Rezultati pretrage - Nicholas M. Luscombe

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  1. 1
    Amino acid-base interactions: a three-dimensional analysis of protein-DNA interactions at an atomic level

    Amino acid-base interactions: a three-dimensional analysis of protein-DNA interactions at an atomic level od Nicholas M. Luscombe

    Izdano 2001
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  2. 2
    NUCPLOT: a program to generate schematic diagrams of protein-nucleic acid interactions

    NUCPLOT: a program to generate schematic diagrams of protein-nucleic acid interactions od Nicholas M. Luscombe

    Izdano 1997
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  3. 3
    A genomic model of condition-specific nucleosome behavior explains transcriptional activity in yeast

    A genomic model of condition-specific nucleosome behavior explains transcriptional activity in yeast od Judith B. Zaugg, Nicholas M. Luscombe

    Izdano 2011
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  4. 4
    What is bioinformatics? An introduction and overview

    What is bioinformatics? An introduction and overview od Nicholas M. Luscombe, Dov Greenbaum, M. Gerstein

    Izdano 2001
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  5. 5
    Generative adversarial networks simulate gene expression and predict perturbations in single cells

    Generative adversarial networks simulate gene expression and predict perturbations in single cells od Arsham Ghahramani, Fiona M. Watt, Nicholas M. Luscombe

    Izdano 2018
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  6. 6
    Protein–RNA interactions: new genomic technologies and perspectives

    Protein–RNA interactions: new genomic technologies and perspectives od Julian König, Kathi Zarnack, Nicholas M. Luscombe, Jernej Ule

    Izdano 2012
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  7. 7
    Genomic landscape of oxidative DNA damage and repair reveals regioselective protection from mutagenesis

    Genomic landscape of oxidative DNA damage and repair reveals regioselective protection from mutagenesis od Anna R. Poetsch, Simon J. Boulton, Nicholas M. Luscombe

    Izdano 2018
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  8. 8
    Comparative genomics of cyclic-di-GMP signalling in bacteria: post-translational regulation and catalytic activity

    Comparative genomics of cyclic-di-GMP signalling in bacteria: post-translational regulation and catalytic activity od Aswin Sai Narain Seshasayee, Gillian M. Fraser, Nicholas M. Luscombe

    Izdano 2010
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  9. 9
    Interrelating Different Types of Genomic Data, from Proteome to Secretome: 'Oming in on Function

    Interrelating Different Types of Genomic Data, from Proteome to Secretome: 'Oming in on Function od Dov Greenbaum, Nicholas M. Luscombe, Ronald Jansen, Jiang Qian, Mark Gerstein

    Izdano 2001
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  10. 10
    Prediction of regulatory networks: genome-wide identification of transcription factor targets from gene expression data

    Prediction of regulatory networks: genome-wide identification of transcription factor targets from gene expression data od Jiang Qian, Jimmy Lin, Nicholas M. Luscombe, Haiyuan Yu, Mark Gerstein

    Izdano 2003
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  11. 11
    The dominance of the population by a selected few: power-law behaviour applies to a wide variety of genomic properties

    The dominance of the population by a selected few: power-law behaviour applies to a wide variety of genomic properties od Nicholas M. Luscombe, Jiang Qian, Zhaolei Zhang, Ted Johnson, Mark Gerstein

    Izdano 2002
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  12. 12
    What is AI? Applications of artificial intelligence to dermatology

    What is AI? Applications of artificial intelligence to dermatology od Xinyi Du-Harpur, Fiona M. Watt, Nicholas M. Luscombe, Magnus Lynch

    Izdano 2020
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  13. 13
    An overview of the structures of protein-DNA complexes.

    An overview of the structures of protein-DNA complexes. od Nicholas M. Luscombe, Susan E Austin, Helen M. Berman, Janet M. Thornton

    Izdano 2000
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  14. 14
    Data Science Issues in Studying Protein–RNA Interactions with CLIP Technologies

    Data Science Issues in Studying Protein–RNA Interactions with CLIP Technologies od Anob M. Chakrabarti, Nejc Haberman, Arne Praznik, Nicholas M. Luscombe, Jernej Ule

    Izdano 2018
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  15. 15
    Comprehensive reanalysis of transcription factor knockout expression data in Saccharomyces cerevisiae reveals many new targets

    Comprehensive reanalysis of transcription factor knockout expression data in Saccharomyces cerevisiae reveals many new targets od Jüri Reimand, Juan M. Vaquerizas, Annabel E. Todd, Jaak Vilo, Nicholas M. Luscombe

    Izdano 2010
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  16. 16
    Principles of transcriptional regulation and evolution of the metabolic system in <i>E. coli</i>

    Principles of transcriptional regulation and evolution of the metabolic system in <i>E. coli</i> od Aswin Sai Narain Seshasayee, Gillian M. Fraser, M. Madan Babu, Nicholas M. Luscombe

    Izdano 2008
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  17. 17
    Nuclear Pore Proteins Nup153 and Megator Define Transcriptionally Active Regions in the Drosophila Genome

    Nuclear Pore Proteins Nup153 and Megator Define Transcriptionally Active Regions in the Drosophila Genome od Juan M. Vaquerizas, Ritsuko Suyama, Jop Kind, Kota Miura, Nicholas M. Luscombe, Asifa Akhtar

    Izdano 2010
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  18. 18
    <i>Drosophila</i>Dosage Compensation Involves Enhanced Pol II Recruitment to Male X-Linked Promoters

    <i>Drosophila</i>Dosage Compensation Involves Enhanced Pol II Recruitment to Male X-Linked Promoters od Thomas Conrad, Florence M.G. Cavalli, Juan M. Vaquerizas, Nicholas M. Luscombe, Asifa Akhtar

    Izdano 2012
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  19. 19
    Cellular resolution models for even skipped regulation in the entire Drosophila embryo

    Cellular resolution models for even skipped regulation in the entire Drosophila embryo od Garth R Ilsley, Jasmin Fisher, Rolf Apweiler, Angela H. DePace, Nicholas M. Luscombe

    Izdano 2013
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  20. 20
    GATA-1 binding sites mapped in the β-globin locus by using mammalian chIp-chip analysis

    GATA-1 binding sites mapped in the β-globin locus by using mammalian chIp-chip analysis od Christine E. Horak, Milind Mahajan, Nicholas M. Luscombe, Mark Gerstein, Sherman M. Weissman, M Snyder

    Izdano 2002
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