Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

GATCI_WGS_germline.2 - samples

ABSTRACT: Sequence data in fastq format was aligned to the GRCh38 reference genome with BWA-MEM and preprocessed with GATK for indel realignment and base quality score recalibration. Aligned sequence was analyzed with GATK HaplotypeCaller to generate germline variant calls. Variant calls are in VCF format. In total, there are 60 tumour samples from 38 patients, all with matched normal. Further details can be found in the vcf headers

PROVIDER: EGAD00001005817 | EGA |

REPOSITORIES: EGA

ACCESS DATA

Json Xml

Similar Datasets

GATCI_WGS_mutect.2 - samples

Project description:Sequence data in fastq format was aligned to the GRCh38 reference genome with BWA-MEM and preprocessed with GATK for indel realignment and base quality score recalibration. Aligned sequence was analyzed with MuTect to generate somatic variant calls. Variant calls are in VCF format. In total, there are 60 tumour samples from 38 patients, all with matched normal. Further details can be found in the vcf headers.

| EGAD00001005822 | EGA

GATCI_WGS_somaticsniper.2 - samples

Project description:Sequence data in fastq format was aligned to the GRCh38 reference genome with BWA-MEM and preprocessed with GATK for indel realignment and base quality score recalibration. Aligned sequence was analyzed with SomaticSniper to generate somatic variant calls. Variant calls are in VCF format. In total, there are 60 tumour samples from 38 patients, all with matched normal. Further details can be found in the vcf headers

| EGAD00001005818 | EGA

Karlsson_et_al_OSA

Project description:This experiment was conducted to generate targeted resequencing data covering a region associated with osteosarcoma in greyhounds. 8 greyhounds diagnosed with osteosarcoma and 7 greyhounds without tumors were sequenced. DNA from the 15 dogs was used to prepare libraries and hybrid capture performed to enrich the region of interest prior to paired-end sequencing using Illumina Genome Analyzer II. The reads were aligned to the dog-genome CanFam2.0 using bwa and pre-processed using Picard and GATK. Variant discovery was performed using GATK. The resulting list of variants were used in the study to finemap the associated region and look for causal variants. We submit the preprocessed BAM-files that still have all reads although some reads are flagged. We also submit the resulting vcf-file with called and filtered variants in all individuals.

2013-11-16 | E-MTAB-1984 | biostudies-arrayexpress

GATCI_WGS_align - samples

Project description:Sequence data in fastq format was aligned to the GRCh38 reference genome with BWA-MEM. Aligned sequence was preprocessed with GATK for Indel Realignment and Base Quality Score Recalibration. Duplicates were marked with Picard Mark Duplicates. Aligned sequence is in bam format. Details of the alignment can be found in the bam header

| EGAD00001005914 | EGA

GATCI_WXS_somaticsniper - samples

Project description:Exome sequences were aligned to the GRCH38 reference genome. Aligned sequence was analyzed with GATK/SomaticSniper, to generate somatic variant calls. Somatic variant calls are in VCF format. Details for the mutect call can be found in the vcf header.

| EGAD00001005918 | EGA

GATCI_WXS_mutect - samples

Project description:Exome sequences were aligned to the GRCH38 reference genome. Aligned sequence was analyzed with GATK/MuTect, to generate somatic variant calls. Somatic variant calls are in VCF format. Details for the mutect call can be found in the vcf header.

| EGAD00001005917 | EGA

GATCI_WXS_germline - samples

Project description:Exome sequences were aligned to the GRCH38 reference genome. Aligned sequence was analyzed with GATK Haplotype Caller to generate germline variant calls. Variant calls are in VCF format. Details for the call can be found in the VCF header

| EGAD00001005916 | EGA

GATCI_WXS_align - samples

Project description:Whole exome sequence data in fastq format was aligned to the GRCH38 reference genome. Aligned sequence was preprocessed with GATK for Indel Realignment and Base Quality Score Recalibration. Duplicates were marked with Picard Mark Duplicates. Aligned sequence is in bam format. Details of the alignment can be found in he bam header. Tumour samples were classified as Anaplastic Thyroid, Poorly-differentiated or well-differentiated cancers.

| EGAD00001005791 | EGA

GATCI_alignments - samples

Project description:Sequence data in fastq format was aligned to the GRCH38 reference genome. Aligned sequence was preprocessed with GATK for Indel Realignment and Base Quality Score Recalibration. Duplicates were marked with Picard Mark Duplicates. Aligned sequence is in bam format. Details of the alignment can be found int he bam header. In total, data generated from 174 tumour samples 102 matched blood normal controls was aligned. Tumour samples were classified as Anaplastic Thyroid, Poorly-differentiated or well-differentiated cancers.

| EGAD00001004126 | EGA

GATCI_germline_variants - samples

Project description:Sequence was aligned to the GRCH38 reference genome. Aligned sequence was analyzed with GATK Haplotype Caller, to generate germline variant calls across the SureSelect All Exon V5+UTR target region. Variant calls are in VCF format. In total there are samples from 173 donors. 101 donors have calls generated from both normal and tumour samples tumour samples, 94 of which have a matched normal. Details for the call can be found in the vcf headers.

| EGAD00001004127 | EGA

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

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