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We performed an integrative analysis to determine genomic aberrations common to sporadic schwannomas.
Study
EGAS00001001886
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A_compendium_of_mutational_signatures_due_to_environmental_exposures
Study
EGAS00001002060
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The_British_Autozygosity_Populations_BioResource
Study
EGAS00001002742
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Mutational_burden_in_human_hair_follicles
Study
EGAS00001004462
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Molecular analysis of FIT interval colorectal cancers
Study
EGAS00001004683
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Genome and transcriptome sequence data from a metastatic cholangiocarcinoma patient
Dataset
EGAD00001002976
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Genome and transcriptome sequence data from a breast cancer patient
Dataset
EGAD00001002972
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Genome and transcriptome sequence data from a rectal adenocarcinoma patient
Dataset
EGAD00001002973
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Genome and transcriptome sequence data from a cholangiocarcinoma patient
Dataset
EGAD00001002991
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Genome and transcriptome sequence data from a leiomyosarcoma patient
Dataset
EGAD00001002996
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There are 116 liver cancer cases in this study and belong to LICA-CN project.The NGS test was performed with whole exome sequencing with HiSeq 2000 platform.
Dataset
EGAD00001003174
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Cancer Genomics of the Kidney
Dataset
EGAD00001004018
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WGS and RNA-Seq data from a GBM patient PT-AB6372
Dataset
EGAD00001004222
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WGS and RNA-Seq data from a GBM patient PT-AL4257
Dataset
EGAD00001004225
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WGS and RNA-Seq data from a GBM patient PT-AR5365
Dataset
EGAD00001004227
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WGS and RNA-Seq data from a GBM patient PT-CA2271
Dataset
EGAD00001004230
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WGS and RNA-Seq data from a GBM patient PT-CM1209
Dataset
EGAD00001004231
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WGS and RNA-Seq data from a GBM patient PT-DF5919
Dataset
EGAD00001004232
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WGS and RNA-Seq data from a GBM patient PT-DS9789
Dataset
EGAD00001004233
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WGS and RNA-Seq data from a GBM patient PT-EV3071
Dataset
EGAD00001004234
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Endothelium-derived stromal cells contribute to bone marrow niche formation
Study
EGAS00001004946
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LCM-ATACseq on human lung macrophages
Study
EGAS00001006167
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LCM-RNAseq on human lung macrophages
Study
EGAS00001006168
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Tumorigenic role of Musashi-2 in aggressive mantle cell lymphoma
Study
EGAS00001006613
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cfDNAme allows early prediction of PE
Study
EGAS00001007071