17518 results for "free coins in fc 26 Visit Buyfc26coins.com for latest FC 26 coins news..Y2KA"

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• BCR-HGBCL-DH-BCL2 project DAC

  Data Access Committee for high-grade B cell lymphomas MYC-BCL2 datasets

  Dac EGAC50000000500

• Therapy and RNA group Ghent DAC

  This is a Data Access Committee for datasets of the Therapy and RNA group Ghent (TaRGeT, Belgium).

  Dac EGAC50000000491

• PDX WES for #87, #95, #32, #217, #86

  Exome sequencing of tumour PDX and matched patient blood

  Dataset EGAD50000000215

• AS_genotyping

  AS genotyping data for lead SNPs using Illuminia Global Array V2.0

  Dataset EGAD00010002476

• BRACOVID_genotype

  Cohort: Raw genotype files for BRACOVID cohort. Genotype Chip: Axiom_PMRA.r3 array genomic build: b37

  Dataset EGAD00010002172

• NativeAmericans_InstitutoNacionaldeSalud_hg38_autosomic_3group

  Genome-wide data for 130 Native American individuals from Peru

  Dataset EGAD00010001992

• NativeAmericans_InstitutoNacionaldeSalud_hg37_autosomic_1group

  Genome-wide data for 71 Native American individuals from Peru

  Dataset EGAD00010001991

• NativeAmericans_InstitutoNacionaldeSalud_hg38_autosomic_2group

  Genome-wide data for 59 Native American individuals from Peru

  Dataset EGAD00010001990

• SOGEN_MATRILINEAL_PUZZLE

  598764 SNPs genotyped for 719 indivuals, merge from Illumina Omni1 and Illumina Omni2.5

  Dataset EGAD00010001724

• TP53_KO_RPE1_SNPs

  Allelic imbalance data for cell lines derived from RPE1 with TP53 knockout

  Dataset EGAD00010001566

• EGAD00010000538

  28 unlinked autosomal microsatellite loci for 20 African and 4 philippine populations

  Dataset EGAD00010000538

• Whole Exome Sequencing for Verhaak-GBM

  Dataset EGAD00001001111

• Whole Exome Data for Verhaak-GBM

  Dataset EGAD00001001112

• Whole Exome sequencing for Verhaak-GBM

  Dataset EGAD00001001113

• SAIF Alignment File

  This is the bam file generated after alignment using BWA program for the SAIF genome

  Dataset EGAD00001000249

• Whole genome sequencing data of ccRCCs

  Whole genome sequencing data of ccRCCs were utilized for somatic variations calling.

  Dataset EGAD00001004588

• Genome-wide DNA Methylation Analysis Reveals a Unique Methylation Pattern for Pleural Mesothelioma Compared to Healthy Pleura and Other Lung Diseases

  Study EGAS00001007783

• Exome sequencing VCF files for glioma progression

  Exome sequencing VCF files describing mutations during glioma progression.

  Dataset EGAD00001001887

• RNAseq data

  RNAseq data for 10 patients: 10 tumors and 10 cell lines

  Dataset EGAD00001002691

• Phylogenetic reconstruction of breast cancer

  This dataset contains the fastq files used for this study

  Dataset EGAD00001006121

• Biomarker Data Subset

  This dataset contains data for CBC counts and absolute protein abundance measurements from ELISA experiments.

  Dataset EGAD00001011163

• Genetic and Genomic Stability Across Lymphoblastoid Cell Line Expansions

  This study was focused on exploring genetic and genomic stability across cell line expansions. We used DNA and cell lines sampled from six apparently healthy research participants. We assayed genome-wide genetic variants and inferred structural variants for DNA extracted from blood, from transformed cell cultures, and from three generations of expansions.

  Study phs001650

• LCCC 1108: Development of a Tumor Molecular Analyses Program and Its Use to Support Treatment Decisions (UNCseqTM)

  The primary objective of this specimen correlative study was two-fold: to provide a mechanism for the association of known molecular alterations with clinical outcomes, and to provide rapid genetic profiling of alterations with known clinical utility using tumor and germline specimens to support treatment decisions.

  Study phs001713

• DAC for Breast Invasive Lobular Carcinoma CDH1 study

  We developed an artificial intelligence (AI)-model applied to histological images trained using CDH1 biallelic mutations, pathognomonic for breast invasive lobular carcinoma (ILC), as ground truth. We evaluated the performance of the AI-model to predict the presence of CDH1 biallelic mutations and to diagnose ILC. Subsequently, we investigated the molecular underpinning of cases predicted by the model to harbor a CDH1 biallelic mutations but lacking these alterations according to targeted sequencing. We then subjected one ILC lacking CDH1 biallelic mutations and lacking CDH1 promoter methylation to whole genome sequencing (WGS) to determine the molecular basis of its lobular phenotype.

  Dac EGAC50000000333

• Genome sequencing of biliary tract cancers

  Biliary tract cancers (BTCs) are clinically and pathologically heterogeneous with poor response to treatments. Genomic profiling can offer a clearer understanding of their carcinogenesis, classification and treatment strategy. We performed genome sequencing analyses for a large scale samples of BTCs to investigate their somatic and germline driver events and characterize their genomic landscape.

  Study JGAS000109