23014 results for "ega"

in 20.50 milliseconds.

• EvA COPD

  Dac EGAC00001000389

• Yuanlab

  Dac EGAC00001000433

• EPITREAT consortium

  Dac EGAC00001000485

• Wellderly Study

  Dac EGAC00001000663

• Tao.Wang@UTSW

  Dac EGAC00001000754

• DAC-CBD

  Dac EGAC00001000782

• IMAGINE_EBV studies

  Dac EGAC00001000790

• FinHIT DAC

  Dac EGAC00001000928

• scRNA-seq

  Dac EGAC00001000963

• MERiC

  Dac EGAC00001000964

• Butyricicoccus study accession

  Dac EGAC00001001046

• BioNTech DAC

  Dac EGAC00001001065

• MDACC - GM

  Dac EGAC00001001120

• SERC DAC

  Dac EGAC00001001124

• ProjectMinE

  Dac EGAC00001001149

• EVG AUMC

  Dac EGAC00001001152

• DAC_McGill_MUHC_epigenome

  Dac EGAC00001001162

• KU Leuven

  Dac EGAC00001001189

• DAC SOGEN

  Dac EGAC00001001253

• Associate Professor

  Dac EGAC00001001255

• IRCC

  Dac EGAC00001001274

• Associate Professor

  Dac EGAC00001001279

• Dr.Gianluigi Forloni

  Dac EGAC00001001313

• Dummy_DAC

  Dac EGAC00001001314

• UAMS-Pathology

  Dac EGAC00001001479

• IMvigor210 DAC

  Dac EGAC00001001611

• MPNST Data

  Dac EGAC00001001651

• CPML DAC

  Dac EGAC00001001757

• BJNI

  Dac EGAC00001001764

• Meyersonlab

  Dac EGAC00001001773

• Neurobiology group

  Dac EGAC00001001795

• Neurobiology group

  Dac EGAC00001001799

• DAC Genmab

  Dac EGAC00001001826

• HLA RNAseq

  Dac EGAC00001001888

• IMvigor210 DAC

  Dac EGAC00001001959

• Johan Bylund

  Dac EGAC00001001962

• Amazon dataset

  Dac EGAC00001001964

• HPS1 DAC

  Dac EGAC00001001972

• DAC CMML

  Dac EGAC00001002011

• RNA-Seq

  Dac EGAC00001002038

• NNI Genomics DAC

  Dac EGAC00001002068

• LASA MicMAC

  Dac EGAC00001002127

• DAC BBGLab

  Dac EGAC00001002128

• Sickkids DAC

  Dac EGAC00001002139

• EGAC00001001468

  Dac EGAC00001002144

• JAX_DAC

  Dac EGAC00001002316

• MOLPOPGEN DAC

  Dac EGAC00001002185

• COIN DAC

  Dac EGAC00001002190

• Angiopredict DAC

  Dac EGAC00001002200

• DIMES_UNIBO_Data_Access_Committee

  Dac EGAC00001002223

• JAX_DAC_ONT

  Dac EGAC00001002318

• Lymphoma Group

  Dac EGAC00001002336

• DAC-McGill_Rivera_Foulkes

  Dac EGAC00001002351

• Professor

  Dac EGAC00001002386

• Panama DAC

  Dac EGAC00001003179

• Data Scientist

  Dac EGAC00001002519

• MLL DAC

  Dac EGAC00001002523

• T-ALL

  Dac EGAC00001003183

• LIT_TIL_enhancer DAC

  Dac EGAC00001002607

• Chondrosarcoma DAC

  Dac EGAC00001002632

• HELIUS VLP

  Dac EGAC00001002674

• WUM GLIOMED

  Dac EGAC00001002680

• Janssen Pharmaceuticals

  Dac EGAC00001002715

• TransplantLines investigators

  Dac EGAC00001002717

• CPML DAC

  Dac EGAC00001002742

• DSBE-DAC

  Dac EGAC00001002785

• DMG DAC

  Dac EGAC00001002786

• RGNT_exome_transcriptome

  Dac EGAC00001002814

• RNAmp DAC

  Dac EGAC00001002820

• GenomicVariationComplexDiseasesPopulationMedicine_DSM_UNITO

  Dac EGAC00001002880

• DAC-ALS

  Dac EGAC00001002908

• MM DAC

  Dac EGAC00001002944

• DAA_KAIST_GSMSE

  Dac EGAC00001002952

• JohanHartman-DAC

  Dac EGAC00001002995

• JL-DAC

  Dac EGAC00001003008

• PACT DAC

  Dac EGAC00001003018

• FinHIT DAC

  Dac EGAC00001003054

• DKFZ_OE0014_CLL_TCELL_Landscape_definition_by_multiomics

  Dac EGAC00001003056

• Ashaninka DAC

  Dac EGAC00001003076

• DMG DAC

  Dac EGAC00001003144

• Principal Investigator

  Dac EGAC00001003164

• BCTL DAC

  Dac EGAC00001003428

• MPIP DAC

  Dac EGAC00001003412

• DMG DAC

  Dac EGAC00001003418

• NKI IRB

  Dac EGAC00001003455

• RAVING DAC

  Dac EGAC00001002506

• MEDGEN_ONCO

  Dac EGAC00001003482

• Admin

  Admin

  Dac EGAC50000000304

• DIAMOND DAC

  Dac EGAC50000000302

