Associated Papers
Somatic Mutations Alter Interleukin Signaling Pathways in Grade II Invasive Breast Cancer Patients: An Egyptian Experience.
Nassar A et al.
Current Issues in Molecular Biology, 2022
36547062 (PubMed )
Supplement: cimb-44-00401-s001.zip › supplementary_2.xlsx › CCP_ALL_source
Whole-exome sequencing and bioinformatic analyses revealed differences in gene mutation profiles in papillary thyroid cancer patients with and without benign thyroid goitre background.
Eng ZH et al.
Frontiers in Endocrinology, 2022
36686473 (PubMed )
Supplement: DataSheet_1.xlsx › Supplemetary_Table_2
Lipin 1 deficiency causes adult-onset myasthenia with motor neuron dysfunction in humans and neuromuscular junction defects in zebrafish.
Lu S et al.
Theranostics, 2021
33456573 (PubMed )
Supplement: thnov11p2788s1.pdf
Limited Practical Utility of Liquid Biopsy in the Treated Patients with Advanced Breast Cancer.
Niwinska A et al.
Diagnostics (basel, Switzerland), 2020
32731384 (PubMed )
Supplement: diagnostics-10-00523-s001.zip › diagnostics-851816-supplementary.xlsx › Supplementary_Table_S2
Tumor mutation burden and recurrent tumors in hereditary lung cancer.
Hsu YC et al.
Cancer Medicine, 2019
30941903 (PubMed )
Supplement: CAM4-8-2179-s001.xlsx › S2
Development and validation of a targeted next generation DNA sequencing panel outperforming whole exome sequencing for the identification of clinically relevant genetic variants.
Miller EM et al.
Oncotarget, 2017
29254223 (PubMed )
Supplement: oncotarget-08-102033-s003.xlsx › macrogen_wes.n65_t65.varscan.sn
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-00010-Table_S13.xlsx › Sheet1
Genomic characterization of a large panel of patient-derived hepatocellular carcinoma xenograft tumor models for preclinical development.
Gu Q et al.
Oncotarget, 2015
26062443 (PubMed )
Supplement: oncotarget-06-20160-s004.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-A06P-01A.domain
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