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The Complete Genome of a Single Individual by Massively Parallel DNA Sequencing

GSE10668 Homo sapiens (human) Genome variation profiling by genome tiling array; Genome variation profiling by SNP array; SNP genotyping by SNP array 6 samples Submitted 2008/02/29 Platform GPL4544Platform GPL3720Platform GPL3718
At a glance

human · 6 samples

Organism
Homo sapiens (human)
Samples
6 samples
Data you can get
A processed table (series matrix) and supplementary files from NCBI.
Summary (written by the submitters)
The association of genetic variation with disease and drug response, together with improvements in nucleic acids technologies, has given great optimism for the impact of 'genomic medicine'. However, the formidable size of the diploid human genome has prevented the routine application of sequencing methods to deciphering complete individual human genomes, and has so far limited the realization of the full potential of genomics for science and human health.
Read the full summary ↓
Working towards the goal of harnessing the power of genomics, we sequenced the diploid genome of a single individual, Dr. James D. Watson, using a massively-parallel method of sequencing in picoliter size reaction vessels. Here we report the results of genotyping the subject's DNA using an Affymetrix 500k GeneChip as well as copy number variations as reported by Agilent 244k comparative genomic hybridization arrays. Keywords: Genotyping, copy number variation (CNV), aCGH
This dataset
Download · which file do I need?

Direct links to NCBI, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.

1 · Just have a look

Processed table

The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.

2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need.

All supplementary files ↗
3 · The original raw files

Whole study · RAW.tar

Everything the authors deposited as one archive (GSE10668_RAW.tar), including the raw array or instrument files. Can be large; the picker in step 2 takes just the samples you need.

Also filed as BioProject PRJNA107641. Searching any of these in the dataset finder brings you back here.

Samples in this study

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