scispace - formally typeset
C

Carlos Bustamante

Researcher at Stanford University

Publications -  799
Citations -  122303

Carlos Bustamante is an academic researcher from Stanford University. The author has contributed to research in topics: Population & DNA. The author has an hindex of 161, co-authored 770 publications receiving 106053 citations. Previous affiliations of Carlos Bustamante include Lawrence Berkeley National Laboratory & University of California.

Papers
More filters
Journal ArticleDOI

Identification of the FtsK sequence-recognition domain

TL;DR: In vitro single-molecule and ensemble methods are used to unveil a mechanism of action in which the translocation and sequence-recognition activities are performed by different domains in FtsK.
Journal ArticleDOI

Visualizing RNA extrusion and DNA wrapping in transcription elongation complexes of bacterial and eukaryotic RNA polymerases.

TL;DR: In this article, E.coli RNAP elongation complexes reveal an average DNA compaction of 22nm and a DNA deformation compatible with approximately 180 degrees DNA wrapping against the enzyme, suggesting a possible mechanism by which the polymerase may overcome the physical barrier to transcription imposed by the nucleosomes.
Journal ArticleDOI

Bayesian estimates of free energies from nonequilibrium work data in the presence of instrument noise

TL;DR: A Bayesian formalism for estimating free energy changes from nonequilibrium work measurements that compensates for instrument noise and combines data from multiple driving protocols is presented.
Journal ArticleDOI

Towards a molecular description of pulsed-field gel electrophoresis

TL;DR: An improved understanding of the molecular processes of migration and reorientation of DNA molecules undergoing conventional and pulsed-field gel electrophoresis should provide the basis for the rational optimization of these techniques.
Journal ArticleDOI

A composite-likelihood approach for detecting directional selection from DNA sequence data.

TL;DR: The test has excellent power to detects weak negative selection and moderate power to detect positive selection and is quite robust to bias in the estimate of local recombination rate, but not to certain demographic scenarios such as population growth or a recent bottleneck.