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Andreas S. Richter
Researcher at Max Planck Society
Publications - 26
Citations - 6686
Andreas S. Richter is an academic researcher from Max Planck Society. The author has contributed to research in topics: RNA & Small RNA. The author has an hindex of 19, co-authored 26 publications receiving 4580 citations. Previous affiliations of Andreas S. Richter include University of Freiburg & University of Kiel.
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deepTools2: a next generation web server for deep-sequencing data analysis
Fidel Ramírez,Devon Ryan,Björn Grüning,Vivek Bhardwaj,Fabian Kilpert,Andreas S. Richter,Steffen Heyne,Friederike Dündar,Thomas Manke +8 more
TL;DR: An update to the Galaxy-based web server deepTools, which allows users to perform complete bioinformatic workflows ranging from quality controls and normalizations of aligned reads to integrative analyses, including clustering and visualization approaches, is presented.
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IntaRNA: efficient prediction of bacterial sRNA targets incorporating target site accessibility and seed regions
TL;DR: INTARNA, a new general and fast approach to the prediction of RNA–RNA interactions incorporating accessibility of target sites as well as the existence of a user-definable seed, is introduced.
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CopraRNA and IntaRNA: predicting small RNA targets, networks and interaction domains
Patrick R. Wright,Jens Georg,Martin Mann,Dragos Alexandru Sorescu,Andreas S. Richter,Steffen C. Lott,Robert Kleinkauf,Wolfgang R. Hess,Rolf Backofen +8 more
TL;DR: The functionality of the CopraRNA and IntaRNA webservers are introduced and detailed explanations on their postprocessing functionalities are given.
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Freiburg RNA Tools: a web server integrating IntaRNA, ExpaRNA and LocARNA
TL;DR: The Freiburg RNA tools web server integrates three tools for the advanced analysis of RNA in a common web-based user interface that support the prediction of RNA–RNA interaction, exact RNA matching and alignment of RNA, respectively.
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Comparative genomics boosts target prediction for bacterial small RNAs
Patrick R. Wright,Andreas S. Richter,Kai Papenfort,Kai Papenfort,Martin Mann,Jörg Vogel,Wolfgang R. Hess,Rolf Backofen,Jens Georg +8 more
TL;DR: The verification of many previously undetected targets by Copra RNA, even for extensively investigated sRNAs, demonstrates its advantages and shows that CopraRNA-based analyses can compete with experimental target prediction approaches.