FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2272503669> ?p ?o ?g. }

• W2272503669 endingPage "25" @default.
• W2272503669 startingPage "1" @default.
• W2272503669 abstract "Modern high-throughput structural biology laboratories produce vast amounts of raw experimental data. The traditional method of data reduction is very simple—results are summarized in peer-reviewed publications, which are hopefully published in high-impact journals. By their nature, publications include only the most important results derived from experiments that may have been performed over the course of many years. The main content of the published paper is a concise compilation of these data, an interpretation of the experimental results, and a comparison of these results with those obtained by other scientists. Due to an avalanche of structural biology manuscripts submitted to scientific journals, in many recent cases descriptions of experimental methodology (and sometimes even experimental results) are pushed to supplementary materials that are only published online and sometimes may not be reviewed as thoroughly as the main body of a manuscript. Trouble may arise when experimental results are contradicting the results obtained by other scientists, which requires (in the best case) the reexamination of the original raw data or independent repetition of the experiment according to the published description of the experiment. There are reports that a significant fraction of experiments obtained in academic laboratories cannot be repeated in an industrial environment (Begley CG & Ellis LM, Nature 483(7391):531–3, 2012). This is not an indication of scientific fraud but rather reflects the inadequate description of experiments performed on different equipment and on biological samples that were produced with disparate methods. For that reason the goal of a modern data management system is not only the simple replacement of the laboratory notebook by an electronic one but also the creation of a sophisticated, internally consistent, scalable data management system that will combine data obtained by a variety of experiments performed by various individuals on diverse equipment. All data should be stored in a core database that can be used by custom applications to prepare internal reports, statistics, and perform other functions that are specific to the research that is pursued in a particular laboratory. This chapter presents a general overview of the methods of data management and analysis used by structural genomics (SG) programs. In addition to a review of the existing literature on the subject, also presented is experience in the development of two SG data management systems, UniTrack and LabDB. The description is targeted to a general audience, as some technical details have been (or will be) published elsewhere. The focus is on “data management,” meaning the process of gathering, organizing, and storing data, but also briefly discussed is “data mining,” the process of analysis ideally leading to an understanding of the data. In other words, data mining is the conversion of data into information. Clearly, effective data management is a precondition for any useful data mining. If done properly, gathering details on millions of experiments on thousands of proteins and making them publicly available for analysis—even after the projects themselves have ended—may turn out to be one of the most important benefits of SG programs." @default.
• W2272503669 created "2016-06-24" @default.
• W2272503669 creator A5006511805 @default.
• W2272503669 creator A5007235300 @default.
• W2272503669 creator A5045963219 @default.
• W2272503669 creator A5054675915 @default.
• W2272503669 creator A5060470978 @default.
• W2272503669 creator A5078047272 @default.
• W2272503669 date "2014-01-01" @default.
• W2272503669 modified "2023-10-14" @default.
• W2272503669 title "Data Management in the Modern Structural Biology and Biomedical Research Environment" @default.
• W2272503669 cites W1489032582 @default.
• W2272503669 cites W1520392282 @default.
• W2272503669 cites W1964962985 @default.
• W2272503669 cites W1967233015 @default.
• W2272503669 cites W1969983512 @default.
• W2272503669 cites W1970599428 @default.
• W2272503669 cites W1977851803 @default.
• W2272503669 cites W1982121328 @default.
• W2272503669 cites W1984677141 @default.
• W2272503669 cites W1987777080 @default.
• W2272503669 cites W1995808589 @default.
• W2272503669 cites W2001169808 @default.
• W2272503669 cites W2014259223 @default.
• W2272503669 cites W2037445922 @default.
• W2272503669 cites W2040219737 @default.
• W2272503669 cites W2047705460 @default.
• W2272503669 cites W2047854788 @default.
• W2272503669 cites W2082804080 @default.
• W2272503669 cites W2086004174 @default.
• W2272503669 cites W2088638514 @default.
• W2272503669 cites W2088933990 @default.
• W2272503669 cites W2091940856 @default.
• W2272503669 cites W2103100105 @default.
• W2272503669 cites W2103503400 @default.
• W2272503669 cites W2121002144 @default.
• W2272503669 cites W2123002089 @default.
• W2272503669 cites W2125314454 @default.
• W2272503669 cites W2127056957 @default.
• W2272503669 cites W2130479394 @default.
• W2272503669 cites W2134394585 @default.
• W2272503669 cites W2135805337 @default.
• W2272503669 cites W2136348884 @default.
• W2272503669 cites W2144587714 @default.
• W2272503669 cites W2147719979 @default.
• W2272503669 cites W2149800784 @default.
• W2272503669 cites W2151430326 @default.
• W2272503669 cites W2153368399 @default.
• W2272503669 cites W2160855984 @default.
• W2272503669 cites W2161189461 @default.
• W2272503669 cites W2165206687 @default.
• W2272503669 cites W2166744107 @default.
• W2272503669 cites W2169085154 @default.
• W2272503669 cites W2170422286 @default.
• W2272503669 cites W2171325548 @default.
• W2272503669 cites W2171371946 @default.
• W2272503669 doi "https://doi.org/10.1007/978-1-4939-0354-2_1" @default.
• W2272503669 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/4086192" @default.
• W2272503669 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/24590705" @default.
• W2272503669 hasPublicationYear "2014" @default.
• W2272503669 type Work @default.
• W2272503669 sameAs 2272503669 @default.
• W2272503669 citedByCount "34" @default.
• W2272503669 countsByYear W22725036692015 @default.
• W2272503669 countsByYear W22725036692016 @default.
• W2272503669 countsByYear W22725036692017 @default.
• W2272503669 countsByYear W22725036692018 @default.
• W2272503669 countsByYear W22725036692019 @default.
• W2272503669 countsByYear W22725036692020 @default.
• W2272503669 countsByYear W22725036692021 @default.
• W2272503669 countsByYear W22725036692023 @default.
• W2272503669 crossrefType "book-chapter" @default.
• W2272503669 hasAuthorship W2272503669A5006511805 @default.
• W2272503669 hasAuthorship W2272503669A5007235300 @default.
• W2272503669 hasAuthorship W2272503669A5045963219 @default.
• W2272503669 hasAuthorship W2272503669A5054675915 @default.
• W2272503669 hasAuthorship W2272503669A5060470978 @default.
• W2272503669 hasAuthorship W2272503669A5078047272 @default.
• W2272503669 hasBestOaLocation W22725036692 @default.
• W2272503669 hasConcept C105795698 @default.
• W2272503669 hasConcept C111472728 @default.
• W2272503669 hasConcept C132964779 @default.
• W2272503669 hasConcept C138885662 @default.
• W2272503669 hasConcept C199360897 @default.
• W2272503669 hasConcept C2522767166 @default.
• W2272503669 hasConcept C2780586882 @default.
• W2272503669 hasConcept C2994469624 @default.
• W2272503669 hasConcept C33923547 @default.
• W2272503669 hasConcept C41008148 @default.
• W2272503669 hasConcept C55037315 @default.
• W2272503669 hasConceptScore W2272503669C105795698 @default.
• W2272503669 hasConceptScore W2272503669C111472728 @default.
• W2272503669 hasConceptScore W2272503669C132964779 @default.
• W2272503669 hasConceptScore W2272503669C138885662 @default.
• W2272503669 hasConceptScore W2272503669C199360897 @default.
• W2272503669 hasConceptScore W2272503669C2522767166 @default.
• W2272503669 hasConceptScore W2272503669C2780586882 @default.
• W2272503669 hasConceptScore W2272503669C2994469624 @default.

• next