01547nas 2200493-a 450 991089299460332120240413025237.0(DE-599)ZDB2236874-7(CKB)991042724319248(CONSER)---59037917-(EXLCZ)9999104272431924820760921b19442011 --- bspatxtrdacontentcrdamediacrrdacarrierBoletín /Sociedad Botánica de MéxicoMéxico Sociedad Botánica de México1944-1 online resourcePrint version: Boletín (Sociedad Botánica de México) 0366-2128 (DLC) 59037917 (OCoLC)2456030 Boletín de la Sociedad Botánica de MéxicoBOL SOC BOT MEXB SOC BOT MEXBOL. SOC. BOT. MEXBol. Soc. Bot. Méx.BotanyMexicoPeriodicalsPlantsMexicoPeriodicalsBotanyPeriodicalsBotanyfast(OCoLC)fst00836869Plantsfast(OCoLC)fst01065823Mexicofasthttps://id.oclc.org/worldcat/entity/E39QbtfRkxCrqQ3XXbCkdP63kcPeriodicals.fastBotanyPlantsBotanyBotany.Plants.581/.05Sociedad Botánica de México.JOURNAL9910892994603321exl_impl conversionBoletin1962034UNINA05603nam 2200697 a 450 991102031880332120200520144314.09781118494042111849404097812991882661299188265978111849378611184937889781118493779111849377X(CKB)2670000000327684(EBL)1120718(OCoLC)827207580(SSID)ssj0000831532(PQKBManifestationID)11437142(PQKBTitleCode)TC0000831532(PQKBWorkID)10873022(PQKB)10952289(MiAaPQ)EBC1120718(DLC) 2012046813(PPN)191455482(Perlego)1000555(EXLCZ)99267000000032768420121107d2013 uy 0engur|n|---|||||txtccrComputational and statistical methods for protein quantification by mass spectrometry /Ingvar Eidhammer ... [et al.]Chichester, West Sussex, U.K. John Wiley & Sons Inc.20131 online resource (356 p.)Description based upon print version of record.9781119964001 1119964008 Includes bibliographical references and index.Computational and Statistical Methods for Protein Quantification by Mass Spectrometry; Contents; Preface; Terminology; Acknowledgements; 1 Introduction; 1.1 The composition of an organism; 1.1.1 A simple model of an organism; 1.1.2 Composition of cells; 1.2 Homeostasis, physiology, and pathology; 1.3 Protein synthesis; 1.4 Site, sample, state, and environment; 1.5 Abundance and expression - protein and proteome profiles; 1.5.1 The protein dynamic range; 1.6 The importance of exact specification of sites and states; 1.6.1 Biological features; 1.6.2 Physiological and pathological features1.6.3 Input features1.6.4 External features; 1.6.5 Activity features; 1.6.6 The cell cycle; 1.7 Relative and absolute quantification; 1.7.1 Relative quantification; 1.7.2 Absolute quantification; 1.8 In vivo and in vitro experiments; 1.9 Goals for quantitative protein experiments; 1.10 Exercises; 2 Correlations of mRNA and protein abundances; 2.1 Investigating the correlation; 2.2 Codon bias; 2.3 Main results from experiments; 2.4 The ideal case for mRNA-protein comparison; 2.5 Exploring correlation across genes; 2.6 Exploring correlation within one gene; 2.7 Correlation across subsets2.8 Comparing mRNA and protein abundances across genes from two situations2.9 Exercises; 2.10 Bibliographic notes; 3 Protein level quantification; 3.1 Two-dimensional gels; 3.1.1 Comparing results from different experiments - DIGE; 3.2 Protein arrays; 3.2.1 Forward arrays; 3.2.2 Reverse arrays; 3.2.3 Detection of binding molecules; 3.2.4 Analysis of protein array readouts; 3.3 Western blotting; 3.4 ELISA - Enzyme-Linked Immunosorbent Assay; 3.5 Bibliographic notes; 4 Mass spectrometry and protein identification; 4.1 Mass spectrometry; 4.1.1 Peptide mass fingerprinting (PMF)4.1.2 MS/MS - tandem MS4.1.3 Mass spectrometers; 4.2 Isotope composition of peptides; 4.2.1 Predicting the isotope intensity distribution; 4.2.2 Estimating the charge; 4.2.3 Revealing isotope patterns; 4.3 Presenting the intensities - the spectra; 4.4 Peak intensity calculation; 4.5 Peptide identification by MS/MS spectra; 4.5.1 Spectral comparison; 4.5.2 Sequential comparison; 4.5.3 Scoring; 4.5.4 Statistical significance; 4.6 The protein inference problem; 4.6.1 Determining maximal explanatory sets; 4.6.2 Determining minimal explanatory sets; 4.7 False discovery rate for the identifications4.7.1 Constructing the decoy database4.7.2 