Back to Search Start Over

Kvantificering af massively parallel sequencing-biblioteker - et komparativt studie af otte metoder

Authors :
Hussing, Christian
Kampmann, Marie-Louise
Mogensen, Helle Smidt
Børsting, Claus
Morling, Niels
Hussing, Christian
Kampmann, Marie-Louise
Mogensen, Helle Smidt
Børsting, Claus
Morling, Niels
Source :
Hussing , C , Kampmann , M-L , Mogensen , H S , Børsting , C & Morling , N 2018 , ' Quantification of massively parallel sequencing libraries - a comparative study of eight methods ' , Scientific Reports , vol. 8 , 1110 . <
Publication Year :
2018

Abstract

Quantification of massively parallel sequencing libraries is important for acquisition of monoclonal beads or clusters prior to clonal amplification and to avoid large variations in library coverage when multiple samples are included in one sequencing analysis. No gold standard for quantification of libraries exists. We assessed eight methods of quantification of libraries by quantifying 54 amplicon, six capture, and six shotgun fragment libraries. Chemically synthesized double-stranded DNA was also quantified. Light spectrophotometry, i.e. NanoDrop, was found to give the highest concentration estimates followed by Qubit and electrophoresis-based instruments (Bioanalyzer, TapeStation, GX Touch, and Fragment Analyzer), while SYBR Green and TaqMan based qPCR assays gave the lowest estimates. qPCR gave more accurate predictions of sequencing coverage than Qubit and TapeStation did. Costs, time-consumption, workflow simplicity, and ability to quantify multiple samples are discussed. Technical specifications, advantages, and disadvantages of the various methods are pointed out.

Details

Database :
OAIster
Journal :
Hussing , C , Kampmann , M-L , Mogensen , H S , B&#248;rsting , C &amp; Morling , N 2018 , &#39; Quantification of massively parallel sequencing libraries - a comparative study of eight methods &#39; , Scientific Reports , vol. 8 , 1110 . <
Notes :
application/pdf, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1348997611
Document Type :
Electronic Resource