19319 results for "Buy fc 26 coins Buyfc26coins.com is EA Sports official for FC 26 coins This is the best service ever..VBsp"

in 31.10 milliseconds.

• RNA-Seq of patient-derived fibroblast cell lines with inborn errors of cobalamin (vitamin B12) metabolism and controls

  RNA sequencing of 31 patient-derived fibroblast cell lines from patients with inborn errors of cobalamin (vitamin B12) metabolism, and 7 control samples. The RNA seq library was prepared using the TruSeq Stranded Total RNA Sample Preparation Kit (Illumina RS-122–2301) including Ribo-Zero Gold depletion to remove ribosomal RNA. Sequencing was done via llumina Hi-Seq2000 sequencer, using 100bp paired end reads.

  Dataset EGAD00001003142

• Exome sequencing identifies frequent mutation of the SWI/SNF complex gene PBRM1 in renal carcinoma

  Exome sequencing identifies frequent mutation of the SWI/SNF complex gene PBRM1 in renal carcinoma

  Dataset EGAD00001000001

• Array-based DNA methylation analysis in blood from patients with Snijders Blok–Campeau syndrome (CHD3)

  DNA methylation array data generated using the Illumina Infinium MethylationEPIC BeadChip (v1.0 and v2.0) from whole-blood DNA of patients with Snijders Blok–Campeau syndrome (ORPHA:599082). Raw IDAT files were generated to identify differentially methylated regions in typical and atypical patients.

  Study EGAS00001008414

• Copy Number Abnormalities of Chr1 in Multiple Myeloma at the Single Cell Level

  Single-cell whole genome sequencing (scWGS) provides a tool to gain deeper insights into the clonal relationships of Chr1 copy number changes. Here, we study Chr1 copy number alteration (CNA) using Direct library preparation plus (DLP+), a scalable scWGS platform implemented by image-based object recognition, and open-source computational methods. We report scWGS of 2,046 cells with 400-650 single-cells per patient from 5 Multiple Myeloma patients selected from our biobank with chr1q gains identified by iFISH using a CKS1B probe (IRB S21-01218 and I19-01384)

  Study phs004109

• Genome and transcriptome sequence data from a metastatic adenocarcinoma of the lung patient

  Genome and transcriptome sequence data from a metastatic adenocarcinoma of the lung patient, generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study

  Dataset EGAD00001004708

• Genome and transcriptome sequence data from a adenocarcinoma of the liver patient

  Genome and transcriptome sequence data from a adenocarcinoma of the liver patient, generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study

  Dataset EGAD00001004706

• Genome and transcriptome sequence data from a metastatic adenocarcinoma of the lung patient

  Genome and transcriptome sequence data from a metastatic adenocarcinoma of the lung patient, generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study

  Dataset EGAD00001003612

• Genome and transcriptome sequence data from a mullerian mixed tumor with carcinosarcoma of the ovaries patient

  Genome and transcriptome sequence data from a mullerian mixed tumor with carcinosarcoma of the ovaries patient, generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study

  Dataset EGAD00001003610

• Genome and transcriptome sequence data from a metastatic adenocarcinoma of the rectum patient

  Genome and transcriptome sequence data from a metastatic adenocarcinoma of the rectum patient, generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study

  Dataset EGAD00001003606

• Direct transcriptional consequences of somatic mutation in breast cancer

  The disordered transcriptomes of cancer encompass direct effects of somatic mutation on transcription; co-ordinated secondary alterations in transcriptional pathways; and increased transcriptional noise. To catalogue the rules governing how somatic mutation Overall, 59% of 6980 exonic substitutions were expressed. Compared to other classes, nonsense mutations showed lower expression levels than expected with patterns characteristic of nonsense-mediated decay. 14% of 4234 genomic rearrangements caused transcriptional abnormalities, including exon skips, exon reusage, fusion transcripts and premature poly-adenylation. We found productive, stable transcription from sense-to-antisense gene fusions and gene-to-intergenic rearrangements, suggesting that these mutation classes may drive more transcriptional disruption than previously suspected. Systematic integration of transcriptome with genome data therefore reveals the rules by which transcriptional machinery interprets somatic mutation.

  Dataset EGAD00001002236