Project description:Four recently published algorithms for the detection of somatic SNV sites in matched cancer-normal sequencing datasets are VarScan, SomaticSniper, JointSNVMix and Strelka. In this analysis, we apply these four SNV calling algorithms to cancer- normal Illumina exome sequencing of a chronic myeloid leukaemia (CML) patient. The candidate SNV sites returned by each algorithm are filtered to remove likely false positives, then characterised and compared to investigate the strengths and weaknesses of each SNV calling algorithm.

| EGAS00001000927 | EGA

WGS fastq for EGAS00001004572 - samples

Project description:Bulk WGS fastq files for germline and tumours in EGAS00001004572.

| EGAD00001006902 | EGA

Purple copy number segments for EGAS00001004572 - samples

Project description:Bulk copy number segments from Purple analysis in EGAS00001004572

| EGAD00001006908 | EGA

Somatic development of Wilms tumour via normal kidneys in predisposed children

Project description:Somatic development of Wilms tumour via normal kidneys in predisposed children

| PRJNA1241825 | ENA

Noncoding somatic and inherited single-nucleotide variants converge to promote ESR1 expression in breast cancer

Project description:Sustained expression of the estrogen receptor-Î± (ESR1) drives two-thirds of breast cancer and defines the ESR1-positive subtype. ESR1 engages enhancers upon estrogen stimulation to establish an oncogenic expression program1. Somatic copy number alterations involving the ESR1 gene occur in approximately 1 % of ESR1-positive breast cancers2â5, suggesting that other mechanisms underlie the persistent expression of ESR1. We report significant enrichment of somatic mutations within the set of regulatory elements (SRE) regulating ESR1 in 7% of ESR1-positive breast cancers. These mutations regulate ESR1 expression by modulating transcription factor binding to the DNA. The SRE includes a recurrently mutated enhancer whose activity is also affected by rs9383590, a functional inherited single-nucleotide variant (SNV) that accounts for several breast cancer riskâassociated loci. Our work highlights the importance of considering the combinatorial activity of regulatory elements as a single unit to delineate the impact of noncoding genetic alterations on single genes in cancer. RNA-Seq was performed in HCC1419 cells heterozygous for the functional SNV, rs9383590, to determine which genes displayed an allelic imbalance within a 1MB window.

2016-08-23 | E-GEOD-74718 | biostudies-arrayexpress

2373a07d-3304-486e-863e-9a920aa9ed68 - samples

Project description:This dataset comprises genetic variation data (as somatic indels and snvs VCFs) of 38 OPSCC tumors. WES was done using NextSeq 500 System running in 150 cycles (2x 75bp paired-end) mode. Sequence information was converted to FASTQ format using bcl2fastq v2.20.0.422. VCFs were generated using the Strelka package.

| EGAD00001009167 | EGA

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data