Mutational profile analysis in patient-derived neuroendocrine tumor models

Zenodo (CERN European Organization for Nuclear Research) 2026 Book Open access

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Authors: Mathur Samarth
DOI: 10.5281/zenodo.18247838
Cited by: 0

Abstract

This repository contains the computational workflows used to analyze somatic variation and clonal dynamics in patient-derived gastroenteropancreatic neuroendocrine tumor (GEP-NET) organoids. Scripts implement Mutect2-based somatic variant calling followed by superFreq-based clonal tracking across longitudinal samples, with downstream visualization and summary analyses.

Fields of Study & Subjects

Cancer Genomics and Diagnostics Neuroendocrine Tumor Research Advances Single-cell and spatial transcriptomics

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
14 January 2026
Document type
Book