WorldCat Identities

Große, Ivo

Overview
Works: 23 works in 40 publications in 2 languages and 224 library holdings
Roles: dgs, Editor, Other
Publication Timeline
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Most widely held works by Ivo Große
German Conference on Bioinformatics 2009 ; 28th to 30th 2009, Martin-Luther-University Halle-Wittenberg, Germany by German Conference on Bioinformatics( Book )

1 edition published in 2009 in English and held by 34 WorldCat member libraries worldwide

Population and quantitative genetic analysis of auxin response pathways in Arabidopsis thaliana by Kristian Karsten Ullrich( )

2 editions published in 2013 in English and held by 25 WorldCat member libraries worldwide

Plant hormones are primary regulators of plant growth and development. The phytohormone auxin is related to almost all of these growth-related processes. In this thesis, I studied naturally occurring variation of growth-related traits in young Arabidopsis thaliana seedlings upon auxin treatments. In the context of adaptive selection, different quantitative genetic approaches were used and combined with the results of a population genetic study to identify genes, which might contribute to the observed phenotypic variation. The population genetic analysis included a total of 151 genes known to regulate auxin biosynthesis, metabolism, transport and signaling. To analyze auxin response traits on a functional level, quantitative genetic analyses like quantitative trait loci (QTL) mapping and genome-wide association (GWA) mapping were conducted. In general, the genetic architecture regulating the phenotypic variation in the investigated populations seems to be very complex and dominated by small effect loci. Taken together, while the complex architecture of the auxin network probably prevented the identification of large effect loci, some promising candidate genes and genomic regions were identified which require future functional validation
Comparative transcriptomics and network reconstruction with applications to auxin signaling by Yvonne Pöschl( )

2 editions published in 2016 in English and held by 18 WorldCat member libraries worldwide

Vergleichende Transkriptomanalyse; lineare Modellierung; Netzwerkrekonstruktion; Microarrays; Sondenmaskierung; Arabidopsis; Auxin; natürliche Variation; PMP; PIF
A bioinformatic study on transcriptome conservation patterns in animal and plant development [kumulative Dissertation] by Hajk-Georg Drost( )

2 editions published in 2016 in English and held by 18 WorldCat member libraries worldwide

Developmental Hourglass; Embryogenesis; Plant Development; Animal Development; Evolution; Evolutionary Developmental Biology; R Software; myTAI; orthologr
Predicting DNA binding sites using generative, discriminative, and hybrid learning principles by Jens Keilwagen( )

3 editions published in 2010 in English and held by 18 WorldCat member libraries worldwide

Computational biology; machine learning; probabilistic models; parameter estimation; learning principle; binding site; splice site; transcription start site; database curation; de-novo motif discovery
Learning inhomogeneous parsimonious Markov models with application to DNA sequence analysis by Ralf Eggeling( )

2 editions published in 2014 in English and held by 18 WorldCat member libraries worldwide

Statistische Modellierung von funktionalen Oligonukleotiden wie Transkriptionsfaktorbindungsstellen ist eines der klassischen Teilgebiete der Bioinformatik. Viele der bisherige Arbeiten auf diesem Gebiet basieren auf einem vergleichsweise einfachen Modell, welches statistische Unabhängigkeit unter allen Nukleotiden innerhalb der Bindestellen annimmt. Diese Arbeit beschäftigt sich mit einer neuen Klasse von statistischen Modellen, welche die Modellierung statistischer Abhängigkeiten zwischen benachbarten Nukleotiden ermöglicht und dabei eine sparsame Parameterisierung verwendet. Zum Lernen dieser Modelle werden verschiedene Bayessche und nicht-Bayessche Lernansätze sowohl für vollständig beobachtbare Daten als auch in Gegenwart von verborgenen Variablen diskutiert. Die Methodik wird verwendet, um Eigenschaften funktionaler Transkriptionsfaktorbindestellen auf Basis von ChIP-seq Daten zu untersuchen. Die Ergebnisse zeigen, dass statistische Abhängigkeiten innerhalb von Bindestellen in der Natur weit verbreitet sind, und dass deren Modellierung die Vorhersage von Transkriptionsfaktorbindestellen verbessert
Application of computer-based methods to analyze NAD+-dependent enzymes by Michael Scharfe( )

2 editions published in 2015 in English and held by 18 WorldCat member libraries worldwide

