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Sequence analysis
Results: 820

#	Item
251	Total Variation Reconstruction From Quasi-Random Samples Colas Schretter1,2 , Ignace Loris3 , Ann Dooms1,2 and Peter Schelkens1,2 1 Vrije Universiteit Brussel, Dept. of Electronics and Informatics, Pleinlaan 2, B-1050 Br Add to Reading List Source URL: homepages.ulb.ac.be Language: English - Date: 2014-02-26 11:10:13 Randomness Non-uniform random numbers Monte Carlo methods Numerical analysis Sampling Low-discrepancy sequence Peak signal-to-noise ratio Pseudo-random number sampling Inverse transform sampling Mathematics Applied mathematics Probability and statistics
252	Exploring Oceanographic Data with Ocean Data View (ODV) Ocean Data View is a software package for the interactive exploration, analysis and visualization of oceanographic and other geo-referenced profile or sequence data Add to Reading List Source URL: www.awi.de Language: English - Date: 2013-11-06 04:56:10 Earth Physical geography Meteorology Ocean Data View Physical oceanography National Oceanographic Data Center NetCDF World Ocean Circulation Experiment World Ocean Atlas Atmospheric sciences Earth sciences graphics software Oceanography
253	Further Information on alignments 1. Summary - an overview of steps in modern biology: Step 1: Cell  extract DNA  Analysis (eg SNP, PCR, RF:P etc) and / or clone (gene library). Step 2: From gene library undertake Add to Reading List Source URL: trishul.sci.gu.edu.au Language: English - Date: 2009-03-10 01:39:54 Biology Sequence alignment BLAST Indel Sequence analysis Mass spectrometry software Sequence Bioinformatics Science Computational phylogenetics
254	MECHANISMS OF DISEASE Mechanisms of disease Comparative full-length genome sequence analysis of 14 SARS coronavirus isolates and common mutations associated Add to Reading List Source URL: image.thelancet.com Language: English - Date: 2003-05-09 08:36:08 Animal virology Veterinary medicine Coronavirus SARS coronavirus Coronaviridae Severe acute respiratory syndrome Transmissible gastroenteritis coronavirus Mouse hepatitis virus Genome Biology Nidovirales Genetics
255	Automatic selection of partitioning schemes for phylogenetic analyses using iterative k-means clustering of site rates Add to Reading List Source URL: digitalcollections.anu.edu.au Language: English - Date: 2015-04-16 13:13:34 Bioinformatics Machine learning Data mining Cluster analysis K-means clustering Multiple sequence alignment K-means++ Neighbor joining Partition Statistics Computational phylogenetics Computational statistics
256	VMSP: Efficient Vertical Mining of Maximal Sequential Patterns Philippe Fournier-Viger1 Cheng-Wei Wu2 Antonio Gomariz3 Add to Reading List Source URL: www.philippe-fournier-viger.com Language: English - Date: 2014-05-08 15:08:36 Data analysis Data management Pattern Database Information technology management Information GSP Algorithm Sequence mining Data mining Formal sciences Design
257	1 Supporting Australian Mathematics Project Add to Reading List Source URL: www.amsi.org.au Language: English - Date: 2013-11-06 00:06:13 Differential calculus Mathematical series Calculus Limit of a function Limit of a sequence Derivative Geometric progression Summation Function Mathematical analysis Mathematics Functions and mappings
258	MacVector, the leading sequence analysis package for the Macintosh, takes full advantage of the Mac’s easy to use interface. MacVector makes it simple to import or create your sequences, design primers for them, subclo Add to Reading List Source URL: www.macvector.com Language: English - Date: 2015-01-16 21:34:18 Science Bioinformatics DNA Computational science MacVector Polymerase chain reaction Primer Molecular cloning Complementary DNA Biology Molecular biology Biochemistry
259	Data analysis and Visualisation with R Solutions to Exercises March 30, 2015 Contents Add to Reading List Source URL: www.uws.edu.au Language: English - Date: 2015-03-29 21:16:35 Linear algebra Data analysis Euclidean vector Vector calculus Vector space R Variance Sequence container Constructor Algebra Mathematics Abstract algebra
260	Total Variation Reconstruction From Quasi-Random Samples ABSTRACT Pseudo-random numbers are often used for generating incoherent uniformly distributed sample distributions. Add to Reading List Source URL: homepages.ulb.ac.be Language: English - Date: 2014-11-17 05:12:41 Non-uniform random numbers Sampling Probability and statistics Randomness Numerical analysis Pseudorandomness Random sample Low-discrepancy sequence Pseudo-random number sampling Mathematics Statistics Applied mathematics

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