Forward-Backward Asymmetry at High Mass in tt Production in pp Collisions at

We present a new measurement of the inclusive forward-backward tbar{t} production asymmetry and its mass dependence. The measurements are performed with data corresponding to an integrated luminosity of L = 5.3 fb^{−1} of pp ̄ collisions at √s =1.96 TeV, recorded with the CDF II Detector at the Fermilab Tevatron. Significant inclusive asymmetries are observed in both the laboratory frame and the tbar{t} rest frame, and in both cases are found to be consistent with CP conservation under interchange of t and bar{t}. In the tbar{t} rest frame, the asymmetry is observed to increase with the invariant mass, M_{tbar{t}}, of the tbar{t} system. Fully corrected parton-level asymmetries are derived in two regions of M_{tbar{t}}, and the asymmetry is found to be most significant at large M_{tbar{t}}. For M_{tbar{t}} ≥ 450 GeV/c2, the parton-level asymmetry in the tbar{t} rest frame is A_{tbar{t} = 0.475±0.114 compared to a next-to-leading order QCD prediction of 0.088 ± 0.013.Ph.D.PhysicsUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp://deepblue.lib.umich.edu/bitstream/2027.42/86259/1/aeppig_1.pd

The Human Phenotype Ontology project:linking molecular biology and disease through phenotype data

The Human Phenotype Ontology (HPO) project, available at http://www.human-phenotype-ontology.org, provides a structured, comprehensive and well-defined set of 10,088 classes (terms) describing human phenotypic abnormalities and 13,326 subclass relations between the HPO classes. In addition we have developed logical definitions for 46% of all HPO classes using terms from ontologies for anatomy, cell types, function, embryology, pathology and other domains. This allows interoperability with several resources, especially those containing phenotype information on model organisms such as mouse and zebrafish. Here we describe the updated HPO database, which provides annotations of 7,278 human hereditary syndromes listed in OMIM, Orphanet and DECIPHER to classes of the HPO. Various meta-attributes such as frequency, references and negations are associated with each annotation. Several large-scale projects worldwide utilize the HPO for describing phenotype information in their datasets. We have therefore generated equivalence mappings to other phenotype vocabularies such as LDDB, Orphanet, MedDRA, UMLS and phenoDB, allowing integration of existing datasets and interoperability with multiple biomedical resources. We have created various ways to access the HPO database content using flat files, a MySQL database, and Web-based tools. All data and documentation on the HPO project can be found online