OmicsChart Neopep

is a platform for identifying neopeptides using individual patient sequencing data

features

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about omicschart neopep

The data is free to access, and contains 33 different cancer types from over 11,000 cancer patients. The provided information includes genomic data (DNA sequencing), transcriptomic data (RNA sequencing), copy-number data (arrays), proteomic data (antibodies array), some pathology images and clinical information about the patients.

Dividing cancer cells
Dividing cancer cells

OmicsChart TCGA will have several modules to browse each data type individually, and also allow users to examine the correlations between different data types. OmicsCart TCGA is a component of OmicsCart IOBE.

Motivation The composition and density of immune cells in the tumor microenvironment profoundly influence tumor progression and success of anti-cancer therapies. Flow cytometry, immunohistochemistry staining, or single-cell sequencing is often unavailable such that we rely on computational methods to estimate the immune-cell composition from bulk RNA-sequencing (RNA-seq) data. Various methods have been proposed recently, yet their capabilities and limitations have not been evaluated systematically. A general guideline leading the research community through cell type deconvolution is missing.

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OmicsChart Neopep

is a platform for identifying neopeptides using individual patient sequencing data

more product

We provide free access to two submodules of OmicsChart IO:

OmicsChart IOBE

IO Biomarker Encyclopedia

Look up any biomarker from published literature, see in which clinical trials it was used, and even upload your own sample to estimate this biomarker and compare it to TCGA samples.

OmicsChart IO

Biomarker Data Software Platform

Browse The Cancer Genome Atlas using our convenint interface, explore matation and expression data, estimation of infiltration by immune cells in solid tumors, or correlate any of the above to each other