Matches in SemOpenAlex for { <https://semopenalex.org/work/W2144074611> ?p ?o ?g. }
- W2144074611 endingPage "720" @default.
- W2144074611 startingPage "705" @default.
- W2144074611 abstract "Environmental physiology, toxicology, and ecology and evolution stand to benefit substantially from the relatively recent surge of omics technologies into these fields. These approaches, and proteomics in particular, promise to elucidate novel and integrative functional responses of organisms to diverse environmental challenges, over a variety of time scales and at different levels of organization. However, application of proteomics to environmental questions suffers from several challenges--some unique to high-throughput technologies and some relevant to many related fields--that may confound downstream biological interpretation of the data. I explore three of these challenges in environmental proteomics, emphasizing the dependence of biological conclusions on (1) the specific experimental context, (2) the choice of statistical analytical methods, and (3) the degree of proteome coverage and protein identification rates, both of which tend to be much less than 100% (i.e., analytical incompleteness). I use both a review of recent publications and data generated from my previous and ongoing proteomics studies of coastal marine animals to examine the causes and consequences of these challenges, in one case analyzing the same multivariate proteomics data set using 29 different combinations of statistical techniques common in the literature. Although some of the identified issues await further critical assessment and debate, when possible I offer suggestions for meeting these three challenges." @default.
- W2144074611 created "2016-06-24" @default.
- W2144074611 creator A5057641206 @default.
- W2144074611 date "2012-06-21" @default.
- W2144074611 modified "2023-10-18" @default.
- W2144074611 title "Challenges for Biological Interpretation of Environmental Proteomics Data in Non-model Organisms" @default.
- W2144074611 cites W1481311136 @default.
- W2144074611 cites W1706659500 @default.
- W2144074611 cites W1948056569 @default.
- W2144074611 cites W1963499130 @default.
- W2144074611 cites W1964895626 @default.
- W2144074611 cites W1965138864 @default.
- W2144074611 cites W1968494166 @default.
- W2144074611 cites W1969169432 @default.
- W2144074611 cites W1982327972 @default.
- W2144074611 cites W1984486655 @default.
- W2144074611 cites W1990593807 @default.
- W2144074611 cites W1998286232 @default.
- W2144074611 cites W2006919923 @default.
- W2144074611 cites W2008416274 @default.
- W2144074611 cites W2019654533 @default.
- W2144074611 cites W2025330505 @default.
- W2144074611 cites W2025803032 @default.
- W2144074611 cites W2029993564 @default.
- W2144074611 cites W2040999156 @default.
- W2144074611 cites W2042759025 @default.
- W2144074611 cites W2048333869 @default.
- W2144074611 cites W2053782496 @default.
- W2144074611 cites W2054395884 @default.
- W2144074611 cites W2056702568 @default.
- W2144074611 cites W2057235898 @default.
- W2144074611 cites W2065773864 @default.
- W2144074611 cites W2067286038 @default.
- W2144074611 cites W2071665498 @default.
- W2144074611 cites W2071837646 @default.
- W2144074611 cites W2072099326 @default.
- W2144074611 cites W2073503722 @default.
- W2144074611 cites W2094397891 @default.
- W2144074611 cites W2096993925 @default.
- W2144074611 cites W2097037788 @default.
- W2144074611 cites W2098722265 @default.
- W2144074611 cites W2099928904 @default.
- W2144074611 cites W2103089709 @default.
- W2144074611 cites W2103576724 @default.
- W2144074611 cites W2105381419 @default.
- W2144074611 cites W2105889769 @default.
- W2144074611 cites W2105981176 @default.
- W2144074611 cites W2106074866 @default.
- W2144074611 cites W2107580534 @default.
- W2144074611 cites W2112038226 @default.
- W2144074611 cites W2113847750 @default.
- W2144074611 cites W2117369514 @default.
- W2144074611 cites W2117839141 @default.
- W2144074611 cites W2118248265 @default.
- W2144074611 cites W2120806112 @default.
- W2144074611 cites W2125730438 @default.
- W2144074611 cites W2126436728 @default.
- W2144074611 cites W2133574997 @default.
- W2144074611 cites W2137424167 @default.
- W2144074611 cites W2141624157 @default.
- W2144074611 cites W2143283561 @default.
- W2144074611 cites W2143727851 @default.
- W2144074611 cites W2146614932 @default.
- W2144074611 cites W2159296652 @default.
- W2144074611 cites W2160697532 @default.
- W2144074611 cites W2162794088 @default.
- W2144074611 cites W2167391679 @default.
- W2144074611 cites W2168597617 @default.
- W2144074611 cites W2169251214 @default.
- W2144074611 cites W2171160963 @default.
- W2144074611 cites W2172238250 @default.
- W2144074611 cites W2397740386 @default.
- W2144074611 cites W3099017147 @default.
- W2144074611 cites W3104595043 @default.
- W2144074611 cites W4247716526 @default.
- W2144074611 doi "https://doi.org/10.1093/icb/ics093" @default.
- W2144074611 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/22730495" @default.
- W2144074611 hasPublicationYear "2012" @default.
- W2144074611 type Work @default.
- W2144074611 sameAs 2144074611 @default.
- W2144074611 citedByCount "30" @default.
- W2144074611 countsByYear W21440746112012 @default.
- W2144074611 countsByYear W21440746112013 @default.
- W2144074611 countsByYear W21440746112014 @default.
- W2144074611 countsByYear W21440746112015 @default.
- W2144074611 countsByYear W21440746112016 @default.
- W2144074611 countsByYear W21440746112017 @default.
- W2144074611 countsByYear W21440746112018 @default.
- W2144074611 countsByYear W21440746112019 @default.
- W2144074611 countsByYear W21440746112020 @default.
- W2144074611 countsByYear W21440746112021 @default.
- W2144074611 countsByYear W21440746112022 @default.
- W2144074611 countsByYear W21440746112023 @default.
- W2144074611 crossrefType "journal-article" @default.
- W2144074611 hasAuthorship W2144074611A5057641206 @default.
- W2144074611 hasBestOaLocation W21440746111 @default.
- W2144074611 hasConcept C104317684 @default.
- W2144074611 hasConcept C104397665 @default.