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1 ; also known as mountain lions, cougars, and panthers).
2 based inference, such as that implemented in PANTHER.
3 using the multiple axes of classification in PANTHER.
4 RT, TIGRFAMs, PIRSF, SUPERFAMILY, Gene3D and PANTHER.
5 , there have been three main improvements to PANTHER.
6 r of pathways associated with subfamilies in PANTHER.
10 how that the D. rerio pigment pattern mutant panther ablates xanthophores in embryos and adults and h
12 ic trees of gene families form the basis for PANTHER and these trees are annotated with ontology term
14 s the accuracy of TBC is available at http://panther.appliedbiosystems.com/pub/tree_quality/index.jsp
15 ent protein families can be viewed at http://panther.appliedbiosystems.com/pub/tree_quality/trees.jsp
17 n of classification information available in PANTHER, as well as significant enhancements to the anal
19 t the panther population would fall below 10 panthers by 2010 was 0.098 (0.002-0.332) for the restora
30 ii) an improved methodology for defining the PANTHER families and subfamilies, and for building the H
34 ts within one degree of capture locations of panther grouper from the United States Geological Survey
36 el and is indicated as the area in which the panther grouper is most likely to become established.
38 (Pterois volitans/miles), which, as for the panther grouper, is assumed to have been introduced to t
42 a member of the InterPro Consortium, and the PANTHER hidden markov Models (HMMs) are distributed as p
43 iii) resources for scoring sequences against PANTHER HMMs both over the web and locally; and (iv) a n
44 there have been several new developments to PANTHER: (i) improved phylogenetic trees, explicitly rep
45 nitiative - using the estimated abundance of panthers in 1995, the year genetic restoration was initi
55 Analysis THrough Evolutionary Relationships (PANTHER) is a comprehensive software system for inferrin
56 ion, including cross-validated prediction of PANTHER LDOs and evaluation of evolutionary divergence a
59 THER is composed of two main components: the PANTHER library (PANTHER/LIB) and the PANTHER index (PAN
61 methods (SIFT, PolyPhen2, SNPs&GO, PhD-SNP, PANTHER, Mutation Assessor, MutPred, Condel and CAROL) a
62 an genes (as well as a few other organisms), PANTHER now also supports enrichment analysis using path
64 of this restoration experiment and show that panther numbers increased threefold, genetic heterozygos
67 multiple, diverse source databases: Gene3D, PANTHER, Pfam, PIRSF, PRINTS, ProDom, PROSITE, SMART, SU
68 ished prediction tools: MAPP, nsSNPAnalyzer, PANTHER, PhD-SNP, PolyPhen-1, PolyPhen-2, SIFT and SNAP.
69 ationTaster, Mutation Assessor, FATHMM, LRT, PANTHER, PhD-SNP, SNAP, SNPs&GO and MutPred), 3 conserva
71 esponsible for the substantial growth of the panther population that would otherwise have been declin
72 density-dependence, the probability that the panther population would fall below 10 panthers by 2010
73 cenario, providing further evidence that the panther population would have faced a substantially high
76 with ontology terms (Gene Ontology (GO) and PANTHER protein class), and sequences are assigned to PA
82 cs and persistence of the endangered Florida panther Puma concolor coryi population and evaluated the
83 movement patterns of the endangered Florida panther (Puma concolor coryi) and to discern factors inf
84 pecific PLVA transmission has occurred among panthers (Puma concolor coryi) in Florida following the
87 We used the Gene Ontology, Ingenuity, KEGG, Panther, Reactome, and Biocarta databases for gene set e
91 d CVL specimens and that the fully automated Panther system has all the necessary features suitable f
92 Marlborough, MA) performed on the automated Panther system is a rapid and high-throughput method for
93 automated format and high throughput of the Panther system, make this system well suited for reliabl
102 movement patterns of male and female Florida panthers were a consequence of sex-specific differences
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