Introduction to Single-Molecule Analysis and Computation: The Focus Project

Novel Approaches for Single Molecule Activation and Detection - Advances in Atom and Single Molecule Machines ◽

10.1007/978-3-662-43367-6_1 ◽

2014 ◽

pp. 1-6

Author(s):

Monica Mazzolini ◽

Vincent Torre

Keyword(s):

Single Molecule ◽

Single Molecule Analysis

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Single-molecule analysis of peroxisome proliferator-activated receptor [gamma]2 and [alpha] reveal subtype specific differences in chromatin binding dynamics

Endocrine Abstracts ◽

10.1530/endoabs.54.p1 ◽

2018 ◽

Author(s):

Rikke AM Jensen ◽

Ville Paakinaho ◽

Diego M Presman ◽

Erin E Swinstead ◽

R Louis Schiltz ◽

...

Keyword(s):

Single Molecule ◽

Peroxisome Proliferator ◽

Chromatin Binding ◽

Peroxisome Proliferator Activated Receptor ◽

Single Molecule Analysis

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Faculty Opinions recommendation of Single-molecule analysis of chemotactic signaling in Dictyostelium cells.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.1001551.37605 ◽

2002 ◽

Author(s):

Gerald Weeks

Keyword(s):

Single Molecule ◽

Single Molecule Analysis

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Faculty Opinions recommendation of Single-molecule analysis reveals clustering and epigenetic regulation of replication origins at the yeast rDNA locus.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.1009494.138307 ◽

2002 ◽

Author(s):

Thomas Nystrom

Keyword(s):

Single Molecule ◽

Epigenetic Regulation ◽

Rdna Locus ◽

Replication Origins ◽

Single Molecule Analysis

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Faculty Opinions recommendation of Single molecule analysis of RNA polymerase elongation reveals uniform kinetic behavior.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.1009694.139508 ◽

2002 ◽

Author(s):

Daniel Reines

Keyword(s):

Rna Polymerase ◽

Single Molecule ◽

Kinetic Behavior ◽

Single Molecule Analysis

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Faculty Opinions recommendation of Single-molecule analysis of cadherin-mediated cell-cell adhesion.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.1029954.349423 ◽

2005 ◽

Author(s):

Deborah Leckband

Keyword(s):

Cell Adhesion ◽

Single Molecule ◽

Single Molecule Analysis ◽

Cell Cell

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Faculty Opinions recommendation of Single-molecule analysis reveals that the lagging strand increases replisome processivity but slows replication fork progression.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.1163864.628373 ◽

2009 ◽

Author(s):

Nick Rhind

Keyword(s):

Single Molecule ◽

Replication Fork ◽

Replication Fork Progression ◽

Single Molecule Analysis ◽

Lagging Strand

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Faculty Opinions recommendation of Single-molecule analysis reveals that the lagging strand increases replisome processivity but slows replication fork progression.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.1163864.625689 ◽

2009 ◽

Author(s):

William Holloman

Keyword(s):

Single Molecule ◽

Replication Fork ◽

Replication Fork Progression ◽

Single Molecule Analysis ◽

Lagging Strand

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Faculty Opinions recommendation of Single-molecule analysis of gene expression using two-color RNA labeling in live yeast.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.717974583.793472027 ◽

2013 ◽

Author(s):

Rosemary Clyne

Keyword(s):

Gene Expression ◽

Single Molecule ◽

Rna Labeling ◽

Single Molecule Analysis ◽

Live Yeast

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Faculty Opinions recommendation of Single-molecule analysis of fluorescently labeled G-protein-coupled receptors reveals complexes with distinct dynamics and organization.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.718070591.793494420 ◽

2014 ◽

Author(s):

Jianfeng Liu ◽

Chanjuan Xu

Keyword(s):

G Protein ◽

Single Molecule ◽

G Protein Coupled Receptors ◽

Single Molecule Analysis ◽

G Protein Coupled

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Faculty Opinions recommendation of Single-molecule analysis of combinatorial epigenomic states in normal and tumor cells.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.718061762.793481803 ◽

2013 ◽

Author(s):

Kevin Sweder

Keyword(s):

Tumor Cells ◽

Single Molecule ◽

Single Molecule Analysis

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