Associated Papers
Single-cell multi-gene identification of somatic mutations and gene rearrangements in cancer.
Grimes SM et al.
Nar Cancer, 2023
37435532 (PubMed )
Supplement: zcad034_supplemental_files.zip › Tables_Supplementary.xlsx › SpTable07_longshot_variants
Systematic assessment and optimizing algorithm of tumor mutational burden calculation and their implications in clinical decision-making.
Sun D et al.
Frontiers in Oncology, 2022
36425562 (PubMed )
Supplement: Table_3.xlsx › Sheet1
Aberrations in SMAD family of genes among HNSCC patients.
Thariny E et al.
Bioinformation, 2021
Analysis of error profiles in deep next-generation sequencing data.
Ma X et al.
Genome Biology, 2019
30867008 (PubMed )
Supplement: 13059_2019_1659_MOESM1_ESM.xlsx › S3_b
Contribution of allelic imbalance to colorectal cancer.
Palin K et al.
Nature Communications, 2018
30202008 (PubMed )
Supplement: 41467_2018_6132_MOESM11_ESM.xlsx › Somatic_mutations_in_234_MSS_CR
CHK1-targeted therapy to deplete DNA replication-stressed, p53-deficient, hyperdiploid colorectal cancer stem cells.
Manic G et al.
Gut, 2018
28389531 (PubMed )
Supplement: gutjnl-2016-312623supp002.pdf
Tumor genome analysis includes germline genome: are we ready for surprises?
Catenacci DV et al.
International Journal of Cancer, 2015
SMAD2, SMAD3 and SMAD4 mutations in colorectal cancer.
Fleming NI et al.
Cancer Research, 2013
23139211 (PubMed )
Supplement: 00085472can122706-sup-t1-8_xls_117k.xls › Table_S4
Targeted sequencing of cancer-related genes in colorectal cancer using next-generation sequencing.
Han SW et al.
Plos One, 2013
23700467 (PubMed )
Supplement: pone.0064271.s004.xlsx › Sheet1
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