Separate or composite search; 4.8 Exercises; 4.9 Bibliographic notes; 5 Protein quantification by mass spectrometry; 5.1 Situations, protein, and peptide variants; 5.1.1 Situation; 5.1.2 Protein variants - peptide variants; 5.2 Replicates; 5.3 Run - experiment - project; 5.3.1 LC-MS/MS run; 5.3.2 Quantification run; 5.3.3 Quantification experiment; 5.3.4 Quantification project; 5.3.5 Planning quantification experiments; 5.4 Comparing quantification approaches/methods; 5.4.1 Accuracy; 5.4.2 Precision; 5.4.3 Repeatability and reproducibility5.4.4 Dynamic range and linear dynamic range The definitive introduction to data analysis in quantitative proteomics This book provides all the necessary knowledge about mass spectrometry based proteomics methods and computational and statistical approaches to pursue the planning, design and analysis of quantitative proteomics experiments. The author's carefully constructed approach allows readers to easily make the transition into the field of quantitative proteomics. Through detailed descriptions of wet-lab methods, computational approaches and statistical tools, this book covers the full scope of a quantitative experimProteomicsStatistical methodsMass spectrometryData processingProteomicsStatistical methods.Mass spectrometryData processing.572/.636Eidhammer Ingvar1838854MiAaPQMiAaPQMiAaPQBOOK9911020318803321Computational and statistical methods for protein quantification by mass spectrometry4417940UNINA03471nam 22006735 450 991067668370332120251009080518.010.1007/978-981-19-9127-1(CKB)5670000000618224(DE-He213)978-981-19-9127-1(NjHacI)995670000000618224(MiAaPQ)EBC7213812(Au-PeEL)EBL7213812(OCoLC)1372775511(PPN)269099743(ODN)ODN0010072386(EXLCZ)99567000000061822420230311d2023 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierOxygen-Carrier-Aided Combustion Technology for Solid-Fuel Conversion in Fluidized Bed /by Lunbo Duan, Lin Li1st ed. 2023.Singapore :Springer Nature Singapore :Imprint: Springer,2023.1 online resource (IX, 121 p. 75 illus., 42 illus. in color.) 981-19-9126-X 981-19-9127-8 Introduction -- The evolution of OCAC and its basic working principles -- OCAC for fuel conversion without CO2 capture -- OCAC technology in oxy-fuel combustion for carbon capture -- New concepts for OCAC in other applications -- Perspectives on future research -- Conclusions.This open access book surveys the development of OCAC technology in the last decade for solid fuel conversion in fluidized beds. The scientific concerns, including combustion and emission characteristics, ash-related problems, OC aging, and so on, are summarized and analyzed. Beyond this, new concepts like OCAC with Oxy-PFBC, OCAC coupled with staged fuel conversion, OCAC in rotatory kilns and multi-functional OCAC are proposed, so as to promote the applications of OCAC to various fields in the future. Moreover, this book also outlines the perspectives for future research and development of OCAC. As an emerging technology, extensive studies and investigations are still necessary to fill in the gap from the fundamental understanding of the technology to its industrial demonstrations. Nevertheless, we believe that this book provides novel insights for the readership of energy and combustion and stimulate meaningful follow-on research on OCAC technology.Renewable energy sourcesElectric power-plantsThermodynamicsHeat engineeringHeatTransmissionMass transferRenewable EnergyPower StationsEngineering Thermodynamics, Heat and Mass TransferRenewable energy sources.Electric power-plants.Thermodynamics.Heat engineering.HeatTransmission.Mass transfer.Renewable Energy.Power Stations.Engineering Thermodynamics, Heat and Mass Transfer.621.042SCI065000TEC031000TEC031010bisacshDuan Lunboauthttp://id.loc.gov/vocabulary/relators/aut1354166Li Linauthttp://id.loc.gov/vocabulary/relators/autNjHacINjHaclBOOK9910676683703321Oxygen-Carrier-Aided Combustion Technology for Solid-Fuel Conversion in Fluidized Bed3306866UNINA