PPT-Word Alignment

Philipp Koehn USCInformation Sciences Institute USCComputer Science Department School of Informatics University of Edinburgh Some slides adapted from David Kauchak CS159 Fall 2014 Kevin Knight. David Griffith, Voltaire Velazco. University of Wollongong. with very significant inputs from. John Robinson (Lauder). Frank Hase (KIT). Graham Kettlewell (UoW). IFS125 FT spectrometer. IFS125 interferometer. All services to be aligned to . neighbourhoods. Where services are too small to align to 17 neighbourhoods then they will align with agreed clustering of neighbourhoods. Deliver improved alignment to neighbourhoods. Jia. -Ming Chang, Paolo Di . Tommaso. , and Cedric . Notredame. TCS. : A new multiple sequence alignment reliability measure to estimate alignment accuracy and improve phylogenetic tree . reconstruction, . Weipeng Lin. Shanghai Astronomical Observatory, CAS, China. linwp@shao.ac.cn. Theory of structure formation. Origin. ：. the tiny density deviation from primeval quantum field fluctuation, amplified by gravitational instability. Declan . Groves, DCU. dgroves@computing.dcu.ie. Parallel Corpus. Seen why from week 2 that data-driven Machine Translation (MT), based on using real-world translation examples/data, is now the most prevelant approach. Scott Walmsley, PhD. Research Instructor, Department Pharmaceutical Sciences. Skaggs School of Pharmacy. Outline . What is and why perform Multiple . S. equence . A. lignment (MSA)?. Pre-requisite knowledge. Kiyomi. . Seiya. . Aperture scan. . B75 : Aperture scan program with new corrector. . Kent Triplet, Alex Waller. . BPM data from B40 to B:HPXXX, B:VPXXX. . Sharon Lackey. . Data taking and offline analysis. Image from http://graphics.cs.cmu.edu/courses/15-463/2010_fall/. A look into the past. http://blog.flickr.net/en/2010/01/27/a-look-into-the-past/. A look into the past. Leningrad during the blockade. Do Huy Hoang. Sequence Alignment. Sequence Similarity. Alignment. Arrange DNA/Protein sequences to show the similarity. “” denotes the insertion/deletion event. Other variations. Edit distance. Xuhua Xia. xxia@uottawa.ca. http://dambe.bio.uottawa.ca. Xuhua Xia. Slide . 2. Normal and Thalassemia HBb. Are the two genes homologous?. What evolutionary change can you infer from the alignment? . What is the consequence of the evolutionary change?. with. PASTA. Michael Nute. Austin, TX. June 17, 2016. Agenda. Quick recap of PASTA Algorithm. Run the GUI. Explore GUI options and what they do in terms of PASTA. Run a test alignment. Explore PASTA outputs and diagnostics. Goals and Process. Charge. With . a new Strategic Plan and institutional goals in place, we must now develop a process whereby we can align our resources with the vision, mission, values, and strategic objectives of the University. . Maya Schushan. November 2010. Outline- introduction to alignments. 1. . Introduction. 4. Pairwise Alignment:. Smith-Waterman. Needlman-Wunch. 5. Multiple Sequence Alignment:. ClustalW. MUSCLE. T-coffee. OUTLINE. Accelerator Pre-alignment background. Uncertainty and GUM supplement 1. PACMAN pre-alignment budgeting . CMM uncertainty modeling. Thermal uncertainty compensation and modeling. First stochastic modeling results.