23074 results for "ega"

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• RNA-Seq on GeparSixto tissue samples

  RNA-Seq on GeparSixto tissue samples

  Study EGAS00001007124

• GFD viral enrichment sequencing

  sequencing of libraires enriched for viral particles

  Dataset EGAD00001007638

• ssRNA

  single cell RNA-seq

  Dataset EGAD00001008996

• WES of LUAD

  WES of LUAD

  Dataset EGAD00001011813

• UTUC WES data

  Whole exome sequnecing of upper urinary tract urothelial carcinoma

  Dataset EGAD00001007666

• TCRseq data

  Individual FASTQ files from TCR sequencing.

  Dataset EGAD00001008797

• SF7233

  Astrocytoma (WHO gr. 2)

  Dataset EGAD00001008305

• SF6420

  Oligodendroglioma (WHO gr. 2)

  Dataset EGAD00001008306

• SF4007

  Oligodendroglioma (WHO gr. 2

  Dataset EGAD00001008300

• AML-MRD

  AML-MRD: Aligned sequences used in the error modeling study

  Dataset EGAD00001005270

• CyclomicsSeq_Synthetic_R9

  Contains Synthetic samples sequenced on R9 flowcells

  Dataset EGAD00001010149

• ICR_WES_pHGG

  Whole Exome sequencing of paediatric High Grade Gliomas

  Dataset EGAD00001003762

• Paired samples of PTC

  Tumor-Normal paired samples of PTC

  Dataset EGAD00001001690

• Chordoma Extension Study

  Extension analysis to pursue candidate genes of interest in chordoma

  Dataset EGAD00001001238

• dataset_CML_WGS_pairend_bam

  dataset CML WGS pairend bam

  Dataset EGAD00001002058

• WGS data from Lebanon

  Low-coverage sequencing data from 99 Lebanese samples

  Dataset EGAD00001003098

• DATA FILES FOR SJTALL

  DATA FILES FOR SJTALL

  Dataset EGAD00001001052

• MMP-seq tumor samples (FASTQ)

  MMP-seq tumor samples (FASTQ)

  Dataset EGAD00001001108

• DATA FILES FOR PCGP Dyer_iPSC TEBS

  DATA FILES FOR PCGP Dyer_iPSC TEBS

  Dataset EGAD00001001416

• DATA FILES FOR PCGP Dyer_iPSC 5hmc

  DATA FILES FOR PCGP Dyer_iPSC 5hmc

  Dataset EGAD00001001418

• Mitochondrial variants in CPCGene samples

  VCF files containing mitochondrial variant calls using MToolbox

  Dataset EGAD00001003361

• DATA FILES FOR SJMEL-WGS

  DATA FILES FOR SJMEL-WGS

  Dataset EGAD00001001032

• MMP-seq cell lines (FASTQ)

  MMP-seq cell lines (FASTQ)

  Dataset EGAD00001001107

• RNA-Seq

  RNA Sequencing

  Dataset EGAD00001001121

• CPC-GENE Prostate Cancer Heterogeneity Study

  Aligned Sequence (bam format), Duplicates removed

  Dataset EGAD00001001329

• DATA FILES FOR PCGP Dyer_iPSC WGS

  DATA FILES FOR PCGP Dyer_iPSC WGS

  Dataset EGAD00001001415

• Leeds Melanoma Cohort

  Leeds Melanoma Cohort

  Dataset EGAD00001001845

• CLUC complete genomics dataset

  Complete genomics data for VCaP and PC346c.

  Dataset EGAD00001002069

• Low Coverage Sequencing of rare human histiocytic tumour

  Sequencing of rare human histiocytic tumour

  Dataset EGAD00001002199

• SF10619

  Oligodendroglioma (WHO gr. 2

  Dataset EGAD00001008299

• SF11940

  Anaplastic Astrocytoma, IDH-mutant

  Dataset EGAD00001008304

• SF6420

  Oligodendroglioma (WHO gr. 2)

  Dataset EGAD00001008308

• Human brain development single cell sequencing additional samples

  69 tissue samples from various parts of the developing human embryo brain were dissociated and single cells were collected and processed without bias for mRNA-seq using 10X chromium 3' protocol. Libraries were sequenced on Illumina NovaSeq and reads aligned against the human GRCh38 genome. This is an addition to EGAD00001006049 Human development single cell sequencing, consisting of samples added after the original submission to EGA, but included in final paper.

