دورية أكاديمية

Differential transcriptional responses to Ebola and Marburg virus infection in bat and human cells

التفاصيل البيبلوغرافية
العنوان: Differential transcriptional responses to Ebola and Marburg virus infection in bat and human cells
المؤلفون: Martin Hölzer (RNA Bioinformatics and High Throughput Analysis, Faculty of Mathematics and Computer Science, Friedrich Schiller University Jena), Verena Krähling (Institute of Virology, Philipps University Marburg), Fabian Amman (Bioinformatics Group, Department of Computer Science, University of Leipzig), Emanuel Barth (RNA Bioinformatics and High Throughput Analysis, Faculty of Mathematics and Computer Science, Friedrich Schiller University Jena), Stephan H. Bernhart (Transcriptome Bioinformatics, Junior Research Group, Leipzig Research Center for Civilization Diseases, University of Leipzig), Victor A. O. Carmelo (Center for non-coding RNA in Technology and Health, University of Copenhagen), Maximilian Collatz (RNA Bioinformatics and High Throughput Analysis, Faculty of Mathematics and Computer Science, Friedrich Schiller University Jena), Gero Doose (Transcriptome Bioinformatics, Junior Research Group, Leipzig Research Center for Civilization Diseases, University of Leipzig), Florian Eggenhofer (Department of Theoretical Chemistry, Faculty of Chemistry, University of Vienna), Jan Ewald (Research Group Theoretical Systems Biology, Department of Bioinformatics, Friedrich Schiller University Jena), Jörg Fallmann (Bioinformatics Group, Department of Computer Science, University of Leipzig), Lasse M. Feldhahn (Institute of Computer Science, Martin-Luther University Halle-Wittenberg), Markus Fricke (RNA Bioinformatics and High Throughput Analysis, Faculty of Mathematics and Computer Science, Friedrich Schiller University Jena), Juliane Gebauer (Research Group Theoretical Systems Biology, Department of Bioinformatics, Friedrich Schiller University Jena), Andreas J. Gruber (Biozentrum, University of Basel), Franziska Hufsky (RNA Bioinformatics and High Throughput Analysis, Faculty of Mathematics and Computer Science, Friedrich Schiller University Jena), Henrike Indrischek (Bioinformatics Group, Department of Computer Science, University of Leipzig), Sabina Kanton (TFome Research Group, Bioinformatics Group, Interdisciplinary Center of Bioinformatics, Department of Computer Science, University of Leipzig), Jörg Linde (Leibniz Institute for Natural Product Research and Infection Biology), Nelly Mostajo (RNA Bioinformatics and High Throughput Analysis, Faculty of Mathematics and Computer Science, Friedrich Schiller University Jena), Roman Ochsenreiter (Department of Theoretical Chemistry, Faculty of Chemistry, University of Vienna), Konstantin Riege (RNA Bioinformatics and High Throughput Analysis, Faculty of Mathematics and Computer Science, Friedrich Schiller University Jena), Lorena Rivarola-Duarte (Bioinformatics Group, Department of Computer Science, University of Leipzig), Abdullah H. Sahyoun (RNA Bioinformatics and High Throughput Analysis, Faculty of Mathematics and Computer Science, Friedrich Schiller University Jena), Sita J. Saunders (Bioinformatics Group, Department of Computer Science, University of Freiburg), Stefan E. Seemann (Center for non-coding RNA in Technology and Health, University of Copenhagen), Andrea Tanzer (Department of Theoretical Chemistry, Faculty of Chemistry, University of Vienna), Bertram Vogel (RNA Bioinformatics and High Throughput Analysis, Faculty of Mathematics and Computer Science, Friedrich Schiller University Jena), Stefanie Wehner (RNA Bioinformatics and High Throughput Analysis, Faculty of Mathematics and Computer Science, Friedrich Schiller University Jena), Michael T. Wolfinger (Department of Theoretical Chemistry, Faculty of Chemistry, University of Vienna), Rolf Backofen (Center for non-coding RNA in Technology and Health, University of Copenhagen), Jan Gorodkin (Center for non-coding RNA in Technology and Health, University of Copenhagen), Ivo Grosse (Institute of Computer Science, Martin-Luther University Halle-Wittenberg), Ivo Hofacker (Department of Theoretical Chemistry, Faculty of Chemistry, University of Vienna), Steve Hoffmann (Transcriptome Bioinformatics, Junior Research Group, Leipzig Research Center for Civilization Diseases, University of Leipzig), Christoph Kaleta (Research Group Medical Systems Biology, Institute for Experimental Medicine, Christian-Albrechts-University Kiel), Peter F. Stadler (Bioinformatics Group, Department of Computer Science, University of Leipzig), Stephan Becker (Institute of Virology, Philipps University Marburg), Manja Marz (RNA Bioinformatics and High Throughput Analysis, Faculty of Mathematics and Computer Science, Friedrich Schiller University Jena)
المصدر: Scientific Reports
بيانات النشر: Springer Nature
سنة النشر: 2016
المجموعة: University of Vienna: Phaidra
مصطلحات موضوعية: Bioinformatics, Gene expression analysis, High-throughput screening, Viral infection
الوصف: The abstract is available here: https://uscholar.univie.ac.at/o:561344Test
نوع الوثيقة: text
وصف الملف: application/pdf
اللغة: English
العلاقة: isPartOf:https://phaidra.univie.ac.at/o:243553Test[u:scholar collection]; hdl:11353/10.561344; https://phaidra.univie.ac.at/o:561344Test
DOI: 10.1038/srep34589
الإتاحة: https://doi.org/10.1038/srep34589Test
https://phaidra.univie.ac.at/o:561344Test
حقوق: http://creativecommons.org/licenses/by/4.0Test/
رقم الانضمام: edsbas.97AC33A6
قاعدة البيانات: BASE