|
|
|
|
| LEADER |
01318 am a22001933u 4500 |
| 001 |
358064 |
| 042 |
|
|
|a dc
|
| 100 |
1 |
0 |
|a Pengelly, Reuben
|e author
|
| 700 |
1 |
0 |
|a Gibson, Jane
|e author
|
| 700 |
1 |
0 |
|a Andreoletti, Gaia
|e author
|
| 700 |
1 |
0 |
|a Collins, Andrew
|e author
|
| 700 |
1 |
0 |
|a Mattocks, Christopher J.
|e author
|
| 700 |
1 |
0 |
|a Ennis, Sarah
|e author
|
| 245 |
0 |
0 |
|a A SNP profiling panel for sample tracking in whole-exome sequencing studies
|
| 260 |
|
|
|c 2013-09-27.
|
| 856 |
|
|
|z Get fulltext
|u https://eprints.soton.ac.uk/358064/1/gm492.pdf
|
| 520 |
|
|
|a Whole-exome sequencing provides a cost-effective means to sequence protein coding regions within the genome, which are significantly enriched for etiological variants. We describe a panel of single nucleotide polymorphisms (SNPs) to facilitate the validation of data provenance in whole-exome sequencing studies. This is particularly significant where multiple processing steps necessitate transfer of sample custody between clinical, laboratory and bioinformatics facilities. SNPs captured by all commonly used exome enrichment kits were identified, and filtered for possible confounding properties. The optimised panel provides a simple, yet powerful, method for the assignment of intrinsic, highly discriminatory identifiers to genetic samples
|
| 540 |
|
|
|a cc_by_4
|
| 655 |
7 |
|
|a Article
|
