Holger H Hoos
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Explore the profile of Holger H Hoos including associated specialties, affiliations and a list of published articles.
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25
Citations
802
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Recent Articles
11.
Aghaeepour N, Nikolic R, Hoos H, Brinkman R
Cytometry A
. 2010 Dec;
79(1):6-13.
PMID: 21182178
We have developed flowMeans, a time-efficient and accurate method for automated identification of cell populations in flow cytometry (FCM) data based on K-means clustering. Unlike traditional K-means, flowMeans can identify...
12.
Andronescu M, Condon A, Hoos H, Mathews D, Murphy K
RNA
. 2010 Oct;
16(12):2304-18.
PMID: 20940338
Methods for efficient and accurate prediction of RNA structure are increasingly valuable, given the current rapid advances in understanding the diverse functions of RNA molecules in the cell. To enhance...
13.
Andronescu M, Bereg V, Hoos H, Condon A
BMC Bioinformatics
. 2008 Aug;
9:340.
PMID: 18700982
Background: The ability to access, search and analyse secondary structures of a large set of known RNA molecules is very important for deriving improved RNA energy models, for evaluating computational...
14.
Rogic S, Montpetit B, Hoos H, Mackworth A, Ouellette B, Hieter P
BMC Genomics
. 2008 Jul;
9:355.
PMID: 18664289
Background: Secondary structure interactions within introns have been shown to be essential for efficient splicing of several yeast genes. The nature of these base-pairing interactions and their effect on splicing...
15.
Thachuk C, Shmygelska A, Hoos H
BMC Bioinformatics
. 2007 Sep;
8:342.
PMID: 17875212
Background: The ab initio protein folding problem consists of predicting protein tertiary structure from a given amino acid sequence by minimizing an energy function; it is one of the most...
16.
Andronescu M, Condon A, Hoos H, Mathews D, Murphy K
Bioinformatics
. 2007 Jul;
23(13):i19-28.
PMID: 17646296
Motivation: Accurate prediction of RNA secondary structure from the base sequence is an unsolved computational challenge. The accuracy of predictions made by free energy minimization is limited by the quality...
17.
Shmygelska A, Hoos H
BMC Bioinformatics
. 2007 Apr;
8:136.
PMID: 17451609
Background: The problem of protein structure prediction consists of predicting the functional or native structure of a protein given its linear sequence of amino acids. This problem has played a...
18.
Aguirre-Hernandez R, Hoos H, Condon A
BMC Bioinformatics
. 2007 Feb;
8:34.
PMID: 17266771
Background: We investigate the empirical complexity of the RNA secondary structure design problem, that is, the scaling of the typical difficulty of the design task for various classes of RNA...
19.
Shortreed M, Chang S, Hong D, Phillips M, Campion B, Tulpan D, et al.
Nucleic Acids Res
. 2005 Nov;
33(15):4965-77.
PMID: 16284197
An algorithm is presented for the generation of sets of non-interacting DNA sequences, employing existing thermodynamic models for the prediction of duplex stabilities and secondary structures. A DNA 'word' structure...
20.
Ren J, Rastegari B, Condon A, Hoos H
RNA
. 2005 Oct;
11(10):1494-504.
PMID: 16199760
We present HotKnots, a new heuristic algorithm for the prediction of RNA secondary structures including pseudoknots. Based on the simple idea of iteratively forming stable stems, our algorithm explores many...