17,297 research outputs found
Letzte Worte, Die Derselbe Am Sonntage Cantate, den 19. Maji 1726 zu seiner anvertrauten Gemeinde geredet, Und Mittwochs darauf den 22. ejusdem zu ihr reden wollen, Hieran aber durch die den 21. an Ihm verübte Meuchel-Mörderische Entleibung verhindert worden
Widmung unterschrieben von den SöhnenFingerprint nach Ex. der ULB Sachsen-Anhalt. - Alternatvfingerprint nach Ex. der ULB Sachsen-Anhalt ohne [2] Bl. WidmungVorlage des Erscheinungsvermerks: Dresden, zu finden bey Christian Robringen, Druckts Johann Christoph Krause, 1726.Frontisp. (Portr.
Letzte Worte, Die Derselbe Am Sonntage Cantate, den 19. Maji 1726 zu seiner anvertrauten Gemeinde geredet, Und Mittwochs darauf den 22. ejusdem zu ihr reden wollen, Hieran aber durch die den 21. an Ihm verübte Meuchel-Mörderische Entleibung verhindert worden
Widmung unterschrieben von den SöhnenFingerprint nach Ex. der ULB Sachsen-Anhalt. - Alternatvfingerprint nach Ex. der ULB Sachsen-Anhalt ohne [2] Bl. WidmungVorlage des Erscheinungsvermerks: Dresden, zu finden bey Christian Robringen, Druckts Johann Christoph Krause, 1726.Frontisp. (Portr.
From single genomes to natural microbial communities : novel methods for the high-throughput analysis of genomic sequences
Krause L. From single genomes to natural microbial communities : novel methods for the high-throughput analysis of genomic sequences. Bielefeld (Germany): Bielefeld University; 2007.Advances in sequencing technologies provide the opportunity to rapidly produce vast genomic data sets at a low price. In particular, the recently developed, ultra-fast 454 pyrosequencing has dramatically reduced the cost and time requirements per sequenced base pair. Furthermore, novel methods have been developed that enable sequencing of the 99 percent of microbes that are difficult to access with conventional, culture-dependent approaches. These culture-independent methods launch the exciting field of metagenomics - the study of the collective genomes (metagenomes) of free-living microbial communities.
In light of the immense data sets produced, sequence analysis is still a contemporary, ongoing challenge in computational biology. Additionally, new demands arise from the short length of sequence reads produced by ultra-fast sequencing techniques. In the field of whole-genome research, accurate methods are required for identifying and functionally characterizing the gene content of organisms, thus reducing the required manual effort while at the same time producing high-quality annotations. On the other hand, metagenomes are nowadays routinely sequenced, and an increasing number of metagenomic projects is expected in the near future (Pennisi, 2007), but their computational analysis is still in its infancy.
In the presented thesis, state-of-the-art machine learning techniques as well as algorithmic and statistical methods are employed for the high-throughput analysis and characterization of large genomic data sets. First, the gene finding software GISMO was developed, which combines the search for protein domains using profile hidden Markov models (pHMMs) with a sequence composition-based classification using a Support Vector Machine. This combined strategy is able to unveil almost the complete gene content of prokaryotic genomes in a fully automated manner. GISMO has already been extensively employed in the international effort to "Annotate a Thousand Genomes" as well as in various genome annotation and re-annotation projects.
Furthermore, a novel gene finding algorithm for metagenomic data sets was developed. It is robust for most problems encountered when predicting genes in metagenomes, including short sequence length and low sequence quality. Thereby, the algorithm allows to hunt for novel, unknown genes carried by organisms that cannot be sequenced using conventional, culture dependent techniques.