Toxins; Sirtuins; Sirt5; Sirt4; ADP-ribosylation; Deacylation; Molecular Modeling; Docking; Virtual Screening; Molecular Dynamics simulation
Extensions of Hidden Markov Models for the analysis of DNA microarray data by Michael Seifert( )

3 editions published in 2010 in English and German and held by 18 WorldCat member libraries worldwide

Hidden Markov Modell (HMM); Hidden Markov Modell höherer Ordnung (HHMM); Parsimonisches Hidden Markov Modell höherer Ordnung (PHHMM); Hidden Markov Modell mit skalierten Transitionsmatrizen (SHMM); Basisalgorithmen (Forward, Backward, Viterbi und State-Posterior Algorithmus); Trainingsalgorithmus (Baum-Welch und Bayes'scher Baum-Welch Algorithmus); Parsimonischer Cluster Algorithmus; DNA-Microarray-Daten (Genexpression, ChIP-chip, Array-CGH); Datensätze (Arabidopsis thaliana, Saccharomyces cerevisiae, Brustkrebs); Bioinformatik
Combinatorial biological complexity a study of amino acid side chains and alternative splicing by Konrad Grützmann( )

1 edition published in 2015 in English and held by 17 WorldCat member libraries worldwide

Both, laymen and experts have always been intrigued by nature's vast complexity and variety. Often, these phenomena arise from combination of parts, as for example, cell types of the human body, or the diverse proteins of a cell. In this thesis I investigate three instances of combinatorial complexity: combinations of aliphatic amino acid side chains, alternative mRNA splicing in fungi, and mutually exclusively spliced exons in human and mouse. In the first part the number of aliphatic amino acid side chains is studied. Structural combinations yield a vast theoretical number, yet we find that only a fraction of them is realized in nature. Reasons especially with respect to restrictions by the genetic code are discussed. Moreover, strategies for the need for increased diversity are examined. In the second part, the extent of alternative splicing (AS) in fungi is investigated. A genome-wide, comparative multi-species study is conducted. I find that AS is common in fungi, but with lower frequency compared to plants and animals. AS is more common in more complex fungi, and is over-represented in pathogens. It is hypothesized that AS contributes to multi-cellular complexity in fungi. In the third part, mutually exclusive exons (MXEs) of mouse and human are detected and characterized. Rather unexpected patterns arose: the majority of MXEs originate from non-adjacent exons and frequently appear in clusters. Known regulatory mechanisms of MXE splicing are unsuitable for these MXEs, and thus, new mechanisms have to be sought. Summarizing it is hypothesized that complexity from combinations constitutes a universal principle in biology. However, there seems to be a need to restrict the combinatorial potential. This is highlighted by the interdependence of MXEs and the low number of realized amino acids in the genetic code. Combinatorial complexity and its restriction are discussed with respect to other biological systems to further substantiate the hypotheses
Bioinformatics approach for microRNA target prediction and functional analysis by Emmanouil Maragkakis( )

3 editions published in 2011 in English and held by 12 WorldCat member libraries worldwide

MicroRNAs are small endogenous RNA molecules that play a key role in development and diseases through post-transcriptional regulation of gene expression. In this work the microRNA target prediction is addressed by the implementation of two major releases of the DIANA-microT program and by the development of a novel alignment algorithm based on probabilistic models. A combined computational and experimental approach for assessing viral microRNA targeting against host genes has also been performed. Additionally, microRNA function is examined by the development of two programs, one for the identification of microRNAs involved in the differential expression of genes and a second one for the assessment of microRNA involvement in biological pathways. A Web server which serves as an interface between bioinformatics tools and researchers and offers unique information regarding microRNA function has also been developed
Computational analysis of transcriptomic, phylotranscriptomic, and metabolomic diversity by Alexander Gabel( )

2 editions published in 2021 in English and held by 4 WorldCat member libraries worldwide

Transkriptomik, Metabolomik, Entwicklungsbiologie, Evolutionsbiologie, lange nicht-codierende RNA, zirkuläre RNA
A Detailed Analysis of the BR1 Locus Suggests a New Mechanism for Bolting after Winter in Sugar Beet (Beta vulgaris L.) by Conny Tränkner( )

2 editions published between 2016 and 2019 in English and held by 3 WorldCat member libraries worldwide

Multivariate statistical methods to analyse multidimensional data in applied life science : [kumulative Dissertation] by Diana Trutschel( )

