G
George M. Weinstock
Researcher at Washington University in St. Louis
Publications - 488
Citations - 158810
George M. Weinstock is an academic researcher from Washington University in St. Louis. The author has contributed to research in topics: Genome & Gene. The author has an hindex of 122, co-authored 482 publications receiving 144274 citations. Previous affiliations of George M. Weinstock include University of Texas at Austin & Memorial Sloan Kettering Cancer Center.
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High mobility group (HMG-box) genes in the honeybee fungal pathogen Ascosphaera apis.
TL;DR: The genome of the honeybee fungal pathogen Ascosphaera apis encodes three putative high mobility group (HMG-box) transcription factors, which exhibit high similarity to mating type proteins and STE11-like transcription factors previously identified in other ascomycete fungi.
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Genetics of bacteriophage P22. III. The late operon.
TL;DR: Results obtained by exploiting the orientation-dependent polarity of insertions of the translocatable ampicillin-resistance element Tn1 are consistent with a model of P22 late gene regulation in which the positive activator of the late operon, gene 23 , can act as a selective antagonist of transcription termination.
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High-resolution quantification of hepatitis C virus genome-wide mutation load and its correlation with the outcome of peginterferon-alpha2a and ribavirin combination therapy.
TL;DR: In-depth analyses revealed that intra-patient HCV population structure was shaped by multiple factors, including immune pressure, strain difference and genetic drift, and highlight a dominant role of natural selection in response to therapeutic intervention.
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SfiI genomic cleavage map of Escherichia coli K-12 strain MG1655.
TL;DR: An SfiI restriction map of Escherichia coli K-12 strain MG1655 is presented and can aid in the rapid, precise mapping of several different types of genetic alterations, including transposon mediated mutations and other insertions, inversions, deletions and duplications.
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Dynamic building of a BAC clone tiling path for the Rat Genome Sequencing Project.
TL;DR: A hybrid strategy of "clone by clone" and "whole genome shotgun" approaches was used to maximize the merits of both approaches to select a minimal overlapping clone set covering the whole genome in the Rat Genome Sequencing Project.