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Microarray Data Analysis Day 2

Microarray Data Analysis Day 2

Microarray Data Analysis Day 2. Microarray Data Process/Outline . Experimental Design Image Analysis – scan to intensity measures (raw data) Normalization – “clean” data More “low level” analysis-fold change, ANOVA, (Z-score) --data filtering Data mining-how to interpret > 6000 measures

By anoush
(133 views)

Sequence analysis

Sequence analysis

Sequence analysis. FINDING STRUCTURES AND PATTERNS. combinatorics. Like a language composed from an alphabet, the letters are the basic building blocks Letters combine to form words Nucleotides; amino acids Words combine to form phrases binding regions/flanking; alpha-helices/beta-sheets

By irish
(106 views)

CSE891-001 2012 Fall

CSE891-001 2012 Fall

CSE891-001 2012 Fall. Summary. Goal: infer models of transcriptional regulation with annotated molecular interaction graphs

By tyme
(96 views)

Siemens Westinghouse Competition Math : Science : Technology National Finalist

Siemens Westinghouse Competition Math : Science : Technology National Finalist

Siemens Westinghouse Competition Math : Science : Technology National Finalist.

By norris
(116 views)

MCB 372 #13: Selection, Data Partitioning Gene Transfer

MCB 372 #13: Selection, Data Partitioning Gene Transfer

MCB 372 #13: Selection, Data Partitioning Gene Transfer. J. Peter Gogarten University of Connecticut Dept. of Molecular and Cell Biology. Collaborators: Olga Zhaxybayeva (Dalhousie) Jinling Huang (ECU) Tim Harlow (UConn) Pascal Lapierre (UConn) Greg Fournier (UConn).

By watson
(77 views)

Lecture 3 Protein binding networks

Lecture 3 Protein binding networks

Lecture 3 Protein binding networks. Genome-wide protein binding networks. Nodes - proteins Edges - protein-protein binding interactions Functions Structural (keratin) Functional (ribosome) regulation/signaling (kinases) etc.

By lena
(182 views)

Protein-protein interactions

Protein-protein interactions

Protein-protein interactions. Ia. A combined algorithm for genome-wide prediction of protein function. Edward M. Marcotte, Matteo Pellegrini, Michael J. Thompson, Todd O. Yeates, David Eisenberg( 1999) Nature 402,83-86. Protein function in the post-genomic era.

By sheri
(245 views)

酿酒酵母基因表达的网络调控

酿酒酵母基因表达的网络调控

酿酒酵母基因表达的网络调控. 罗孟军 马丹炜 关萍 刘少英. The yeast Saccharomyces cerevisia e, which at present is perhaps the best characterized model organism. Specificity and Stability in Topology of Protein Networks Sergei Maslov 1 and Kim Sneppen 2 3 MAY 2002 VOL 296 SCIENCE www.sciencemag.org.

By erin-bolton
(94 views)

Propagation of perturbations in protein binding networks

Propagation of perturbations in protein binding networks

Propagation of perturbations in protein binding networks. Sergei Maslov Brookhaven National Laboratory. Experimental interaction data are binary instead of graded  it is natural to study topology Very heterogeneous number of binding partners (degree)

By kristen-jacobs
(106 views)

ICAT TM Reagent Based Differential Protein Expression Analysis Using MALDI TOF Tandem MS

ICAT TM Reagent Based Differential Protein Expression Analysis Using MALDI TOF Tandem MS

ICAT TM Reagent Based Differential Protein Expression Analysis Using MALDI TOF Tandem MS. Xiangping Zhu, Armin Graber, Steve Hattan, Nikita Khainovski, Jason Marchese, Steve Martin, Dale Patterson, Babu Purkayastha, Anthony Romeo, Brian Williamson, Peter Juhasz. Applied Biosystems

By kubik
(3 views)

MCB 372 #13:   Selection, Data Partitioning Gene Transfer

MCB 372 #13: Selection, Data Partitioning Gene Transfer

MCB 372 #13: Selection, Data Partitioning Gene Transfer. J. Peter Gogarten University of Connecticut Dept. of Molecular and Cell Biology. Collaborators: Olga Zhaxybayeva (Dalhousie) Jinling Huang (ECU) Tim Harlow (UConn) Pascal Lapierre (UConn) Greg Fournier (UConn).

By ranne
(1 views)


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