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• High-resolution analyses of human sperm dynamic methylome reveals thousands of novel age-related epigenetic alterations

  Age-dependent modifications of the germ cells epigenome remain poorly understood. Our objective was to assess the DNA methylation profile of human spermatozoa during aging. A cohort study was designed to investigate the effects of age and fertility status on sperm DNA methylation.

  Study EGAS00001004168

• Human_Evolution_3

  The mtDNA and Y chromosome of up to 15 Australian Aborigines, concentrating on individuals with indigenous lineages, will be sequenced using the standard whole-genome sequencing followed by filtering out of autosomal and X sequences, so that only mtDNA and the Y chromosome will be analysed and released.

  Study EGAS00001000315

• RNAseq of human fetal pancreas development

  The dataset comprises RNA-seq information of 4 subpopulations sorted from human fetal pancreas of 3 different donors. Low input libraries were generated using the Smart-seq2 protocol after Ampure XP cleanup of the total RNA extracted from the sorted cells. Libraries were multiplexed and sequenced paired-end over 2 lanes of HiSeq4000 each. Raw data was aligned to the human genome refernence GRCh37 using STAR v2.5.1b with GENCODE v19 as transcriptome reference, and unaligned reads were folded into the final uploaded bams.

  Dataset EGAD00001004210

• Pan-cancer MSI and Lynch syndrome

  This study comprises genome-wide SNP genotyping data generated from 24 human samples using the Illumina Global Screening Array (GSA) platform. Genomic DNA was extracted from peripheral blood samples and processed according to the manufacturer’s protocol. Genotyping was performed using the Infinium assay, producing raw intensity data in IDAT format.

  Study EGAS00001008405

• Bulk RNA sequencing of Singapore colorectal cancer patients (SG-BULK)

  The study was approved by the institutional review board of Singhealth (2018-2795). Ten 5-µm tissue sections were cut using standard microtomy techniques. Each collected cell population was then extracted using the allprep kit. Extracted material was then quantified using a Qubit fluorometer.

  Study EGAS00001005978

• Whole Genome sequencing of colorectal cancer patients (SG-BULK-3)

  The study was approved by the institutional review board of Singhealth (2018-2795). Ten 5-µm tissue sections were cut using standard microtomy techniques. Each collected cell population was then extracted using the allprep kit. Extracted material was then quantified using a Qubit fluorometer.

  Study EGAS00001006056

• Whole genome sequencing of colorectal cancer patients (SG-BULK-1)

  The study was approved by the institutional review board of Singhealth (2018-2795). Ten 5-µm tissue sections were cut using standard microtomy techniques. Each collected cell population was then extracted using the allprep kit. Extracted material was then quantified using a Qubit fluorometer.

  Study EGAS00001006030

• Whole Genome sequencing of colorectal cancer patients (SG-BULK-5)

  The study was approved by the institutional review board of Singhealth (2018-2795). Ten 5-µm tissue sections were cut using standard microtomy techniques. Each collected cell population was then extracted using the allprep kit. Extracted material was then quantified using a Qubit fluorometer.

  Study EGAS00001006114

• Whole Genome sequencing of colorectal cancer patients (SG-BULK-2)

  The study was approved by the institutional review board of Singhealth (2018-2795). Ten 5-µm tissue sections were cut using standard microtomy techniques. Each collected cell population was then extracted using the allprep kit. Extracted material was then quantified using a Qubit fluorometer.

  Study EGAS00001006039

• Whole Genome sequencing of colorectal cancer patients (SG-BULK-4)

  The study was approved by the institutional review board of Singhealth (2018-2795). Ten 5-µm tissue sections were cut using standard microtomy techniques. Each collected cell population was then extracted using the allprep kit. Extracted material was then quantified using a Qubit fluorometer.

  Study EGAS00001006101