2 editions published in 2019 in English and held by 3 WorldCat member libraries worldwide

Applied life sciences require computational methods, especially, since the complexity of data has grown. For data analysis carefully designed studies and appropriate methods are important to make conclusions on basis of valid results. User-friendly applications to make difficult methods available for practitioners are essential. In this thesis the focus is on a methodological point of view as well as showing the application of provided methods in analysing data of real studies. The challenges are shown within two applied life sciences: metabolomics, a key discipline in system biology, and Nursing science as one part of health care. Both scientific fields have their own research questions with different aims. But no matter how different the research question and apparent data characteristics are, patterns within solutions reoccur and often requires multivariate methods for the data analysis
German Conference on Bioinformatics 2009 28th to 30th September 2009 Martin Luther University Halle-Wittenberg, Germany by German Conference on Bioinformatics( )

2 editions published in 2009 in English and held by 3 WorldCat member libraries worldwide

Adaptation of iCLIP to plants determines the binding landscape of the clock-regulated RNA-binding protein AtGRP7 by Katja Meyer( )

1 edition published in 2017 in English and held by 2 WorldCat member libraries worldwide

Combining phylogenetic footprinting with motif models incorporating intra-motif dependencies by Martin Nettling( )

1 edition published in 2017 in English and held by 2 WorldCat member libraries worldwide

Unity in defence: honeybee workers exhibit conserved molecular responses to diverse pathogens by Vincent Doublet( )

2 editions published in 2017 in English and held by 2 WorldCat member libraries worldwide

RNA-Seq analysis of soft rush (Juncus effusus): transcriptome sequencing, de novo assembly, annotation, and polymorphism identification by Muhammad Arslan( )

1 edition published in 2019 in English and held by 2 WorldCat member libraries worldwide

Computational Mass Spectrometry in Metabolomics by Steffen Neumann( Book )

2 editions published in 2021 in English and held by 2 WorldCat member libraries worldwide

Unter Metabolomics versteht man Forschung an kleinen Molekülen z.B. in der Biologie mit dem Ziel, die Funktion von Stoffwechselprodukten (Metabolite) in biologischen Systemen zu beschreiben. Massenspektrometrie ist dabei eine Schlüsseltechnologie für die Messung der Metabolite. Durch den immensen technologischen Fortschritt in den letzten Jahren haben Menge und Komplexität der erzeugten Daten rasant zugenommen. Die Aufgabe der rechnergestützten Metabolomik ist es, Software und Datenbanken für Management und Analyse der Daten zu entwickeln. Diese Arbeit beschreibt verschiedene Schritte einer typischen Analysepipeline von der Verarbeitung der Messungen und Kombination mehrerer Peaklisten aus verschiedenen Proben, mit dem Ziel, eine Datenmatrix zu erstellen. Die statistische Analyse solcher Matrizen hat dann das Ziel, interessante Metaboliten aufzudecken. Für deren biochemische Interpretation müssen die Metabolite identifiziert werden, einschließlich ihrer Molekularstrukturen. Tandem-Massenspektren können dabei als Fingerabdruck der Moleküle genutzt und gegen Datenbanken mit Spektren bekannter Verbindungen verglichen werden. Informatische Ansätze ermöglichen die Identifizierung über Spektraldatenbanken hinaus. Diese Fortschritte in der rechnergestützten Metabolomik haben stark von der Entwicklung offener Datenformate und Repositorien profitiert, die die Grundlage der FAIR Prinzipien sind. Wenngleich rechnergestützte Analysen die einzelnen Aufgaben wesentlich schneller erledigen als eine manuelle Interpretation, so geht der Nutzen über die reine Beschleunigung dieser Aufgaben hinaus. Die Effizienzsteigerung erlaubt die Bearbeitung gänzlich neuer, bis dato zu komplexer Analysen. Diese Herausforderungen treiben auch die Entwicklungen in der Informatik voran, von Datenbanken für die ständig wachsenden Datenmengen über effizientere Algorithmen bis hin zu Visualisierungen großer (biologischer) Netzwerke
Prediction of regulatory targets of alternative isoforms of the epidermal growth factor receptor in a glioblastoma cell line by Claus Weinholdt( )

1 edition published in 2019 in English and held by 2 WorldCat member libraries worldwide

 
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Grosse, Ivo 1969-

Languages
English (36)

German (1)