Letter from L. Marcotte to Ogden Goelet

https://digitalcommons.salve.edu/goelet-interior/1039/thumbnail.jp

Receipt and Statement from L. Marcotte & Co. to Ogden Goelet

https://digitalcommons.salve.edu/goelet-interior/1044/thumbnail.jp

Statement from L. Marcotte & Co. to Ogden Goelet

https://digitalcommons.salve.edu/goelet-interior/1040/thumbnail.jp

Statement from L. Marcotte & Co. to Ogden Goelet

https://digitalcommons.salve.edu/goelet-interior/1043/thumbnail.jp

Alien Registration- Marcotte, Arthur L. (Lewiston, Androscoggin County)

https://digitalmaine.com/alien_docs/28986/thumbnail.jp

Statement from L. Marcotte & Co. to Ogden Goelet, City House and House in Newport

https://digitalcommons.salve.edu/goelet-interior/1049/thumbnail.jp

Letter from L. Marcotte & Co. to Robert & Ogden Goelet

https://digitalcommons.salve.edu/goelet-interior/1046/thumbnail.jp

Statement from L. Marcotte & Co. to Ogden Goelet, duplicate

https://digitalcommons.salve.edu/goelet-interior/1048/thumbnail.jp

Level-1 jet trigger hardware for the ALICE electromagnetic calorimeter at LHC

The ALICE experiment at the LHC is equipped with an electromagnetic calorimeter (EMCal) designed to enhance its capabilities for jet measurement. In addition, the EMCal enables triggering on high energy jets. Based on the previous development made for the Photon Spectrometer (PHOS) level-0 trigger, a specific electronic upgrade was designed in order to allow fast triggering on high energy jets (level-1). This development was made possible by using the latest generation of FPGAs which can deal with the instantaneous incoming data rate of 26 Gbit/s and process it in less than 4 {\mu}s.Comment: proceeding of TWEPP-10 at Aachen. 6 pages, 4 figure

Prediction of gene–phenotype associations in humans, mice, and plants using phenologs

All authors are with the Center for Systems and Synthetic Biology, Institute for Cellular and Molecular Biology, The University of Texas at Austin, Austin, TX 78712, USA. -- Ulf Martin Singh-Blom is with the Program in Computational and Applied Mathematics, The University of Texas at Austin, Austin, TX 78712, USA, and th Unit of Computational Medicine, Department of Medicine, Karolinska Institutet, Stockholm 171 76, Sweden. -- Kriston L. McGary is with the Department of Biological Sciences, Vanderbilt University, Nashville, TN 37235, USA.Background: Phenotypes and diseases may be related to seemingly dissimilar phenotypes in other species by means of the orthology of underlying genes. Such “orthologous phenotypes,” or “phenologs,” are examples of deep homology, and may be used to predict additional candidate disease genes. Results: In this work, we develop an unsupervised algorithm for ranking phenolog-based candidate disease genes through the integration of predictions from the k nearest neighbor phenologs, comparing classifiers and weighting functions by cross-validation. We also improve upon the original method by extending the theory to paralogous phenotypes. Our algorithm makes use of additional phenotype data — from chicken, zebrafish, and E. coli, as well as new datasets for C. elegans — establishing that several types of annotations may be treated as phenotypes. We demonstrate the use of our algorithm to predict novel candidate genes for human atrial fibrillation (such as HRH2, ATP4A, ATP4B, and HOPX) and epilepsy (e.g., PAX6 and NKX2-1). We suggest gene candidates for pharmacologically-induced seizures in mouse, solely based on orthologous phenotypes from E. coli. We also explore the prediction of plant gene–phenotype associations, as for the Arabidopsis response to vernalization phenotype. Conclusions: We are able to rank gene predictions for a significant portion of the diseases in the Online Mendelian Inheritance in Man database. Additionally, our method suggests candidate genes for mammalian seizures based only on bacterial phenotypes and gene orthology. We demonstrate that phenotype information may come from diverse sources, including drug sensitivities, gene ontology biological processes, and in situ hybridization annotations. Finally, we offer testable candidates for a variety of human diseases, plant traits, and other classes of phenotypes across a wide array of species.Center for Systems and Synthetic BiologyInstitute for Cellular and Molecular [email protected]