Carbohydrate recognition in water and combinatorial methods utilizing encoded beads for finding Avidin ligands

Research output: Book/ReportPh.D. thesisResearch

Standard

Carbohydrate recognition in water and combinatorial methods utilizing encoded beads for finding Avidin ligands. / Reenberg, Theis Kenneth.

København : Museum Tusculanum, 2009. 97 p.

Research output: Book/ReportPh.D. thesisResearch

Harvard

Reenberg, TK 2009, Carbohydrate recognition in water and combinatorial methods utilizing encoded beads for finding Avidin ligands. Museum Tusculanum, København.

APA

Reenberg, T. K. (2009). Carbohydrate recognition in water and combinatorial methods utilizing encoded beads for finding Avidin ligands. Museum Tusculanum.

Vancouver

Reenberg TK. Carbohydrate recognition in water and combinatorial methods utilizing encoded beads for finding Avidin ligands. København: Museum Tusculanum, 2009. 97 p.

Author

Reenberg, Theis Kenneth. / Carbohydrate recognition in water and combinatorial methods utilizing encoded beads for finding Avidin ligands. København : Museum Tusculanum, 2009. 97 p.

Bibtex

@phdthesis{b222a9d06fc911df928f000ea68e967b,
title = "Carbohydrate recognition in water and combinatorial methods utilizing encoded beads for finding Avidin ligands",
keywords = "Former Faculty of Pharmaceutical Sciences",
author = "Reenberg, {Theis Kenneth}",
note = "Supervisors: Mikael Begtrup, Morten Meldal, Klaus Bock. Date of Defence: 16.10.2009",
year = "2009",
language = "English",
publisher = "Museum Tusculanum",

}

RIS

TY - BOOK

T1 - Carbohydrate recognition in water and combinatorial methods utilizing encoded beads for finding Avidin ligands

AU - Reenberg, Theis Kenneth

N1 - Supervisors: Mikael Begtrup, Morten Meldal, Klaus Bock. Date of Defence: 16.10.2009

PY - 2009

Y1 - 2009

KW - Former Faculty of Pharmaceutical Sciences

M3 - Ph.D. thesis

BT - Carbohydrate recognition in water and combinatorial methods utilizing encoded beads for finding Avidin ligands

PB - Museum Tusculanum

CY - København

ER -

ID: 20169101