways and GSEA)

Get an notification when the job is done (optional)