HHF2/YNL030W Literature Guide Help

Other names published for HHF2: YNL030W

HHF2 - Computational analysis (25)

ReferenceOther Genes Addressed
Zou Y, et al.  (2012) Histone modification pattern evolution after yeast gene duplication. BMC Evol Biol 12(1):111
Cui XJ, et al.  (2011) Combinatorial patterns of histone modifications in Saccharomyces cerevisiae. Yeast 28(9):683-91
Dong D, et al.  (2011) Differential effects of chromatin regulators and transcription factors on gene regulation: a nucleosomal perspective. Bioinformatics 27(2):147-52
Knutson BA and Hahn S  (2011) Domains of Tra1 Important for Activator Recruitment and Transcription Coactivator Functions of SAGA and NuA4 Complexes. Mol Cell Biol 31(4):818-831
Radman-Livaja M, et al.  (2011) Patterns and mechanisms of ancestral histone protein inheritance in budding yeast. PLoS Biol 9(6):e1001075
Feng J, et al.  (2010) New insights into two distinct nucleosome distributions: comparison of cross-platform positioning datasets in the yeast genome. BMC Genomics 11():33
Mukhopadhyay S, et al.  (2010) Locus dependence in epigenetic chromatin silencing. Biosystems 102(1):49-54
Ogawa R, et al.  (2010) Computational prediction of nucleosome positioning by calculating the relative fragment frequency index of nucleosomal sequences. FEBS Lett 584(8):1498-502
On T, et al.  (2010) The evolutionary landscape of the chromatin modification machinery reveals lineage specific gains, expansions, and losses. Proteins 78(9):2075-89
Tanaka Y, et al.  (2010) Positional variations among heterogeneous nucleosome maps give dynamical information on chromatin. Chromosoma 119(4):391-404
Wang J, et al.  (2010) Identifying the combinatorial effects of histone modifications by association rule mining in yeast. Evol Bioinform Online 6():113-31
Choi JK and Kim YJ  (2009) Implications of the nucleosome code in regulatory variation, adaptation and evolution. Epigenetics 4(5):291-5
Dai Z, et al.  (2009) Genome-wide analysis of interactions between ATP-dependent chromatin remodeling and histone modifications. BMC Genomics 10:304
Gopalacharyulu PV, et al.  (2009) Dynamic network topology changes in functional modules predict responses to oxidative stress in yeast. Mol Biosyst 5(3):276-87
Marino-Ramirez L, et al.  (2009) Identification of cis-Regulatory Elements in Gene Co-expression Networks Using A-GLAM. Methods Mol Biol 541:1-20
Ponomarev SY, et al.  (2009) Relaxation dynamics of nucleosomal DNA. Phys Chem Chem Phys 11(45):10633-43
Raveh-Sadka T, et al.  (2009) Incorporating nucleosomes into thermodynamic models of transcription regulation. Genome Res 19(8):1480-96
Scipioni A, et al.  (2009) A statistical thermodynamic approach for predicting the sequence-dependent nucleosome positioning along genomes. Biopolymers 91(12):1143-53
Peckham HE, et al.  (2007) Nucleosome positioning signals in genomic DNA. Genome Res 17(8):1170-7
Ramaswamy A and Ioshikhes I  (2007) Global dynamics of newly constructed oligonucleosomes of conventional and variant H2A.Z histone. BMC Struct Biol 7():76
Rowicka M, et al.  (2007) High-resolution timing of cell cycle-regulated gene expression. Proc Natl Acad Sci U S A 104(43):16892-7
Guo X, et al.  (2006) Histone acetylation and transcriptional regulation in the genome of Saccharomyces cerevisiae. Bioinformatics 22(4):392-9
Wu WS, et al.  (2006) Computational reconstruction of transcriptional regulatory modules of the yeast cell cycle. BMC Bioinformatics 7(1):421
Yuan GC, et al.  (2006) Statistical assessment of the global regulatory role of histone acetylation in Saccharomyces cerevisiae. Genome Biol 7(8):R70
Syeda-Mahmood T  (2003) Clustering time-varying gene expression profiles using scale-space signals. Proc IEEE Comput Soc Bioinform Conf 2():48-56