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Susan K. Dutcher

Researcher at Washington University in St. Louis

Publications -  137
Citations -  13493

Susan K. Dutcher is an academic researcher from Washington University in St. Louis. The author has contributed to research in topics: Chlamydomonas & Chlamydomonas reinhardtii. The author has an hindex of 47, co-authored 123 publications receiving 10803 citations. Previous affiliations of Susan K. Dutcher include University of Colorado Boulder & University of Utah.

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The Chlamydomonas Genome Reveals the Evolution of Key Animal and Plant Functions

Sabeeha S. Merchant, +118 more
- 12 Oct 2007 - 
TL;DR: Analyses of the Chlamydomonas genome advance the understanding of the ancestral eukaryotic cell, reveal previously unknown genes associated with photosynthetic and flagellar functions, and establish links between ciliopathy and the composition and function of flagella.
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The Physcomitrella Genome Reveals Evolutionary Insights into the Conquest of Land by Plants

Stefan A. Rensing, +77 more
- 04 Jan 2008 - 
TL;DR: This comparison reveals genomic changes concomitant with the evolutionary movement to land, including a general increase in gene family complexity; loss of genes associated with aquatic environments; acquisition of genes for tolerating terrestrial stresses; and the development of the auxin and abscisic acid signaling pathways for coordinating multicellular growth and dehydration response.
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Sequencing of 53,831 diverse genomes from the NHLBI TOPMed Program.

Daniel Taliun, +205 more
- 10 Feb 2021 - 
TL;DR: The Trans-Omics for Precision Medicine (TOPMed) project as discussed by the authors aims to elucidate the genetic architecture and biology of heart, lung, blood and sleep disorders, with the ultimate goal of improving diagnosis, treatment and prevention of these diseases.
Posted ContentDOI

Sequencing of 53,831 diverse genomes from the NHLBI TOPMed Program

Daniel Taliun, +194 more
- 06 Mar 2019 - 
TL;DR: The nearly complete catalog of genetic variation in TOPMed studies provides unique opportunities for exploring the contributions of rare and non-coding sequence variants to phenotypic variation as well as resources and early insights from the sequence data.