Institution
Bielefeld University
Education•Bielefeld, Nordrhein-Westfalen, Germany•
About: Bielefeld University is a education organization based out in Bielefeld, Nordrhein-Westfalen, Germany. It is known for research contribution in the topics: Population & Quantum chromodynamics. The organization has 10123 authors who have published 26576 publications receiving 728250 citations. The organization is also known as: University of Bielefeld & UNIVERSITAET BIELEFELD.
Topics: Population, Quantum chromodynamics, Gene, Context (language use), Quark
Papers published on a yearly basis
Papers
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TL;DR: The results support the view that facial expressions communicate emotions, with emotions being multicomponential phenomena that comprise feelings, intentions, and wishes.
Abstract: Emotion theorists assume certain facial displays to convey information about the expresser's emotional state. In contrast, behavioral ecologists assume them to indicate behavioral intentions or action requests. To test these contrasting positions, over 2,000 online participants were presented with facial expressions and asked what they revealed-feeling states, behavioral intentions, or action requests. The majority of the observers chose feeling states as the message of facial expressions of disgust, fear, sadness, happiness, and surprise, supporting the emotions view. Only the anger display tended to elicit more choices of behavioral intention or action request, partially supporting the behavioral ecology view. The results support the view that facial expressions communicate emotions, with emotions being multicomponential phenomena that comprise feelings, intentions, and wishes.
224 citations
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TL;DR: In this paper, the Collins and Sivers asymmetries of identified hadrons produced in deep-inelastic scattering of 160 GeV/c muons oil a transversely polarised (LiD)-Li-6 target at COMPASS are presented.
224 citations
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TL;DR: In this paper, the authors provided a parameter-free description of the suppression of the charmonium ground state J/ ψ in a quark-gluon plasma up to 1.5 T c or more, while the excited states χ c and ψ c are dissociated just above T c.
223 citations
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TL;DR: ONDEX is a database system that combines the features of semantic database integration and text mining with methods for graph-based analysis and visualization that helps to identify causal relationships between stress response genes and metabolic pathways from gene expression data.
Abstract: Motivation: Assembling the relevant information needed to interpret the output from high-throughput, genome scale, experiments such as gene expression microarrays is challenging. Analysis reveals genes that show statistically significant changes in expression levels, but more information is needed to determine their biological relevance. The challenge is to bring these genes together with biological information distributed across hundreds of databases or buried in the scientific literature (millions of articles). Software tools are needed to automate this task which at present is labor-intensive and requires considerable informatics and biological expertise.
Results: This article describes ONDEX and how it can be applied to the task of interpreting gene expression results. ONDEX is a database system that combines the features of semantic database integration and text mining with methods for graph-based analysis. An overview of the ONDEX system is presented, concentrating on recently developed features for graph-based analysis and visualization. A case study is used to show how ONDEX can help to identify causal relationships between stress response genes and metabolic pathways from gene expression data. ONDEX also discovered functional annotations for most of the genes that emerged as significant in the microarray experiment, but were previously of unknown function.
Availability: ONDEX is freely available under the GPL License and can be downloaded from SourceForge http://ondex.sourceforge.net/
Contact: Jacob.Koehler@bbsrc.ac.uk
Supplementary information: Supplementary data are available at Bioinformatics online.
222 citations
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TL;DR: This study formalizes the concept of abstract shapes and introduces their efficient computation, and applied RNAshapes to the prediction of optimal and suboptimal abstract shapes of several RNAs, demonstrating that the researcher can quickly focus on the structures of interest, without processing up to thousands of near-optimal solutions.
Abstract: The function of a non-protein-coding RNA is often determined by its structure. Since experimental determination of RNA structure is time-consuming and expensive, its computational prediction is of great interest, and efficient solutions based on thermodynamic parameters are known. Frequently, however, the predicted minimum free energy structures are not the native ones, leading to the necessity of generating suboptimal solutions. While this can be accomplished by a number of programs, the user is often confronted with large outputs of similar structures, although he or she is interested in structures with more fundamental differences, or, in other words, with different abstract shapes. Here, we formalize the concept of abstract shapes and introduce their efficient computation. Each shape of an RNA molecule comprises a class of similar structures and has a representative structure of minimal free energy within the class. Shape analysis is implemented in the program RNAshapes. We applied RNAshapes to the prediction of optimal and suboptimal abstract shapes of several RNAs. For a given energy range, the number of shapes is considerably smaller than the number of structures, and in all cases, the native structures were among the top shape representatives. This demonstrates that the researcher can quickly focus on the structures of interest, without processing up to thousands of near-optimal solutions. We complement this study with a large-scale analysis of the growth behaviour of structure and shape spaces. RNAshapes is available for download and as an online version on the Bielefeld Bioinformatics Server.
222 citations
Authors
Showing all 10375 results
Name | H-index | Papers | Citations |
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Stefan Grimme | 113 | 680 | 105087 |
Alfred Pühler | 102 | 658 | 45871 |
James Barber | 102 | 642 | 42397 |
Swagata Mukherjee | 101 | 1048 | 46234 |
Hans-Joachim Werner | 98 | 317 | 48508 |
Krzysztof Redlich | 98 | 609 | 32693 |
Graham C. Walker | 93 | 381 | 36875 |
Christian Meyer | 93 | 1081 | 38149 |
Muhammad Farooq | 92 | 1341 | 37533 |
Jean Willy Andre Cleymans | 90 | 542 | 27685 |
Bernhard T. Baune | 90 | 608 | 50706 |
Martin Wikelski | 89 | 420 | 25821 |
Niklas Luhmann | 85 | 421 | 42743 |
Achim Müller | 85 | 926 | 35874 |
Oliver T. Wolf | 83 | 337 | 24211 |