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Ge et al. |

Clipper

126
9
Omics
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Step 1: Upload your data

Upload Background/Control

Drag your file(s) or upload
  • Your file can be in the following formats:csv
    • Each column should be a sample, and each row a variable of interest. If the first column contains the “Feature Name” or “Index” (e.g. Gene name), check “First column is Index/Feature Name” (this will tell Clipper to not include this column in the analysis). If no “Feature Name” is provided, then both data sets should have the same size and each row represent the same variable of interest.
or
Don’t have a file?
Use our demo data to run
Use Demo Data
View example data

Upload Experimental/Treatment

Drag your file(s) or upload
  • Your file can be in the following formats:csv
    • Same as described above
or
Don’t have a file?
Use our demo data to run
Use Demo Data
View example data
Step 2: Set Parameters
Differential

Identifying "interesting" features with false discovery rate (FDR) control where "interesting" means "enriched" or "differential", without using p-values

Example use case: identification of differentially expressed genes from genome-wide gene expression data or peak-calling from ChIP-seq data, peptide-identification from mass spectrometry data

Limitations: Works best with two conditions

Citation:
Ge, X., Chen, Y.E., Song, D. et al. Clipper: p-value-free FDR control on high-throughput data from two conditions. Genome Biol 22, 288 (2021). https://doi.org/10.1186/s13059-021-02506-9
Released:
Jun-27-2022
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