Analysing data from whole exome sequencing to find de novo causal variants

C.G.F. de Kovel; B.P.C. Koeleman

Analysing data from whole exome sequencing to find de novo causal variants

Translated title of the contribution: Analysing data from whole exome sequencing to find de novo causal variants

Research output: Contribution to conference › Poster › Other research output

Translated title of the contribution	Analysing data from whole exome sequencing to find de novo causal variants
Original language	Undefined/Unknown
Publication status	Published - 25 Apr 2013
Event	EMGM - Leiden, Nederland Duration: 25 Apr 2013 → 26 Apr 2013

Conference

Conference	EMGM
City	Leiden, Nederland
Period	25/04/13 → 26/04/13

Keywords

Econometric and Statistical Methods: General
Geneeskunde (GENK)
Geneeskunde(GENK)
Medical sciences
Bescherming en bevordering van de menselijke gezondheid

Cite this

@conference{f6b990215a624ee1beb2b19f739f4b43,

title = "Analysing data from whole exome sequencing to find de novo causal variants",

keywords = "Econometric and Statistical Methods: General, Geneeskunde (GENK), Geneeskunde(GENK), Medical sciences, Bescherming en bevordering van de menselijke gezondheid",

author = "{de Kovel}, C.G.F. and B.P.C. Koeleman",

note = "EMGM; EMGM ; Conference date: 25-04-2013 Through 26-04-2013",

year = "2013",

month = apr,

day = "25",

language = "Undefined/Unknown",

}

TY - CONF

T1 - Analysing data from whole exome sequencing to find de novo causal variants

AU - de Kovel, C.G.F.

AU - Koeleman, B.P.C.

N1 - EMGM

PY - 2013/4/25

Y1 - 2013/4/25

KW - Econometric and Statistical Methods: General

KW - Geneeskunde (GENK)

KW - Geneeskunde(GENK)

KW - Medical sciences

KW - Bescherming en bevordering van de menselijke gezondheid

M3 - Poster

T2 - EMGM

Y2 - 25 April 2013 through 26 April 2013

ER -