Finally, methods were devised for characterizing short-read metagenomes obtained by pyrosequencing. Following the pHMM-based identification of gene fragments, the latter are categorized into functional groups. Additionally, the source organisms (taxonomic origins) of gene fragments are predicted. The resulting genetic and taxonomic profiles can in turn be used to unveil important trends in the gene content, metabolism, and species composition of the underlying microbial communities
The Production of Counter-Publics and the Counter-Publics of Production
An Interview with Oskar Neg
PPEG - Political Parties, Presidents, Elections and Governments, Version 2022v1
The PPEG Database contains information on political parties, presidents, elections, and governments around the world. Version 2022v1 covers 72 countries in Africa, the Americas, Asia, Australia, and Europe between 1945 and 2021 including data on 3 030 political parties, 1 011 parliamentary elections, 338 presidential elections, and 1 881 cabinets.
See https://ppeg.wzb.eu/ for additional information.
Current collaborators: Werner Krause (since 2011, University of Potsdam) and Robert Stelzle (since 2020, WZB Berlin).
Past contributors: Sven Regel (2009-2021), Klara Podkowik (2019-2020), Markus Konrad (2017, 2020), Clara Montero (2017-2019), Alexandra Keiner (2016-2019), Dag Tanneberg (2008-2011), Sandra Brunsbach (2005-2007), Felix Schwarzer (2003-2005), Alexander Belussov (2000-2003), Kai-Uwe Schnapp (1999-2002).
Data collection initiated by Edeltraud Roller and Bernhard Weßels (1999).
Supported by the WZB Berlin Social Science Center
PPEG - Political Parties, Presidents, Elections and Governments, Version 2024v1
The PPEG Database contains information on political parties, presidents, elections, and governments around the world. Version 2024v1 covers 73 countries in Africa, the Americas, Asia, Australia, and Europe between 1945 and 2023 including data on 3 261 political parties, 1 060 parliamentary elections, 380 presidential elections, and 1 961 cabinets.
See https://ppeg.wzb.eu/ for additional information.
Current collaborators: Werner Krause (since 2011, University of Potsdam) and Robert Stelzle (since 2020, WZB Berlin).
Past contributors: Sven Regel (2009-2021), Klara Podkowik (2019-2020), Markus Konrad (2017, 2020), Clara Montero (2017-2019), Alexandra Keiner (2016-2019), Dag Tanneberg (2008-2011), Sandra Brunsbach (2005-2007), Felix Schwarzer (2003-2005), Alexander Belussov (2000-2003), Kai-Uwe Schnapp (1999-2002).
Data collection initiated by Edeltraud Roller and Bernhard Weßels (1999).
Supported by the WZB Berlin Social Science Center
Douglas Alexander Stewart, poet, author and playwright
Douglas Alexander Stewart, poet, author and playwrigh
Senior Recital: Kent Alexander Krause, Euphonium; October 27, 2002
Kemp Recital HallSunday AfternoonOctober 27, 20025:30 p.m
Scalable collaborative software visualization as a service: short industry and experience paper
Software visualizations are used by software developers, for instance, for program comprehension. In this context, a less researched aspect is the collaborative use of online visual-ization services. This paper presents the conceptual design and a prototype implementation of our approach for a collaborative software visualization service for program comprehension. The central idea is an online available software-as-a-service application that analyzes, persists, and visualizes software applications which users intend to explore and comprehend via software visualization. The resulting implementation is a redevelopment of our live trace visualization tool Explor Viz. In comparison to other approaches, ExplorViz utilizes WebGL and other browser technologies instead of a game engine to render its visualizations. As a result, we achieve a platform-independent interoperability that is crucial for (remote) collaboration. Here, users can explore the same visualization via our collaboratively usable desktop, virtual reality, and also augmented reality modes. Our prototype follows the Twelve-Factor App methodology to build a cloud-native application that comprises multiple scalable microservices. Thanks to horizontal scaling, our implementation is capable to analyze a large amount of visualization data; thus, allowing multiple users to simultaneously use the software visualization service. We conducted a set of preliminary performance exper-iments to benchmark our prototype's scalability. Results show that the evaluated service scales linearly with increasing load.</p
Graduate Recital: Kent Alexander Krause, Euphonium; March 31, 2007
Kemp Recital HallSaturday EveningMarch 31, 20077:00 p.m
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