MeSH ID: n/a
There are many different variation of this technique, but they all share one common characteristics: the use of restriction enzyme(s) to reduce genome complexity and genotype multiple DNA samples prior to High-Throughput-Sequencing.
Best practice for sharing this type of data:
Minimally, a file (metadata) containing information identifying individual barcodes, the restriction enzyme(s), and individual names. One (or several) fastq (compressed) files with DNA sequences should be included.
Most suitable repositories:
Data may be added to DNA Databank of Japan, Genetic Testing Registry, NCBI Genome, NCBI Gene, ENA, Fungal and Oomycete genomics resource, Reference Sequence Database, GenBank, Genomic Expression Archive, and SRA.
Best practice for indicating re-use of existing data:
For public datasets please provide a DOI or other stable identified for the dataset itself *and* include a citation for the dataset in the reference list. Be sure to indicate exactly which data has been re-used, particularly when multiple versions of the dataset exist. In many cases, this is best achieved by sharing the code used to extract the part of the data that you analyzed. In some cases it may be best to share the exact dataset(s) you analyzed as well.
For access-controlled data authors should provide a link to instructions for obtaining access (e.g. here is the information page for ADNI (Alzheimer's Disease Neuroimaging Initiative): http://adni.loni.usc.edu/data-samples/access-data/).
When re-using a private dataset from a previous study please contact the data owners to discuss how the data can be made public.