Rene Te Boekhorst
Overview
Explore the profile of Rene Te Boekhorst including associated specialties, affiliations and a list of published articles.
Author names and details appear as published. Due to indexing inconsistencies, multiple individuals may share a name, and a single author may have variations. MedLuna displays this data as publicly available, without modification or verification
Snapshot
Snapshot
Articles
7
Citations
33
Followers
0
Related Specialty
Related Specialty
Top 10 Co-Authors
Top 10 Co-Authors
Published In
Affiliations
Affiliations
Soon will be listed here.
Recent Articles
1.
Abnizova I, Stapel C, Boekhorst R, Lee J, Hemberg M
BMC Biol
. 2024 Apr;
22(1):78.
PMID: 38600550
Background: Regulation of transcription is central to the emergence of new cell types during development, and it often involves activation of genes via proximal and distal regulatory regions. The activity...
2.
Abnizova I, Leonard S, Skelly T, Brown A, Jackson D, Gourtovaia M, et al.
J Bioinform Comput Biol
. 2012 Jul;
10(2):1241005.
PMID: 22809341
The new generation of short-read sequencing technologies requires reliable measures of data quality. Such measures are especially important for variant calling. However, in the particular case of SNP calling, a...
3.
Boekhorst R, Abnizova I, Nehaniv C
Biosystems
. 2007 Nov;
91(1):183-94.
PMID: 18029086
In this paper we analyse the efficiency of two methods, rescaled range analysis and detrended fluctuation analysis, in distinguishing between coding DNA, regulatory DNA and non-coding non-regulatory DNA of Drosophila...
4.
Robinson M, Sun Y, Boekhorst R, Kaye P, Adams R, Davey N, et al.
Pac Symp Biocomput
. 2006 Nov;
:391-402.
PMID: 17094255
The location of cis-regulatory binding sites determine the connectivity of genetic regulatory networks and therefore constitute a natural focal point for research into the many biological systems controlled by such...
5.
Orlov Y, Boekhorst R, Abnizova I
J Bioinform Comput Biol
. 2006 Jul;
4(2):523-36.
PMID: 16819800
Identifying regions of DNA with extreme statistical characteristics is an important aspect of the structural analysis of complete genomes. Linguistic methods, mainly based on estimating word frequency, can be used...
6.
Abnizova I, Rust A, Robinson M, Boekhorst R, Gilks W
J Bioinform Comput Biol
. 2006 Jul;
4(2):425-41.
PMID: 16819793
One of the main goals of analysing DNA sequences is to understand the temporal and positional information that specifies gene expression. An important step in this process is the recognition...
7.
Abnizova I, Boekhorst R, Walter K, Gilks W
BMC Bioinformatics
. 2005 Apr;
6:109.
PMID: 15857505
Background: This paper addresses the problem of recognising DNA cis-regulatory modules which are located far from genes. Experimental procedures for this are slow and costly, and computational methods are hard,...