Ivo Hofacker

Prof. Ivo Hofacker

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Research Focus & Metrics

Academic Career Length

37Years (1990-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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24 November 2011 in Algorithms for Molecular Biology
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RLRonny Lorenz
Ronny Lorenz
SBStephan H Bernhart
Stephan H Bernhart
CSChristian Höner zu Siederdissen
Christian Höner zu Siederdissen
HTHakim Tafer
Hakim Tafer
CFChristoph Flamm
Christoph Flamm
IHIvo Hofacker
Ivo Hofacker
Secondary structure forms an important intermediate level of description of nucleic acids that encapsulates the dominating part of the folding energy, is often well conserved in evolution, and is routinely used as a basis to explain experimental findings. Based on carefully measured thermodynamic parameters, exact dynamic programming algorithms can be used to compute ground states, base pairing probabilities, as well as thermodynamic properties.

19 April 2008 in Nucleic Acids Research
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Journal Article
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AGAndreas R. Gruber
Andreas R. Gruber
RLRonny Lorenz
Ronny Lorenz
SBStephan H. Bernhart
Stephan H. Bernhart
RNRichard Neuböck
Richard Neuböck
IHIvo Hofacker
Ivo Hofacker
The Vienna RNA Websuite is a comprehensive collection of tools for folding, design and analysis of RNA sequences. It provides a web interface to the most commonly used programs of the Vienna RNA package. Among them, we find folding of single and aligned sequences, prediction of RNA–RNA interactions, and design of sequences with a given structure. Additionally, we provide analysis of folding landscapes using the barriers program and structural RNA alignments using LocARNA. The web server together with software packages for download is freely accessible at http://rna.tbi.univie.ac.at/ .

8 June 2007 in Science
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PKPhilipp Kapranov
Philipp Kapranov
JCJill Cheng
Jill Cheng
SDSujit Dike
Sujit Dike
DNDavid A. Nix
David A. Nix
RDRadharani Duttagupta
Radharani Duttagupta
TGThomas R. Gingeras
Thomas R. Gingeras
Significant fractions of eukaryotic genomes give rise to RNA, much of which is unannotated and has reduced protein-coding potential. The genomic origins and the associations of human nuclear and cytosolic polyadenylated RNAs longer than 200 nucleotides (nt) and whole-cell RNAs less than 200 nt were investigated in this genome-wide study. Subcellular addresses for nucleotides present in detected RNAs were assigned, and their potential processing into short RNAs was investigated. Taken together, these observations suggest a novel role for some unannotated RNAs as primary transcripts for the production of short RNAs. Three potentially functional classes of RNAs have been identified, two of which are syntenically conserved and correlate with the expression state of protein-coding genes. These data support a highly interleaved organization of the human transcriptome.

1 July 2003 in Nucleic Acids Research
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IHIvo Hofacker
Ivo Hofacker
The Vienna RNA secondary structure server provides a web interface to the most frequently used functions of the Vienna RNA software package for the analysis of RNA secondary structures. It currently offers prediction of secondary structure from a single sequence, prediction of the consensus secondary structure for a set of aligned sequences and the design of sequences that will fold into a predefined structure. All three services can be accessed via the Vienna RNA web server at http://rna.tbi.univie.ac.at/.

1 February 1994 in Monatshefte für Chemie - Chemical Monthly
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IHIvo Hofacker
Ivo Hofacker
WFW. Fontana
W. Fontana
Peter F. StadlerPeter F. Stadler
Peter F. Stadler
LBL. S. Bonhoeffer
L. S. Bonhoeffer
MTM. Tacker
M. Tacker
PSP. Schuster
P. Schuster

22 March 1994 in Proceedings Of The Royal Society B-Biological Sciences
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Journal Article
Closed access
PSP Schuster
P Schuster
WFW Fontana
W Fontana
Peter F. StadlerPeter F. Stadler
Peter F. Stadler
IHIvo Hofacker
Ivo Hofacker
RNA folding is viewed here as a map assigning secondary structures to sequences. At fixed chain length the number of sequences far exceeds the number of structures. Frequencies of structures are highly non-uniform and follow a generalized form of Zipf's law: we find relatively few common and many rare ones. By using an algorithm for inverse folding, we show that sequences sharing the same structure are distributed randomly over sequence space. All common structures can be accessed from an arbitrary sequence by a number of mutations much smaller than the chain length. The sequence space is percolated by extensive neutral networks connecting nearest neighbours folding into identical structures. Implications for evolutionary adaptation and for applied molecular evolution are evident: finding a particular structure by mutation and selection is much simpler than expected and, even if catalytic activity should turn out to be sparse of RNA structures, it can hardly be missed by evolutionary processes.