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Recent "Nucleosomes" articles
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Genome Research 20 (2), (01 Feb 2010)
changes in transcription patterns brought about by overall alterations in the chromatin conformation
Gene expression divergence in yeast is coupled to evolution of DNAencoded nucleosome organization
Nature genetics, published online 01 Mar 2009
Is almost a copy (too bad!) of an older article by Laurence Hurst http://www.ncbi.nlm.nih.gov/pubmed/17660811?itool=EntrezSystem2.PEntrez.Pubmed.Pubmed_ResultsPanel.Pubmed_RVDocSum&ordinalpos=3
Bioinformatics 26 (2), 168 (15 Jan 2010)
Look more into the webserver http://bioinformatics1.smb.wsu.edu/Ceres
BMC Bioinformatics 10 (1), 442 (22 Dec 2009)
Correlating the GC content with nucleosome positioning appears to be the main sequence underlying feature
Nucleic Acids Research 37 (19), (01 Oct 2009)
HIGHRESOLUTION NUCLEOSOME MAPPING REVEALS TRANSCRIPTIONDEPENDENT PROMOTER PACKAGING
Genome Research 20 (1), (21 Oct 2009)
a method for deep-seq analyzing, plus evidence for susceptible to eviction nucleosomes
Posted by christoforosnikolaou and 1 other with 1 comment on Thu Oct 22 2009 at 08:32 UTC | info | related
Cell cycle (Georgetown, Tex.) 8 (20), (25 Oct 2009)
do I need to say told you so?
Nature Structural & Molecular Biology advance online publication (9), 996-1001 (16 Aug 2009)
Posted by christoforosnikolaou (who is an author) and 2 others on Thu Oct 08 2009 at 11:14 UTC | info | related
Nature reviews. Genetics, published online 09 Jun 2009
Complex transcriptional behaviours are encoded in the DNA sequences of gene regulatory regions. Advances in our understanding of these behaviours have been recently gained through quantitative models that describe how molecules such as transcription factors and nucleosomes interact with genomic sequences. An emerging view is that every regulatory sequence is associated with a unique binding affinity landscape for each molecule and, consequently, with a unique set of molecule-binding configurations and transcriptional outputs. We present a quantitative framework based on existing methods that unifies these ideas. This framework explains many experimental observations regarding the binding patterns of factors and nucleosomes and the dynamics of transcriptional activation. It can also be used to model more complex phenomena such as transcriptional noise and the evolution of transcriptional regulation.
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