Search Results - "Harmanci, Arif Ozgun"

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  1. 1
    Evaluation of vicinity-based hidden Markov models for genotype imputation

    Evaluation of vicinity-based hidden Markov models for genotype imputation by Wang, Su, Kim, Miran, Jiang, Xiaoqian, Harmanci, Arif Ozgun

    Published in BMC bioinformatics (29-08-2022)
    “…The decreasing cost of DNA sequencing has led to a great increase in our knowledge about genetic variation. While population-scale projects bring important…”
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  2. 2
    Efficient pairwise RNA structure prediction using probabilistic alignment constraints in Dynalign

    Efficient pairwise RNA structure prediction using probabilistic alignment constraints in Dynalign by Harmanci, Arif Ozgun, Sharma, Gaurav, Mathews, David H

    Published in BMC bioinformatics (19-04-2007)
    “…Joint alignment and secondary structure prediction of two RNA sequences can significantly improve the accuracy of the structural predictions. Methods…”
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  3. 3
    PARTS: Probabilistic Alignment for RNA joinT Secondary structure prediction

    PARTS: Probabilistic Alignment for RNA joinT Secondary structure prediction by Harmanci, Arif Ozgun, Sharma, Gaurav, Mathews, David H.

    Published in Nucleic acids research (01-04-2008)
    “…A novel method is presented for joint prediction of alignment and common secondary structures of two RNA sequences. The joint consideration of common secondary…”
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  4. 4
    Stochastic sampling of the RNA structural alignment space

    Stochastic sampling of the RNA structural alignment space by Harmanci, Arif Ozgun, Sharma, Gaurav, Mathews, David H

    Published in Nucleic acids research (01-07-2009)
    “…A novel method is presented for predicting the common secondary structures and alignment of two homologous RNA sequences by sampling the 'structural alignment'…”
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  5. 5
    Ultrafast homomorphic encryption models enable secure outsourcing of genotype imputation

    Ultrafast homomorphic encryption models enable secure outsourcing of genotype imputation by Kim, Miran, Harmanci, Arif Ozgun, Bossuat, Jean-Philippe, Carpov, Sergiu, Cheon, Jung Hee, Chillotti, Ilaria, Cho, Wonhee, Froelicher, David, Gama, Nicolas, Georgieva, Mariya, Hong, Seungwan, Hubaux, Jean-Pierre, Kim, Duhyeong, Lauter, Kristin, Ma, Yiping, Ohno-Machado, Lucila, Sofia, Heidi, Son, Yongha, Song, Yongsoo, Troncoso-Pastoriza, Juan, Jiang, Xiaoqian

    Published in Cell systems (17-11-2021)
    “…Genotype imputation is a fundamental step in genomic data analysis, where missing variant genotypes are predicted using the existing genotypes of nearby "tag"…”
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  6. 6
    Probabilistic computational methods for structural alignment of RNA sequences

    Probabilistic computational methods for structural alignment of RNA sequences by Harmanci, Arif Ozgun

    Published 01-01-2010
    “…In this thesis, the problem of structural alignment of homologous RNA sequences is addressed. The structural alignment of a given set of RNA sequences is a…”
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    Dissertation
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  7. 7
    Probabilistic computational methods for structural alignment of RNA sequences

    Probabilistic computational methods for structural alignment of RNA sequences by Harmanci, Arif Ozgun

    “…In this thesis, the problem of structural alignment of homologous RNA sequences is addressed. The structural alignment of a given set of RNA sequences is a…”
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    Dissertation
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  8. 8
    Joint stochastic sampling for RNA secondary structure prediction

    Joint stochastic sampling for RNA secondary structure prediction by Harmanci, A.O., Sharma, G., Mathews, D.H.

    “…We present a novel method for prediction of common structures and alignment for two homologous RNA sequences. The method, termed joint sampling, is based on…”
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