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15 Publications visible to you, out of a total of 15
The de.NBI / ELIXIR-DE training platform - Bioinformatics training in Germany and across Europe within ELIXIR

Abstract

Not specified

Authors: Daniel Wibberg, Bérénice Batut, Peter Belmann, Jochen Blom, Frank Oliver Glöckner, Björn Grüning, Nils Hoffmann, Nils Kleinbölting, René Rahn, Maja Rey, Uwe Scholz, Malvika Sharan, Andreas Tauch, Ulrike Trojahn, Björn Usadel, Oliver Kohlbacher

Date Published: 2019

Publication Type: Journal

Bio-entity recognition for SABIO-RK database

Abstract

Not specified

Authors: Sucheta Ghosh, Maja Rey, Ulrike Wittig, Wolfgang Müller

Date Published: 2019

Publication Type: Journal

SABIO-RK: an updated resource for manually curated biochemical reaction kinetics

Abstract

Not specified

Authors: Ulrike Wittig, Maja Rey, Andreas Weidemann, Renate Kania, Wolfgang Müller

Date Published: 4th Jan 2018

Publication Type: Journal

Data management and data enrichment for systems biology projects

Abstract

Not specified

Authors: Ulrike Wittig, Maja Rey, Andreas Weidemann, Wolfgang Müller

Date Published: 1st Nov 2017

Publication Type: Journal

SABIO-RK, von Daten in der Publikation zur Suchlösung für Spezialisten

Abstract

Not specified

Authors: Wolfgang Müller, Meik Bittkowski, Martin Golebiewski, Renate Kania, Maja Rey, Andreas Weidemann, Ulrike Wittig

Date Published: 1st Mar 2017

Publication Type: Journal

Data extraction for the reaction kinetics database SABIO-RK

Abstract (Expand)

SABIO-RK (http://sabio.h-its.org/) is a web-accessible, manually curated database that has been established as a resource for biochemical reactions and their kinetic properties with a focus on supporting … the computational modeling to create models of biochemical reaction networks. SABIO-RK data are mainly extracted from literature but also directly submitted from lab experiments. In most cases the information in the literature is distributed across the whole publication, insufficiently structured and often described without standard terminology. Therefore the manual extraction of knowledge from the literature requires biological experts to understand the paper and interpret the data. The database offers the literature data in a structured format including annotations to controlled vocabularies, ontologies and external databases which supports modellers, as well as experimentalists, in the very time consuming process of collecting information from different publications. Here we describe the data extraction and curation efforts needed for SABIO-RK and give recommendations for publishing kinetic data in a complete and structured manner.

Authors: Ulrike Wittig, Renate Kania, Meik Bittkowski, Elina Wetsch, Lei Shi, Lenneke Jong, Martin Golebiewski, Maja Rey, Andreas Weidemann, Isabel Rojas, Wolfgang Müller

Date Published: 1st May 2014

Publication Type: Journal

Challenges for an enzymatic reaction kinetics database.

Abstract (Expand)

The scientific literature contains a tremendous amount of kinetic data describing the dynamic behaviour of biochemical reactions over time. These data are needed for computational modelling to create … models of biochemical reaction networks and to obtain a better understanding of the processes in living cells. To extract the knowledge from the literature, biocurators are required to understand a paper and interpret the data. For modellers, as well as experimentalists, this process is very time consuming because the information is distributed across the publication and, in most cases, is insufficiently structured and often described without standard terminology. In recent years, biological databases for different data types have been developed. The advantages of these databases lie in their unified structure, searchability and the potential for augmented analysis by software, which supports the modelling process. We have developed the SABIO-RK database for biochemical reaction kinetics. In the present review, we describe the challenges for database developers and curators, beginning with an analysis of relevant publications up to the export of database information in a standardized format. The aim of the present review is to draw the experimentalist's attention to the problem (from a data integration point of view) of incompletely and imprecisely written publications. We describe how to lower the barrier to curators and improve this situation. At the same time, we are aware that curating experimental data takes time. There is a community concerned with making the task of publishing data with the proper structure and annotation to ontologies much easier. In this respect, we highlight some useful initiatives and tools.

Authors: U. Wittig, M. Rey, R. Kania, M. Bittkowski, L. Shi, M. Golebiewski, A. Weidemann, W. Muller, I. Rojas

Date Published: 30th Oct 2013

Publication Type: Journal

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