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De novo detection of somatic variants

The Tumor Profiler Study is an observational trial combining a prospective diagnostic approach to assess the relevance of in-depth tumor profiling to support clinical decision-making with an exploratory approach to improve the biological understanding of the disease. This dataset contains scDNA-seq data for 3 ovarian cancer samples from the Tumor Profiler Study used to validate LongSom. LongSom is a computational workflow leveraging high-quality long-read scRNA-seq data to call de novo somatic single-nucleotide variants (SNVs), including in mitochondria (mtSNVs), copy-number alterations (CNAs), and gene fusions, to reconstruct tumor clonal heterogeneity.

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Studies are experimental investigations of a particular phenomenon, e.g., case-control studies on a particular trait or cancer research projects reporting matching cancer normal genomes from patients.

Study ID Study Title Study Type
EGAS50000000885 Cancer Genomics

This table displays only public information pertaining to the files in the dataset. If you wish to access this dataset, please submit a request. If you already have access to these data files, please consult the download documentation.

ID File Type Size Located in
EGAF50000318591 fastq.gz 10.6 GB
EGAF50000318592 fastq.gz 9.0 GB
EGAF50000318853 fastq.gz 7.2 GB
EGAF50000318854 fastq.gz 8.4 GB
EGAF50000318866 fastq.gz 9.0 GB
EGAF50000318867 fastq.gz 9.5 GB
EGAF50000318868 fastq.gz 11.1 GB
EGAF50000318869 fastq.gz 9.5 GB
EGAF50000318870 fastq.gz 11.1 GB
EGAF50000319007 fastq.gz 7.8 GB
EGAF50000319008 fastq.gz 9.1 GB
EGAF50000319021 fastq.gz 10.6 GB
12 Files (112.8 GB)