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.
Patiño-García A et al.
Ebiomedicine, 2024
38484556 (PubMed )
Supplement: mmc1.xlsx › Supp_Table_2
Three-dimensional modelling identifies novel genetic dependencies associated with breast cancer progression in the isogenic MCF10 model.
Maguire SL et al.
The Journal of Pathology, 2016
27512948 (PubMed )
Supplement: PATH-240-315-s015.xlsx › Table_S2
Evaluation of Hybridization Capture Versus Amplicon-Based Methods for Whole-Exome Sequencing.
Samorodnitsky E et al.
Human Mutation, 2015
26110913 (PubMed )
Supplement: HUMU-36-903-s001.zip › humu22825-sup-0007-Table_S10.xlsx › Sheet1
The eSNV-detect: a computational system to identify expressed single nucleotide variants from transcriptome sequencing data.
Tang X et al.
Nucleic Acids Research, 2014
25352556 (PubMed )
Supplement: supp_gku1005_nar-01266-met-n-2014-File012.xlsx › TCGA-A8-A08F-01A.domain
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