# Evidence of molecular mimicry in multisystem inflammatory syndrome in children (MIS-C)

## Description of the data and file structure

This Dryad submission contains PhIP-Seq results for two distinct T7 bacteriophage libraries, one for identifying autoantibodies targeting human proteins, and one for identifying antibodies targeting SARS-CoV-2 proteins. Each library was run on MIS-C patients (n=199) and
at-risk pediatric controls (n=45).

For human proteome results, all data is formatted as a fold-change over mock-IP. For all SARS-CoV-2 results, all data is formatted as a fold-change over pre-COVID.

There are therefore 4 separate CSV files:

*   Human Proteome MIS-C patients
*   Human Proteome at-risk controls
*   SARS-CoV-2 Proteome MIS-C patients
*   SARS-CoV-2 Proteome at-risk controls

Each individual is a column. For the Human Proteome library, each row represents the summed values from each peptide corresponding to a given gene. For the SARS-CoV-2 Proteome library, each row represents the signal to a unique peptide derived from a coronavirus. Therefore a FASTA file **(covid19lib_pepts_.fa)** with the annotations for the coronavirus phage display library is also provided.

## Code/Software

Next generation sequencing reads from fastq files were aligned at the level of amino acids using RAPSearch2. The Pandas and Numpy packages were used in Python to generate the final PhIP-Seq files attached here.
