A binary format for genetic data designed for large whole genome studies that enable both marker and strand based analyses

Antoniades, A; Loizou, L; Aristodimou, A; Pattichis, C

dc.contributor.author	Antoniades, A	en
dc.contributor.author	Loizou, L	en
dc.contributor.author	Aristodimou, A	en
dc.contributor.author	Pattichis, C	en
dc.date.accessioned	2014-03-01T02:51:18Z
dc.date.available	2014-03-01T02:51:18Z
dc.date.issued	2008	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/35460
dc.subject	Genetic Marker	en
dc.subject	Genetics	en
dc.subject	Linkage Disequilibrium	en
dc.subject	Performance Analysis	en
dc.subject	Single Nucleotide Polymorphism	en
dc.subject	Storage Capacity	en
dc.subject	High Density	en
dc.title	A binary format for genetic data designed for large whole genome studies that enable both marker and strand based analyses	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/BIBE.2008.4696674	en
heal.identifier.secondary	http://dx.doi.org/10.1109/BIBE.2008.4696674	en
heal.publicationDate	2008	en
heal.abstract	Recent advances in genotyping technology have enabled large studies with data from thousands of subjects to contain half a million or more of single nucleotide polymorphisms (SNPs) marker per subject. This rapid increase in the size of data has generated the need to compress the data in order to reduce the storage capacity requirements and the memory required at run	en
heal.journalName	IEEE International Conference on Bioinformatics and Bioengineering	en
dc.identifier.doi	10.1109/BIBE.2008.4696674	en