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您的检索式：作者名="C.Chambers"
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| 1 | Basophile:Accurate Fragment Charge State Prediction Improves Peptide Identification Rates显示文摘In shotgun proteomics, database search algorithms rely on fragmentation models to predict fragment ions that should be observed for a given peptide sequence. The most widely used strategy (Naive model) is oversimplified, cleaving all peptide bonds with equal probability to produce fragments of all charges below that of the precursor ion. More accurate models, based on fragmentation simulation, are too computationally intensive for on-the-fly use in database search algorithms. We have created an ordinal-regression-based model called Basophile that takes fragment size and basic residue distribution into account when determining the charge retention during CID/higherenergy collision induced dissociation (HCD) of charged peptides. This model improves the accuracy of predictions by reducing the number of unnecessary fragments that are routinely predicted for highly-charged precursors. Basophile increased the identification rates by 26% (on average) over the Naive model, when analyzing triply-charged precursors from ion trap data. Basophile achieves simplicity and speed by solving the prediction problem with an ordinal regression equation, which can be incorporated into any database search software for shotgun proteomic identification. | Dong Wang Surendra Dasari Matthew C.Chambers Jerry D.Holman Kan Chen Daniel C.Liebler Daniel J.Orton Samuel O.Purvine Matthew E.Monroe Chang Y.Chung Kristie L.Rose David L.Tabb | 2013 | Genomics, Proteomics & Bioinformatics2013，11，2： | 0 |
| 2 | Geomorphic predictors of riparian vegetation in small mountain watersheds显示文摘Aims Hydrogeomorphic processes operating at watershed,process zone and site scales influence the distribution of riparian vegeta-tion.However,most studies examining the relationships between hydrogeomorphic processes and riparian vegetation are conducted at site scales.We quantified the relative importance of watershed,process zone and site geomorphic characteristics for predicting riparian plant community types and plant species abundances in four small mountain watersheds in central Nevada,u.Methods We mapped riparian vegetation types and identified process zones(based on dominant geomorphic process and valley fill material)within the watersheds.We sampled sites in each combination of veg-etation type and process zone(n=184 sites)and collected data on watershed scale factors,valley and stream geomorphic characteristics and on plant cover of each geomorphic surface.Plant community types were defined by cluster and indicator species analyses of plant cover data,and related to geomorphic variables using ordination analysis(nonmetric multidimensional scaling).linear mixed effects models were used to predict abundances of indicator species.Important Findings Variables describing position in the watershed(elevation,contrib-uting area)that are related to gradients of temperature,moisture and stream discharge were of primary importance in predicting plant community types.Variables describing local geomorphic setting(valley width,stream gradient,channel sediments,geomor-phic surface height)were of secondary importance,but accurately described the geomorphic setting of indicator species.The process zone classification did not include position in the watershed or channel characteristics and only predicted plant community types with unique geomorphic settings.In small mountain watersheds,predicting riparian vegetation distribution requires explicit consid-eration of scale and geomorphic context within and among water-sheds in addition to site variables. | Blake M.Engelhardt Jeanne C.Chambers Peter J.Weisberg | 2015 | Journal of Plant Ecology2015，8，6： | 0 |
| 3 | Search for two-neutrino double-beta decay of^(136)Xe to the 0^(+)_(1)excited state of 136Ba with the complete EXO-200 dataset显示文摘A new search for two-neutrino double-beta(2νββ)decay of^(136)Xe to the 0+1 excited state of 136Ba is performed with the full EXO-200 dataset.A deep learning-based convolutional neural network is used to discriminate signal from background events.Signal detection efficiency is increased relative to previous searches by EXO-200 by more than a factor of two.With the addition of the Phase II dataset taken with an upgraded detector,the median 90%confidence level half-life sensitivity of 2νββdecay to the 0+1 state of 136Ba is 2.9×10^(24)yr using a total^(136)Xe exposure of 234.1 kg yr.No statistically significant evidence for 2νββdecay to the 0^(+)_(1)state is observed,leading to a lower limit of T2ν1/2(0^(+)→0^(+)_(1))>1.4×10^(24)yr at 90%confidence level,improved by 70%relative to the current world's best constraint. | S.Al Kharusi G.Anton I.Badhrees P.S.Barbeau D.Beck V.Belov T.Bhatta M.Breidenbach T.Brunner G.F.Cao W.R.Cen C.Chambers B.Cleveland M.Coon A.Craycraft T.Daniels L.Darroch S.J.Daugherty J.Davis S.Delaquis A.Der Mesrobian-Kabakian R.DeVoe J.Dilling A.Dolgolenko M.J.Dolinski J.Echevers W.Fairbank Jr. D.Fairbank J.Farine S.Feyzbakhsh P.Fierlinger Y.S.Fu D.Fudenberg P.Gautam R.Gornea G.Gratta C.Hall E.V.Hansen J.Hoessl P.Hufschmidt M.Hughes A.Iverson A.Jamil C.Jessiman M.J.Jewell A.Johnson A.Karelin L.J.Kaufman T.Koffas R.Krücken A.Kuchenkov K.S.Kumar Y.Lan A.Larson B.G.Lenardo D.S.Leonard G.S.Li S.Li Z.Li C.Licciardi Y.H.Lin R.MacLellan T.McElroy T.Michel B.Mong D.C.Moore K.Murray O.Njoya O.Nusair A.Odian I.Ostrovskiy A.Perna A.Piepke A.Pocar F.Retière A.L.Robinson P.C.Rowson J.Runge S.Schmidt D.Sinclair K.Skarpaas A.K.Soma V.Stekhanov M.Tarka S.Thibado J.Todd T.Tolba T.I.Totev R.Tsang B.Veenstra V.Veeraraghavan P.Vogel J.-L.Vuilleumier M.Wagenpfeil J.Watkins M.Weber L.J.Wen U.Wichoski G.Wrede S.X.Wu Q.Xia D.R.Yahne L.Yang Y.-R.Yen O.Ya.Zeldovich T.Ziegler 无 | 2023 | Chinese Physics C2023，47，10： | 0 |
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