'Analysis pipeline' diaporamas de présentation

RNA-Seq Workshop for the Bioinformatician

RNA-Seq Workshop for the Bioinformatician. University of Pennsylvania November 6, 2014. Gregory R. Grant (ggrant@pcbi.upenn.edu). http://bioinf.itmat.upenn.edu/workshop/upenn-workshop_11-6-14.ppt. ITMAT Bioinformatics. Gregory Grant Eun Ji Kim Katharina Hayer Faith Coldren

1.94k views • 193 slides

Managing Broken Genes in the Age of Genomics

624 views • 46 slides

Challenges and Solutions for Managing the Complexities of a Genomic Core Facility

443 views • 44 slides

First results by IGEC2

First results by IGEC2. 6 month of data of AURIGA-EXPLORER-NAUTILUS May 20 - Nov 15, 2005 IGEC2 was the only gw observatory in operation search for transient gw signals to identify single candidates with high confidence : triple coincidences false alarm rate of 1 per century

575 views • 36 slides

LIGO Data Analysis Systems Data Management and Analysis

LIGO Data Analysis Systems Data Management and Analysis LIGO/LSC Analysis Software: Case Study of Inspiral Analysis 3. Open Science Grid (OSG) Activities by LIGO and LSC. LIGO NSF Review October 23-25, 2006 Stuart Anderson, Kent Blackburn, Duncan Brown LIGO Laboratory

629 views • 36 slides

PET Module

PET Module. Ana Beatriz Solana, MS Qu Tian (Teresa), MS Instructor: Dr. Charles Laymon. Cocaine Study . Literature: Cocaine-Dopamine - Decrease dopamine release - Toxic for animal DA neurons [ Volkow et al. 1997; Martinez et al. 2007, 2009 & 2011; Seiden et al. 1987]

384 views • 25 slides

Big data and Life Sciences

Big data and Life Sciences. Guy Coates Wellcome Trust Sanger Institute gmpc@sanger.ac.uk. The Sanger Institute. Funded by Wellcome Trust. 2 nd largest research charity in the world. ~700 employees. Based in Hinxton Genome Campus, Cambridge, UK. Large scale genomic research.

422 views • 24 slides

Removing Sequential Bottlenecks in Analysis of Next-Generation Sequencing Data

Removing Sequential Bottlenecks in Analysis of Next-Generation Sequencing Data. Yi Wang, Gagan Agrawal, Gulcin Ozer and Kun Huang. The Ohio State University. HiCOMB 2014 May 19 th , Phoenix, Arizona. Outline. Introduction Sequence Data Format Converter Design Experimental Results

369 views • 23 slides

Perl Object Layer & Pipelines

Perl Object Layer & Pipelines. Pipelines Steve Fischer John Iodice Deborah Pinney Mark Heiges Ed Robinson Perl Object Layer Brian Brunk Mark Gibson Dave Barkan. Pipeline Introduction. Sequential steps of Plugin calls Script calls Cluster jobs Purpose

288 views • 23 slides

Perl Object Layer & Pipelines

Perl Object Layer & Pipelines. Pipelines Steve Fischer John Iodice Deborah Pinney Mark Heiges Ed Robinson Perl Object Layer Brian Brunk Mark Gibson Dave Barkan. Pipeline Introduction. Sequential steps of Plugin calls Script calls Cluster jobs Purpose

240 views • 23 slides

Use Case 3: Biomarker Potential and Limitations of Circulating miRNA

ERCC D ata Analysis. Use Case 3: Biomarker Potential and Limitations of Circulating miRNA. Performed by the Data Management a nd Resource Repository (DMRR).

368 views • 19 slides

Inferring Effective Connectivity From High-Dimensional ECoG Recordings

182 views • 18 slides

Search for inspiraling black holes with the LIGO gravitational wave detectors

Alexander Dietz Louisiana State University Inspiral Working Group, LIGO Scientific Collaboration. Search for inspiraling black holes with the LIGO gravitational wave detectors. Outline. Analysis Pipeline Injections & Templates Background Estimate. LIGO Observatories.

212 views • 10 slides

Pipeline Introduction

Pipeline Introduction. Sequential steps of Plugin calls Script calls Cluster jobs Purpose Codifies the process of creating the data set Reduces human resources Reduces human error and omissions. Two Pipeline Types. Resources pipeline Downloads resources from external sources

191 views • 8 slides

Pipeline Introduction

Pipeline Introduction. Sequential steps of Plugin calls Script calls Cluster jobs Purpose Codifies the process of creating the data set Reduces human resources Reduces human error and omissions. Two Pipeline Types. Resources pipeline Downloads resources from external sources

85 views • 8 slides