Zobrazeno 1 - 10
of 95
pro vyhledávání: '"Stefan C. Kremer"'
Autor:
Stefan C. Kremer, Stefan Linquist, Brent Saylor, Tyler A. Elliott, T. Ryan Gregory, Karl Cottenie
Publikováno v:
BMC Genomics, Vol 22, Iss 1, Pp 1-6 (2021)
Abstract This correspondence responds to the critique by Butler et al. (BMC Genomics 22:241, 2021) of our recent paper on transposable element (TE) persistence. We address the three main objections raised by Butler et al. After running a series of ad
Externí odkaz:
https://doaj.org/article/47d60d416f9b4c04949eb0d734f399e3
Autor:
Stefan C. Kremer, Stefan Linquist, Brent Saylor, Tyler A. Elliott, T. Ryan Gregory, Karl Cottenie
Publikováno v:
BMC Genomics, Vol 21, Iss 1, Pp 1-15 (2020)
Abstract Background The nuclear genomes of eukaryotes vary enormously in size, with much of this variability attributable to differential accumulation of transposable elements (TEs). To date, the precise evolutionary and ecological conditions influen
Externí odkaz:
https://doaj.org/article/46983ef1347b4311b7114bfc5d5b000c
Publikováno v:
Ecology and Evolution, Vol 10, Iss 7, Pp 3503-3517 (2020)
Abstract Ecological camera traps are increasingly used by wildlife biologists to unobtrusively monitor an ecosystems animal population. However, manual inspection of the images produced is expensive, laborious, and time‐consuming. The success of de
Externí odkaz:
https://doaj.org/article/fd7d1e80bb3941178507ba0f0a98048b
Publikováno v:
Ecology Letters.
Publikováno v:
Microbiology Spectrum. 11
There is an ever-increasing level of interest in accurately modeling and understanding the roles that commensal organisms play in human health and disease. We show that learned representations can be used to create informative ordinations.
Publikováno v:
Mammalian Biology. 102:899-914
Autor:
Stefan Schneider, Graham W. Taylor, Stefan C. Kremer, Patrick Burgess, Jillian McGroarty, Kyomi Mitsui, Alex Zhuang, Jeremy R. deWaard, John M. Fryxell
Publikováno v:
Methods in Ecology and Evolution. 13:346-357
Developing an understanding of how microbial communities vary across conditions is an important analytical step. We used 16S rRNA data isolated from human stool to investigate if learned dissimilarities, such as those produced using unsupervised deci
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bd2ffce37a9f1aaf5afa12006d0cf251
https://doi.org/10.1101/2022.03.31.486647
https://doi.org/10.1101/2022.03.31.486647
Publikováno v:
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).