  Dataset EGAD50000001295

• Haplotype Reference Consortium Release 1.1

  Haplotype Reference Consortium Release 1.1 - subset for release via the EGA

  Dataset EGAD00001002729

• Out with the Java, in with the Python - new EGA data download client unveiled

  We will shortly be deprecating the Java-based download client also known as API V2. The Java client began its life at the back end of 2014, and during its time has seen many developments that have served our users well. During its tenure, the Java client enabled distribution of over 6.5 million files totalling nearly 15 petabytes of data to researchers around the globe. Recent increases in genomic and phenotypic data file sizes, the number of datasets archived in the EGA, the number of users downloading data, and the diversity of download locations has meant that at times the Java client struggled to distribute data efficiently. In response, our team of developers have built a new download client with more robust features and better functionality and reliability. Enter stage left our shiny new API V3.1! The new API V3.1 will replace both API V2 and API V3. The download client for the new API V3.1 is written in Python, and the code is openly available on Github. This Python client makes https calls to the EGA AAI (https://ega.ebi.ac.uk:8443/) and to the EGA Data API (https://ega.ebi.ac.uk:8052), both of which must be accessible from the client location. In addition to general updates to improve performance, the API V3.1 has three new features enhancing the EGA distributions services. First, requested data are now downloaded over secure https connections rather than http, meaning that data can be delivered unencrypted. Instead of separately requesting, downloading, and decrypting data using the Java client, data can now be requested and downloaded using a single command without the need for decrypting. The API V3.1 also automatically verifies each file’s unencrypted md5 after download to ensure the file has downloaded correctly. Second, the new API supports segmenting and automatic resuming. To enable quicker download speeds, the API breaks files into up to four segments and downloads them in parallel. With the new resume feature, downloads - both segmented and continuous stream - will automatically resume if they encounter any errors or the connection is interrupted. These features result in both a faster and more reliable download experience. Finally, the new API V3.1 implements the GA4GH-compliant htsget protocol for supporting requests over genomic ranges. This exciting new feature means that for data files with accompanying index files (e.g. .crai for CRAM files) users can download specific regions of interest rather than the entire file saving both time and storage space. The new features of the Python-based API V3.1 represent significant improvements in security, speed, reliability, and flexibility that are sure to provide a better data download experience. To take full advantage of these features, users must update to Python 3.X. Considering the changes in the data structures with the new API, the upgrade to a new version of the Python client is also mandatory. Updating the client to the latest version can be achieved by running the following command: pip3 install pyega3 -U We are excited for users to try out the new features and take advantage of the multifariously growing EGA distribution services for human biomedical omics data. If you have any questions or feedback, please email the EGA Helpdesk team. We'd love to hear from you!

  Blog new-ega-data-download-client

• Data access committee for genomic and clinical data produced by the Institute for Biomedical Technology.

  Dac EGAC00001000110

• The BIOS Consortium: Biobank-based Integrative Omics Studies

  Dac EGAC00001000277

• DATA ACCESS AGREEMENT CGNT- GROUP COMMITTEE for project "Exome sequencing of 22 Pheochromocytoma/paraganglioma tumors" at Gothenburg University.

  Dac EGAC00001000411

• Pacific Islands RHD Genetics Network Data Access Committee

  Dac EGAC00001000506

• DAC to control the access to the RRBS raw data of the glioblastom progression study (GBMatch).

  Dac EGAC00001000689

• DAC for Greenland Studies of University of Copenhagen and University of Southern Denmark.

  Dac EGAC00001000736

• Differential Presence of Exons in Cell-Free DNA Reveals Different Patterns in Colorectal Cancer Between Metastatic and Non-Metastatic Patients

  Dac EGAC00001000749

• The data access committee for Evolution of neoantigen landscape during immune checkpoint blockade in non-small cell lung cancer.

  Dac EGAC00001000757

• Single-cell TCR sequencing of gluten-specific T cells from 20 celiac disease patients uploaded on 2021_Data access committee

  Dac EGAC00001001971

• Data Access Committee for the study "Somatic chronology of treatment-resistant prostate cancer via deep whole-genome ctDNA sequencing"

  Dac EGAC00001002479

• Access Committee for Separation, characterization, and identification of individuals from multi-person blood mixtures

  Dac EGAC00001002646

• Profiled samples in the study "Chromatin activation profiling of stereotyped chronic lymphocytic leukemias reveals a subset #8 specific signature"

  Dac EGAC00001002787

• EGAD00000000015

  WTCCC project African control samples

  Dataset EGAD00000000015

• EGAD00000000016

  WTCCC project Tuberculosis (TB) samples

  Dataset EGAD00000000016

• EGAD00000000119

  Genotypes from cell lines derived from breast carcinoma tissue

  Dataset EGAD00000000119