Daniel Hanisch
Overview
Explore the profile of Daniel Hanisch including associated specialties, affiliations and a list of published articles.
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10
Citations
218
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Recent Articles
1.
Hanisch D, Fundel K, Mevissen H, Zimmer R, Fluck J
BMC Bioinformatics
. 2005 Jun;
6 Suppl 1:S14.
PMID: 15960826
Background: Identification of gene and protein names in biomedical text is a challenging task as the corresponding nomenclature has evolved over time. This has led to multiple synonyms for individual...
2.
Lee D, Zimmer R, Lee S, Hanisch D, Park S
Genome Inform
. 2005 Feb;
15(2):234-43.
PMID: 15706509
A Petri-net based model for knowledge representation has been developed to describe as explicitly and formally as possible the molecular mechanisms of cell signaling and their pathological implications. A conceptual...
3.
Sohler F, Hanisch D, Zimmer R
Bioinformatics
. 2004 Jul;
20(10):1517-21.
PMID: 15231545
Biological networks, such as protein interaction, regulatory or metabolic networks, derived from public databases, biological experiments or text mining can be useful for the analysis of high-throughput experimental data. We...
4.
Hanisch D, Sohler F, Zimmer R
Bioinformatics
. 2004 Feb;
20(9):1470-1.
PMID: 14962941
Summary: ToPNet is a new tool for the combined visualization and exploration of gene networks and expression data. ToPNet provides various ways of restricting, manipulating and combining biological networks according...
5.
Aigner T, Zien A, Hanisch D, Zimmer R
J Bone Joint Surg Am
. 2003 May;
85-A Suppl 2:117-23.
PMID: 12721354
Background: Despite considerable limitations such as low sensitivity and insensitivity to alternative splicing, posttranscriptional regulation, and posttranslational modification, cDNA array technology provides a powerful tool with which to obtain an...
6.
Hanisch D, Fluck J, Mevissen H, Zimmer R
Pac Symp Biocomput
. 2003 Feb;
:403-14.
PMID: 12603045
A growing body of work is devoted to the extraction of protein or gene interaction information from the scientific literature. Yet, the basis for most extraction algorithms, i.e. the specific...
7.
Freudenberg J, Zimmer R, Hanisch D, Lengauer T
In Silico Biol
. 2003 Jan;
2(3):339-49.
PMID: 12542418
Classification of proteins is a major challenge in bioinformatics. Here an approach is presented, that unifies different existing classifications of protein structures and sequences. Protein structural domains are represented as...
8.
Albrecht M, Hanisch D, Zimmer R, Lengauer T
In Silico Biol
. 2003 Jan;
2(3):325-37.
PMID: 12542417
We present a comprehensive analysis of methods for improving the fold recognition rate of the threading approach to protein structure prediction by the utilization of few additional distance constraints. The...
9.
Hanisch D, Zimmer R, Lengauer T
In Silico Biol
. 2003 Jan;
2(3):313-24.
PMID: 12542416
We propose a specification language ProML for protein sequences, structures, and families based on the open XML standard. The language allows for portable, system-independent, machine-parsable and human-readable representation of essential...
10.
Hanisch D, Zien A, Zimmer R, Lengauer T
Bioinformatics
. 2002 Aug;
18 Suppl 1:S145-54.
PMID: 12169542
Motivation: Large scale gene expression data are often analysed by clustering genes based on gene expression data alone, though a priori knowledge in the form of biological networks is available....