Lung_Cancer_Whole_Genomes

We propose to definitively characterise the somatic genetics of Lung cancer through generation of comprehensive catalogues of somatic mutations by high coverage genome sequencing.

Type: Cancer Genomics
Archiver: European Genome-Phenome Archive (EGA)

2 Datasets 3 Publications

Click on a Dataset ID in the table below to learn more, and to find out who to contact about access to these data

Dataset ID	Description	Technology	Samples
EGAD00001000144	Lung Cancer Whole Genomes	Illumina HiSeq 2000	18
EGAD00001000638	Insertion of processed pseudogenes is known to occur in the germline but has not previously been observed in somatic cells. Formation of pseudogenes could represent a new class of mutation in cancers and a new source of potential driver events.	Illumina HiSeq 2000	20

Publications	Citations
Accurate Inference of Tumor Purity and Absolute Copy Numbers From High-Throughput Sequencing Data. Yuan X, Li Z, Zhao H, Bai J, Zhang J. Front Genet 11: 2020 458	5
A Density Peak-Based Method to Detect Copy Number Variations From Next-Generation Sequencing Data. Xie K, Tian Y, Yuan X. Front Genet 11: 2020 632311	2
CIRCNV: Detection of CNVs Based on a Circular Profile of Read Depth from Sequencing Data. Zhao HY, Li Q, Tian Y, Chen YH, Alvi HAK, Yuan XG. Biology (Basel) 10: 2021 584	0