Low input LC WGS
|Study ID||Alternative Stable ID||Type|
Study Datasets 4 datasets.
Click on a Dataset ID in the table below to learn more, and to find out who to contact about access to these data
The colorectal adenoma-carcinoma sequence has provided a paradigmatic framework for understanding the successive somatic genetic events and consequent clonal expansions leading to cancer. As for most cancer types, however, understanding of the earliest phases of colorectal neoplastic change, which may occur in morphologically normal tissue, is comparatively limited because of the difficulty of detecting somatic mutations in normal cells. Each colorectal crypt is a small clone of cells derived ... (Show More)
|HiSeq X Ten||578|
R&D project to develop low input library construction methods. . This dataset contains all the data available for this study on 2019-04-01.
|HiSeq X Ten,Illumina HiSeq 2500||559|
Somatic mutations accumulate in healthy tissues as we age, giving rise to cancer and potentially contributing to ageing. To study somatic mutations in non-neoplastic tissues, we developed a series of protocols to sequence the genomes of small populations of cells isolated from histological sections. Here, we describe a complete workflow that combines laser-capture microdissection (LCM) with low-input genome sequencing, whilst circumventing the use of whole-genome amplification (WGA). The ... (Show More)
|HiSeq X Ten,Illumina NovaSeq 6000||18|
This dataset contains 160 single-cell derived blood colonies from two neonates and 6 adults. It also contains 18 samples that were used as matched normals to call mutations in NanoSeq data (dataset EGAD00001006459).
|HiSeq X Ten,Illumina NovaSeq 6000||176|