Results 71 to 80 of about 45,169 (258)
A multi‐omics framework combining multitissue genome‐wide association studies, metabolomics, transcriptomics, proteomics, and functional validation uncovers the genetic basis of specialized metabolism in quinoa. The study identifies hundreds of metabolite‐associated loci, prioritizes candidate genes for saponin, betalain, and flavonoid biosynthesis ...
Julia von Steimker +11 more
wiley +1 more source
Ari Friedman's Self Archive Initiative is back online. The original was a wiki that Ari took down when it ran into technical problems. The new version is not a wiki, just the get the content back online, but Ari hopes to solve the technical problems one day and restore the wiki.
openaire +1 more source
Autonomous laboratories can now synthesize materials faster than experts can interpret the resulting diffraction data. A probabilistic framework combines refinement‐fit metrics with large language model‐derived chemical reasoning to rank competing phase interpretations and flag those unsuitable for autonomous use.
Olympia Dartsi +7 more
wiley +1 more source
Robert Dellavalle, et al., Self-archiving dermatology articles, Journal of the American Academy of Dermatology 59(6), 2008. Self-archived December 16, 2008.
openaire +1 more source
Time Resolved DNA Barcodes for Information Encoding and Dynamic Encryption
This study establishes a molecular information platform based on DNA Temporal Barcodes. Information is encoded through combinations of DNA tags with distinct retention times, while dynamic encryption is achieved through a key‐triggered DNA ligation.
Likang Chu +7 more
wiley +1 more source
Electronic Markets on self-archiving [PDF]
Rainer Alt +2 more
openaire +1 more source
Katie Mantell, 'Self-archiving' urged for developing world scientists, <em> SciDev.Net </em> , March 5, 2004. On a widely distributed letter by Subbiah Arunachalam, Leslie Chan, and Barbara Kirsop, calling on authors from developing countries to self-archive.
openaire +1 more source
Enhancing Super‐Resolution Spatial Transcriptomics Data by Transfer Learning
SpotZoomer employs a transfer‐learning‐based strategy to enhance the resolution of Visium data by leveraging available high‐resolution priors. The resulting super‐resolved maps enable sharper delineation of cell boundaries and more precise inference of cell–cell communication patterns that would otherwise remain obscured at native resolution.
Xiaoyu Li, Lihua Zhang, Wenwen Min
wiley +1 more source
This paper is an attempt to review various aspects of the open access divide regarding the difference between those academics who support free sharing of data and scholarly output and those academics who do not.
Jingfeng Xia
doaj +1 more source

