Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Serita M. Nelesen"'
Autor:
Christiaan D. Hazlett, Joel C. Adams, Javin B. Unger, Serita M. Nelesen, Patrick A. Crain, Elizabeth R. Koning, Christopher P. Dilley, Mark B. Vander Stel
Publikováno v:
Journal of Parallel and Distributed Computing. 118:233-246
Since multicore processors are now the architectural standard and parallel computing is in the core CS curriculum, CS educators must create pedagogical materials and tools to help their students master parallel abstractions and concepts. This paper d
Autor:
Victor T. Norman, Serita M. Nelesen
Publikováno v:
SIGCSE
It is well known that active learning strategies, like Peer Instruction and Cooperative Learning promote deep learning of material in the classroom. These techniques are typically accomplished by having students use cell phones or laptops. However, r
Autor:
Serita M. Nelesen, Mark B. Vander Stel, Christopher P. Dilley, Patrick A. Crain, Javin B. Unger, Joel C. Adams
Publikováno v:
SIGCSE
Multicore processors are now the standard CPU architecture, and parallel and distributed computing (PDC) is in the CS2013 core curriculum [9]. It is now the task of CS educators to begin creating pedagogical materials that will help their students un
Publikováno v:
Bioinformatics (Oxford, England). 32(13)
Summary: PhamDB is a web application which creates databases of bacteriophage genes, grouped by gene similarity. It is backwards compatible with the existing Phamerator desktop software while providing an improved database creation workflow. Key feat
Publikováno v:
Journal of theoretical biology. 399
We present a model of the evolution of protein complexes with novel functions through gene duplication, mutation, and co-option. Under a wide variety of input parameters, digital organisms evolve complexes of 2–5 bound proteins which have novel fun
Publikováno v:
Bioinformatics
Motivation: While phylogenetic analyses of datasets containing 1000–5000 sequences are challenging for existing methods, the estimation of substantially larger phylogenies poses a problem of much greater complexity and scale. Methods: We present DA
Autor:
C. Randal Linder, Serita M. Nelesen, Alexandros Stamatakis, Mark T. Holder, Jiaye Yu, Kevin Liu, Tandy Warnow
Publikováno v:
Systematic biology. 61(1)
Highly accurate estimation of phylogenetic trees for large data sets is difficult, in part because multiple sequence alignments must be accurate for phylogeny estimation methods to be accurate. Coestimation of alignments and trees has been attempted
Publikováno v:
Science (New York, N.Y.). 324(5934)
Rapid Tree Building Phylogenetic reconstruction is used to determine the relationships between organisms and requires an accurate alignment and analysis of multiple sequences. Iterative rounds of alignment and tree building are often necessary to pre
Publikováno v:
Pacific Symposium on Biocomputing
Scopus-Elsevier
Scopus-Elsevier
Many multiple sequence alignment methods (MSAs) use guide trees in conjunction with a progressive alignment technique to generate a multiple sequence alignment but use differing techniques to produce the guide tree and to perform the progressive alig
Autor:
Serita M. Nelesen, Warren A. Hunt
Publikováno v:
ACL2
Biologists studying the evolutionary relationships between organisms use software packages to solve the computational problems they encounter. Several of these problems involve the production and analysis of phylogenetic trees. We present our system