Associated Papers
Whole exome sequencing and machine learning germline analysis of individuals presenting with extreme phenotypes of high and low risk of developing tobacco-associated lung adenocarcinoma.
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Supplement: mmc1.xlsx › Supp_Table_2
Multi-Omics Characterization of the Spontaneous Mesenchymal-Epithelial Transition in the PMC42 Breast Cancer Cell Lines.
Bhatia S et al.
Journal of Clinical Medicine, 2019
31430931 (PubMed )
Supplement: jcm-08-01253-s001.zip › Supplementary_Info › Suppl_Tables.xlsx › S5.ET_SNP_deleterious
Circulating Tumour DNA Analysis for Tumour Genome Characterisation and Monitoring Disease Burden in Extramedullary Multiple Myeloma.
Mithraprabhu S et al.
International Journal of Molecular Sciences, 2018
29937522 (PubMed )
Supplement: ijms-19-01858-s001.zip › ijms-320037-supp › Supplementary_File_S1.xlsx › EM123_and_EM-S_SNV
Exome sequencing reveals comprehensive genomic alterations across eight cancer cell lines.
Chang H et al.
Plos One, 2011
21701589 (PubMed )
Supplement: pone.0021097.s002.xls › pc3_f40r3
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