Microarray Bioinformatics Kaveh Mashayekhi Kavehbiotech.kth.se

May 16, 2012

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Introduction. Gene expression profiling characterizes the dynamic function of each gene in the genome by measuring gene transcriptional levels at different developmental stages in different tissues and under various conditions.It help us to understand:- Gene regulation- Genetic mechanism of dis

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Microarray Bioinformatics Kaveh Mashayekhi Kavehbiotech.kth.se

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Introduction to Bioinformatics Microarrays2: Microarray Data Normalisation

Introduction to Bioinformatics Microarrays2: Microarray Data Normalisation. Course 341 Department of Computing Imperial College, London Moustafa Ghanem. Lecture Overview. Background and Motivation Introduction Microarray experiments and microarray data analysis Sources of variability

424 views • 28 slides

Microarray

Microarray. Yuki Juan NTUST May 26, 2003. Content. Biology background of microarray Design of microarray The workflow of microarray Image analysis of microarray Data analysis of microarray Discussion . The Biology Background of Microarray. The central dogma of life forms DNA RNA

928 views • 70 slides

Applications to Bioinformatics: Microarray Data Mining

Applications to Bioinformatics: Microarray Data Mining . Overview. Gene Expression Microarrays - Overview Building Microarray Classification Models data preparation gene selection parameter tuning and cross-validation Project – Data Mining Competition. Biology and Cells.

495 views • 35 slides

Rashid Kaveh*, Benoit Van Aken

Rashid Kaveh*, Benoit Van Aken Department of Civil and Environmental Engineering, Temple University, Philadelphia, PA * r.kaveh@temple.edu. Genetic Response of Plants Exposed t o Anti-Influenza Drugs. Temple University. College of Engineering. Background. Results.

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Lecture 2 Microarray Data Analysis Bioinformatics Data Analysis and Tools

C. E. N. T. E. R. F. O. R. I. N. T. E. G. R. A. T. I. V. E. B. I. O. I. N. F. O. R. M. A. T. I. C. S. V. U. Lecture 2 Microarray Data Analysis Bioinformatics Data Analysis and Tools. Purpose of lecture.

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Microarray

Microarray -DNA microarray hybridization is a method of choice for high-throughput RNA expression analysis. -It’s a high throughput technology. -In general array is an arrangment of points in rows and columns.

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Microarray

Materials & Methods. Microarray oligonucleotide microarrays [Hu6800 and Hu35KsubA GeneChips (Affymetrix, Santa Clara, CA)] containing a total of 16,063 probe sets representing 14,030 GenBank and 475 The Institute for Genomic Research (TIGR) accession. Supervised learning method.

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Lecture 5 Microarray Data Analysis Bioinformatics Data Analysis and Tools

C. E. N. T. E. R. F. O. R. I. N. T. E. G. R. A. T. I. V. E. B. I. O. I. N. F. O. R. M. A. T. I. C. S. V. U. Lecture 5 Microarray Data Analysis Bioinformatics Data Analysis and Tools. Content. cDNA arrays Short oligonucleotide arrays (Affymetrix)

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Bioinformatics, 201 2 .11. 15 Gene Expression Profiling by Microarray

Bioinformatics, 201 2 .11. 15 Gene Expression Profiling by Microarray. Chun-Ju Chang, Ph.D. chunju@ntou.edu.tw Department of Food Science College of Life Sciences National Taiwan Ocean University. Griffin & Shockcor . Nature Reviews Cancer 2004, 4:551. High Throughput Gene Discovery.

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EECS 730 Introduction to Bioinformatics Microarray

EECS 730 Introduction to Bioinformatics Microarray. Luke Huan Electrical Engineering and Computer Science http://people.eecs.ku.edu/~jhuan/. Administrative. Final exam: Dec 15 7:30-10:00. Model Based Subspace Clustering. Microarray Bi-clustering δ -clustering. MicroArray Dataset.

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Microarray

A. B. Fold Change. GenBank. Symbol. Microarray. RT-PCR. X06985. HMOX1. 9.80 ± 3.13. 12.04 ± 1.55. 1.5. M28130. Y = 1.146x - 0.072. IL8. 5.55 ± 1.00. 8.62 ± 1.05. R = 0.95. L19871. ATF3. 5.24 ± 0.71. 4.91 ± 0.23. 1.0. X04500. IL1B. 4.98 ± 1.00. 2.60 ± 0.46. J04111.

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Applications to Bioinformatics: Microarray Data Mining

Applications to Bioinformatics: Microarray Data Mining. Overview. Gene Expression Microarrays - Overview Building Microarray Classification Models data preparation gene selection parameter tuning and cross-validation Project – Data Mining Competition. Biology and Cells.

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Lecture 19 aCGH and Microarray Data Analysis Introduction to Bioinformatics

C. E. N. T. E. R. F. O. R. I. N. T. E. G. R. A. T. I. V. E. B. I. O. I. N. F. O. R. M. A. T. I. C. S. V. U. Lecture 19 aCGH and Microarray Data Analysis Introduction to Bioinformatics. C. E. N. T. E. R. F. O. R. I. N. T. E. G. R. A. T. I. V.

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MICROARRAY

A Quantitative Overview to Gene Expression Profiling in Animal Genetics. MICROARRAY. EXPERIMENTAL. DESIGN. Armidale Animal Breeding Summer Course, UNE, Feb. 2006. A Quantitative Overview to Gene Expression Profiling in Animal Genetics. Replication: Animal Sample Array Spot.

836 views • 68 slides

Microarray

Microarray. Simultaneously determining the abundance of multiple(100s-10,000s) transcripts. Gene expression assays. DNA microarrays rely on the hybridization properties of nucleic acids to monitor transcript or RNA abundance on a genome-wide scale in different types of cells.

487 views • 33 slides

Microarray

Microarray. Yuki Juan NTUST May 26, 2003. Content. Biology background of microarray Design of microarray The workflow of microarray Image analysis of microarray Data analysis of microarray Discussion. The Biology Background of Microarray. The central dogma of life forms DNA RNA

1.33k views • 70 slides

Microarray

372 views • 33 slides

Microarray

Microarray. Yuki Juan NTUST May 26, 2003. Content. Biology background of microarray Design of microarray The workflow of microarray Image analysis of microarray Data analysis of microarray Discussion. The Biology Background of Microarray. The central dogma of life forms DNA RNA

733 views • 70 slides

Applications to Bioinformatics: Microarray Data Mining

Applications to Bioinformatics: Microarray Data Mining. Overview. Gene Expression Microarrays - Overview Building Microarray Classification Models data preparation gene selection parameter tuning and cross-validation Project – Data Mining Competition. Biology and Cells.

375 views • 35 slides

Lecture 23 Microarray Data Analysis Introduction to Bioinformatics

C. E. N. T. E. R. F. O. R. I. N. T. E. G. R. A. T. I. V. E. B. I. O. I. N. F. O. R. M. A. T. I. C. S. V. U. Lecture 23 Microarray Data Analysis Introduction to Bioinformatics. Content. Justification cDNA arrays Short oligonucleotide arrays (Affymetrix)

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KAVEH

"A refreshing fragrance with a strong masculine tint, it is the perfect addition to the corporate arena.A whiff of Fresh Lemon graces the top notes, providing a hint of deeper pleasures to follow. A heady cocktail of Rose and Jasmine is at the heart of this bold perfume.The halal fragrance base is composed of Musk, Amber, Patchouli and Vetiver."

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LAFZ KAVEH Halal Perfumes

A refreshing fragrance with a strong masculine tint, it is the perfect addition to the corporate arena.

145 views • 14 slides

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