Automated data extraction is increasingly used to develop databases in materials science and other fields1. Many databases have been created using natural language processing (NLP) and language models (LMs)2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22. Recently, the emergenc...
To our knowledge, the first systematic effort to build a metadata schema for exchanging data in chemistry and materials science is CIF, an acronym that originally stood for Crystallographic Information File, the data-exchange standard file format introduced in 1991 by Hall, Allen and Brown5,6. La...
The ChemDashboard database is an internal-to-EPA application support database providing the necessary infrastructure to support the function of the Dashboard application rather than the data displayed in the application. The Dashboard has built-in administrative functions that allow an administrator to...
Nat. Commun. 5, 4371 (2014). doi:10.1038/ncomms5371 Article Google Scholar ESNet: Energy Sciences Network. https://www.es.net (2016). Accessed 16 Aug 2016 NERSC Annual Report 2014, pp. 30. http://www.nersc.gov/assets/Uploads/2014NERSCAnnualReport.pdf (2014). Accessed 16 Aug 2016...
Nat Genet. 2011, 43 (2): 109-116. 10.1038/ng.740. Article PubMed Central CAS PubMed Google Scholar Gouzy J, Carrere S, Schiex T: FrameDP: sensitive peptide detection on noisy matured sequences. Bioinformatics. 2009, 25 (5): 670-671. 10.1093/bioinformatics/btp024. Article PubMed ...
sharing and community curation of mass spectrometry data with gnps. nat biotechnol 34:828–837. https://doi.org/10.1038/nbt.3597 article cas pubmed pubmed central google scholar daniel s (2017) nist standard reference simulation website. https://chemdata.nist.gov/ ...
Figure 5 Screenshot of the Blue Obelisk eXchange Question and Answer website. Full size image The rise of self-publishing and print-on-demand services has meant that publishing a book is now as straightforward as uploading to an appropriate website. Unlike the traditional publishing route where ...
Nat. Mach. Intell. 2019, 1, 206–215. [Google Scholar] [CrossRef] [PubMed] [Green Version] Raschka, S.; Mirjalili, V. Python Machine Learning: Machine Learning and Deep Learning with Python, Scikit-Learn, and TensorFlow, 2nd ed.; Packt Publishing Ltd.: Birmingham, UK, 2017. [Google...
Nat. Commun. 2021, 12, 4387. [Google Scholar] [CrossRef] Liu, Q.; Fang, L.; Yu, G.; Wang, D.; Xiao, C.-L.; Wang, K. Detection of DNA base modifications by deep recurrent neural network on Oxford Nanopore sequencing data. Nat. Commun. 2019, 10, 2449. [Google Scholar] [...
Nat Protoc. 2018;13(4):633–51. Article CAS Google Scholar Tautenhahn R, et al. XCMS Online: a web-based platform to process untargeted metabolomic data. Anal Chem. 2012;84(11):5035–9. Article CAS Google Scholar Wilkinson MD, et al. The FAIR Guiding Principles for scientific data...