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Gene Ontology Project geneontology/

Gene Ontology Project geneontology/

Gene Ontology Project http://www.geneontology.org/. Who is citing GO?. 450. 1063 publications over 284 Journals. http://www.geneontology.org/cgi-bin/biblio.cgi. Week ending 25th September 2006. National Institute on Alcohol Abuse and Alcoholism (NIAAA)

By howie
(108 views)

Evolution of bacterial regulatory systems

Evolution of bacterial regulatory systems

Evolution of bacterial regulatory systems. Mikhail Gelfand Research and Training Center “Bioinformatics” Institute for Information Transmission Problems Moscow, Russia. ASM, Philadelphia, 18.IV.2009. Catalog of events. Expansion and contraction of regulons New regulators (where from?)

By vidal
(96 views)

INTRODUCTION

INTRODUCTION

193962_at. Target. 150. 188023_at. 6. 100. Time. 5. 50. Residual. 4. Height. 3. 0. 40. 30. 20. 10. 0. 2. Expression. 1. 4. SIMULATIONS A simulation model [5] was first used to generate time series expression profiles.

By sybil
(69 views)

Microarray experiments. Database and Analysis Tools.

Microarray experiments. Database and Analysis Tools.

Microarray experiments. Database and Analysis Tools. Kate Milova cDNA Microarray Facility March 24, 2005. Outline. Microarray platforms and services at AECOM: cDNA Long Oligo Affymetrix Database (cDNA & Long Oligo) structure and content: Printing information Chip layout

By tibor
(108 views)

C5 : Software for Microarray Analysis 高成炎 、 黃瑞仁 、張春梵、 陳朝欽 ( November/2005 )

C5 : Software for Microarray Analysis 高成炎 、 黃瑞仁 、張春梵、 陳朝欽 ( November/2005 )

C5 : Software for Microarray Analysis 高成炎 、 黃瑞仁 、張春梵、 陳朝欽 ( November/2005 ). MA-Plot and Other Program Listing. compustt spot features maplot matlab MA plot linearfit normalization geneUD up/down genes cluster K-means Algo. bestBC feature selection

By symona
(237 views)

Data mining with the Gene Ontology

Data mining with the Gene Ontology

Grup de Recerca en Estadística i Bioinformàtica. Data mining with the Gene Ontology. GO ing into Biological Meaning. Josep Lluís Mosquera April 2005. Motivation. High throughput methodologies pose different challenges : The experiment in itself Statistical analysis of results

By royal
(130 views)

ARVO Poster 3093/B6-46

ARVO Poster 3093/B6-46

rd1 mice at PN15 +/- Neuroprotective Treatment (48h). GDNF. CNTF. PN15. PBS. Isolation of RNA form retina Preparation of Biological Duplicate Samples, QC. Affymetrix Transcription Profiling MG U74-2 arrays (36k transcripts). Quality Index Assessment of transcription profiling data.

By valiant
(220 views)

Difference in Gene Regulation by Smad and CLIC proteins in Drosophila

Difference in Gene Regulation by Smad and CLIC proteins in Drosophila

Michael Vuong. Difference in Gene Regulation by Smad and CLIC proteins in Drosophila. Alcohol Study. National Institute on Alcohol Abuse and Alcoholism About 1 in 4 people who drink heavily may have alcohol dependence or abuse problems

By lucie
(102 views)

Apostolos Zaravinos and Constantinos C. Deltas

Apostolos Zaravinos and Constantinos C. Deltas

DIFFERENTIALLY EXPRESSED GENES AND THEIR ASSOCIATED NETWORKS IN CLEAR-CELL RENAL CELL CARCINOMA (RCC). Apostolos Zaravinos and Constantinos C. Deltas.

By madra
(113 views)

Outcome: lists of regulated genes and exons between different experimental conditions.

Outcome: lists of regulated genes and exons between different experimental conditions.

Overview of splicing array analysis. Outcome: lists of regulated genes and exons between different experimental conditions.

By becky
(62 views)

Update on StemBase, the database of the Stem Cell Genomics Project

Update on StemBase, the database of the Stem Cell Genomics Project

Update on StemBase, the database of the Stem Cell Genomics Project. Miguel Andrade, OHRI, Ottawa. Stem Cell Genomics Project. StemBase. DVD release Oct 2005. Stem Cell Genomics Project. StemBase. DVD release Oct 2005. The Stem Cell Genomics Project.