• HRD-manuscript_Microarray_CytoSNP-Data

  Dac EGAC00001003528

• Brazilian Genomes

  Dac EGAC50000000368

• Cold Ischemia Study

  Dac EGAC00001003575

• Kiritimati DAC

  Dac EGAC00001003527

• EGA file encryption types

  EGA file encryption The European Genome-Phenome Archive (EGA) stands as a significant initiative in the field of genomics, facilitating the secure storage and sharing of vast amounts of genomic data. Jointly hosted by the Centre for Genomic Regulation (CRG) and the European Bioinformatics Institute (EMBL-EBI), the EGA offers a robust infrastructure for managing encrypted data, ensuring the privacy and integrity of sensitive genomic information. Both CRG and EMBL-EBI play pivotal roles in the EGA, each institution bringing unique expertise in managing different types of encryptions. EMBL-EBI EGACryptor encryption system, while CRG utilises Crypt4GH, resulting in two distinct encryption file types: cip and c4gh, respectively. How can I check the file encryption? To access your dataset of interest on the European Genome-Phenome Archive (EGA) and determine the corresponding encryption file extension, please follow these step-by-step instructions: Utilise the search or navigation features provided on the EGA website to locate the dataset you are interested in. Once you find the dataset webpage, click on the "Files" tab, typically located on the dataset's webpage. Upon reaching the "Files" tab, you will be presented with a table containing comprehensive information about the files associated with the dataset. This table will include various columns, such as "File Name," "Size," and "Location." The "Location" column is particularly relevant for determining the encryption file extension. Figure 1: File table showing all the information available for the files in a dataset. This table is specific for each dataset. To identify the encryption file extension corresponding to a specific file, locate the "Location" column in the table. If the file is archived in Spain, the file will have the .c4gh extension, indicating that it is encrypted using Crypt4gh. Conversely, if the file is archived in the UK, the encrypted file extension will be .cip, indicating the usage of EGACryptor for encryption. It is worth noting that a file can be available in both locations, meaning it will be accessible with both file extensions (.c4gh and .cip). This allows users to choose the encryption method that aligns with their preferred platform or analysis tools.

  Documentation check-encryption-type

• McQuillin_Global_London_SCZ_Bipolar_WES

  "McQuillin_Global_London_SCZ_Bipolar_WES. This research project was a collaboration between University College London, UK and the Stanley Center at the Broad Institute. In this project we sequenced and analyzed the whole exomes of 1,623 Schizophrenia and Bipolar case/control samples from collaborators in UK. Genomic DNA from each sample was sequenced to a mean depth of 20x. For EGA Study ID: 1128"

  Dac EGAC50000000311

• Neuroblastoma_MP-PCR_MultiplexPCR_TargetedSequencing_BAMs

  This dataset contains raw sequencing data (BAM/BAI files) generated from human neuroblastoma patient samples. The data were produced using targeted high-throughput next-generation sequencing and are intended to support genomic analyses of tumor-associated alterations. All files are provided under controlled access in accordance with EGA data protection requirements.

  Dataset EGAD50000002260

• Hangzhou Cancer study

  Dac EGAC00001000765

• UCT ESSM WES data

  Dac EGAC00001000938

• UK Warfarin Consortium

  Dac EGAC00001000301

• GNE DevSci DAC

  Dac EGAC00001002504