3 Works

Data from: A new versatile primer set targeting a short fragment of the mitochondrial COI region for metabarcoding metazoan diversity: application for characterizing coral reef fish gut contents

Matthieu Leray, Joy Y. Yang, Christopher P. Meyer, Suzanne C. Mills, Natalia Agudelo, Ranwez Vincent, Joel T. Boehm & Ryuji J. Machida
Introduction: The PCR-based analysis of homologous genes has become one of the most powerful approaches for species detection and identification, particularly with the recent availability of Next Generation Sequencing platforms (NGS) making it possible to identify species composition from a broad range of environmental samples. Identifying species from these samples relies on the ability to match sequences with reference barcodes for taxonomic identification. Unfortunately, most studies of environmental samples have targeted ribosomal markers, despite the...

Data from: From cellular characteristics to disease diagnosis: uncovering phenotypes with supercells

Julián Candia, Ryan Maunu, Meghan Driscoll, Angélique Biancotto, Pradeep Dagur, , H. Nida Sen, Lai Wei, Amos Maritan, Kan Cao, Robert B. Nussenblatt, Jayanth R. Banavar, Wolfgang Losert & J. Philip McCoy
Cell heterogeneity and the inherent complexity due to the interplay of multiple molecular processes within the cell pose difficult challenges for current single-cell biology. We introduce an approach that identifies a disease phenotype from multiparameter single-cell measurements, which is based on the concept of “supercell statistics”, a single-cell-based averaging procedure followed by a machine learning classification scheme. We are able to assess the optimal tradeoff between the number of single cells averaged and the number...

Data from: Aggressive chemotherapy and the selection of drug resistant pathogens

Silvie Huijben, Andrew S. Bell, Derek G. Sim, Danielle Tomasello, Nicole Mideo, Troy Day & Andrew F. Read
Drug resistant pathogens are one of the key public health challenges of the 21st century. There is a widespread belief that resistance is best managed by using drugs to rapidly eliminate target pathogens from patients so as to minimize the probability that pathogens acquire resistance de novo. Yet strong drug pressure imposes intense selection in favor of resistance through alleviation of competition with wild-type populations. Aggressive chemotherapy thus generates opposing evolutionary forces which together determine...

Registration Year

  • 2013
    3

Resource Types

  • Dataset
    3

Affiliations

  • National Institutes of Health
    3
  • National Museum of Natural History
    1
  • City College of New York
    1
  • Queen's University
    1
  • Montpellier SupAgro
    1
  • Biodiversity Research Center, Academia Sinica
    1
  • University of Maryland, College Park
    1
  • Pennsylvania State University
    1