By kalona
(91 views)

Apostolos Zaravinos , Myrtani Pieri, Nikos Mourmouras, Natassa Anastasiadou,

Apostolos Zaravinos , Myrtani Pieri, Nikos Mourmouras, Natassa Anastasiadou,

Altered metabolic pathways in clear cell renal cell carcinoma: A meta-analysis and validation study focused on the deregulated genes and their associated networks. Apostolos Zaravinos , Myrtani Pieri, Nikos Mourmouras, Natassa Anastasiadou, Ioanna Zouvani, Dimitris Delakas , Constantinos Deltas.

By jeb
(130 views)

Up regulated genes PLW vs PLC

Up regulated genes PLW vs PLC

Up-regulated genes in PLAvsPLC. Up regulated genes PLW vs PLC. supplementary Fig 1,.

By janae
(94 views)

T3 (1 gene)

T3 (1 gene)

v-ErbA. Differentiation. v-ErbA. (66 repressed genes). (54 up-regulated genes ). (44 up-regulated genes). (69 repressed genes ). 3. 64. 2. 52. 41. 66. A. Differentiation. B. v-ErbA (15 genes). RA (3 genes). 4. 3. Differentiation (11 genes). T3 (1 gene). 1. 7.

By hani
(86 views)

Genes Involved in Plant Stress Response and Evolution of their Responsiveness

Genes Involved in Plant Stress Response and Evolution of their Responsiveness

Genes Involved in Plant Stress Response and Evolution of their Responsiveness. Cheng Zou 11/09/2007. The Stress Response is Unique and Vital to Plants. Soybean aphid, Aphis glycines (Photo Claudio Gratton).

By britain
(147 views)

Ccl2, Ccl7, Pai2, Il1Rl1 Dusp6, Eps8, Ngef, Itga6, Cd44, F3, Mmp3, Hmga1

Ccl2, Ccl7, Pai2, Il1Rl1 Dusp6, Eps8, Ngef, Itga6, Cd44, F3, Mmp3, Hmga1

Delayed genes. Down-regulated genes. 2. 1. 82 genes. 2. -1. 4-24. 1. -2. -1. 4. -2. 4-6. 31 genes. 2. 69 genes. 4-6. -2. -4. 2. 2. 2. 87 genes. 1. 1. 1. 58 genes. -1. 2-6. -1. -1. -2. -2. -2. 4-24. 2-6. 82 genes. 0.5 1 2 4 6 24 hrs.

By lorie
(300 views)

Distribution of DBDs in the TF Regulatory Network

Distribution of DBDs in the TF Regulatory Network

+. _. +. +. _. _. _. metR. iclR. dnaA. _. rhaS. marA. marR. _. uidR. _. metJ. fadR. +. iciA. rhaR. _. _. uxuR. soxS. rob. +. _. exuR. _. lrp. soxR. mlc. +. fecI. +. _. +. +. +. +. +. +. malT. malI. melR. yiaJ. araC. glpR. glnG. gutM. fucR. fur.

By chick
(83 views)

Around the triangle

Around the triangle

Around the triangle. arrays. Chris Evelo BiGCaT Bioinformatics Maastricht May 19 2004. paths. QTLs. Involve information about chromosome locations of traits in expression analyses. Around the triangle. How to combine expression data with known pathways and

By tarmon
(73 views)

Intro & materials

Intro & materials

lab 2. Intro & materials. Monday MA experimental basic MA data analysis Introduction to lab 1 lab 1. Tuesday Introduction to lab 2 lab 2. Overview. Bio-Informatic motivation. Intro lab 2. Biological question Differentially expressed genes Classification etc.

By trevet
(108 views)

Analysis of data from Real time experiments

Analysis of data from Real time experiments

Analysis of data from Real time experiments. J.M.K. Mulema Department of Molecular and Cell Biology University of Cape Town. Introduction. Quantifying RNA ; Northern blotting, In situ hybridization, RNAse protection assays, Microarray, RT-PCR . Real time PCR

By aimon
(163 views)

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