H
Howard Ochman
Researcher at University of Texas at Austin
Publications - 184
Citations - 32608
Howard Ochman is an academic researcher from University of Texas at Austin. The author has contributed to research in topics: Genome & Bacterial genome size. The author has an hindex of 79, co-authored 182 publications receiving 30425 citations. Previous affiliations of Howard Ochman include Washington University in St. Louis & University of Connecticut.
Papers
More filters
Journal ArticleDOI
Lateral gene transfer and the nature of bacterial innovation
TL;DR: Unlike eukaryotes, which evolve principally through the modification of existing genetic information, bacteria have obtained a significant proportion of their genetic diversity through the acquisition of sequences from distantly related organisms.
Journal ArticleDOI
Genetic Applications of an Inverse Polymerase Chain Reaction
TL;DR: The feasibility of IPCR is shown by amplifying the sequences that flank an IS1 element in the genome of a natural isolate of Escherichia coli.
Journal ArticleDOI
Sex and virulence in Escherichia coli: an evolutionary perspective
Thierry Wirth,Daniel Falush,Ruiting Lan,Frances M. Colles,Patience Mensa,Lothar H. Wieler,Helge Karch,Peter R. Reeves,Martin C. J. Maiden,Howard Ochman,Mark Achtman +10 more
TL;DR: The evolution of virulence is linked to bacterial sex because rates of evolution have accelerated in pathogenic lineages, culminating in highly virulent organisms whose genomic contents are altered frequently by increased rates of homologous recombination.
Journal ArticleDOI
Methods of multilocus enzyme electrophoresis for bacterial population genetics and systematics
Robert K. Selander,Dominique A. Caugant,Howard Ochman,James M. Musser,Marion N. Gilmour,Thomas S. Whittam +5 more
TL;DR: Methodes d'extraction d'enzymes, d'electrophorese en gel and de coloration specifique des enzymes utilisees pour etudier la variation genetique chez Escherichia coli et d'autres bacteries.
Journal ArticleDOI
Wrinkles in the rare biosphere: pyrosequencing errors can lead to artificial inflation of diversity estimates
TL;DR: In this paper, the authors found that 16S rDNA diversity is grossly overestimated unless relatively stringent read quality filtering and low clustering thresholds are applied, and suggested that stringent quality-based trimming of 16S pyrotags and clustering threshold no greater than 97% identity should be used to avoid overestimates of the rare biosphere.