PPT-High School : Alignment

to Mathematics GradeLevel Standards Session Objective The purpose of these materials is to help develop understanding of the expectations of highquality summative assessment items The concepts shown throughout these modules can be useful for classroom questioning and assessment but the items themselves may need to be slightly modified. Swarun Kumar. Fadel. . Adib. , . Omid. Aryan, . Shyamnath. . Gollakota. . and Dina Katabi . Major Advances in MIMO. E.g. Interference Alignment. . Significant gains in throughput. Single-Antenna Devices. 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. Linear-space alignment. Using 2 columns of space, we can compute. for k = 1…M, F(M/2, k), F. r. (M/2, N – k). . PLUS the backpointers. x. 1. …. x. M/2. y. 1. x. M. y. N. x. 1. …. x. M/2+1. transform. Heng. Li and Richard Durbin∗. Members of this presentation:. Yunji. Wang. Sree. . Devineni. Zhen Gao. Motivation. The first generation of hash table-based methods (e.g. MAQ) are:. Slow. 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. 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. “. The principle of alignment states that nothing should be placed on the page arbitrarily. Every item should have a visual connection with something else on the page.. ”. Left aligned . Right . aligned. Swarun Kumar. Fadel. . Adib. , . Omid. Aryan, . Shyamnath. . Gollakota. . and Dina Katabi . Major Advances in MIMO. E.g. Interference Alignment. . Significant gains in throughput. Single-Antenna Devices. 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?. The linear comparison of more than two sequences. Places residues in columns . per . position specific similarity scores . reflects . relationships . of the . sequences. the scores are based on . 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. . 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?. Applications. Genome sequencing on the rise. Whole genome comparison provides a deeper understanding of biology. Evolutionary history. Non-coding regions. Variant detection. Methods. General two-fold approach.