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Analysis of RNA-Seq Data with Partek® Genomics Suite® 6.6
Analysis of RNA Seq Data with Partek Genomics Suite 6 6 Software Overview RNA Seq is a high throughput sequencing technology used to generate information about a sample s RNA content Partek Genomics Suite offers convenient visualization and analysis of the high volumes of data generated by RNA Seq experiments This tutorial will illustrate how to Import large next gen data sets e Add attribute data to your files e Visualize large next gen data sets e Obtai |
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Visualizations of Next Generation Sequencing Data in Partek
Visualizations of Next Generation Sequencing Data in Partek Genomics Suite 6 6 This tutorial will illustrate how to e Visualize RPKM values for each sample in RNA Seq workflow e Visualize allele specific expression This tutorial assumes the user is familiar with the hierarchy of spreadsheets and analysis in Partek Genomics Suite PGS More details about customizing plots can be found in Chapter 6 of the Partek On line Documentation available from Help gt User |
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Partek® Express
Copyright Copyright 1993 2010 by Partek Incorporated The software described in this document is furnished under a license agreement The software may be under the terms of the license agreement No part of this manual may be reproduced in any form consent from Partek Incorporated Licensee shall prevent and not permit any third parties perso Information Partek Partek Pro Partek Express Partek Analytical Spreadsheet and Pattern Visuali trademarks of Partek Incorpor |
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User Guide: Small RNA pipeline for Ion Torrent™ in Partek® Flow®
User Guide Small RNA pipeline for lon Torrent in Partek Flow This is a guide to the analysis of microRNA Next Generation Sequencing data using the Small RNA pipeline for lon Torrent in the Partek Flow software It covers the following e Overview of the pipeline e Files required for the pipeline e Library file management e Creating a project in Partek Flow e Assigning attributes to samples e Importing the pipeline into Partek Flow e Running the pipeline |
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Alternative Splice Analysis of Exon Data in Partek Genomics Suite
Alternative Splicing Analysis of Exon Array Data using Partek Genomics Suite 6 6 Overview This tutorial will demonstrate how to e Perform exploratory analysis using a PCA scatter plot e Identify genes that undergo differential expression and alternative splicing e Visualize exon expression patterns in a gene viewer Note the workflow described below is enabled in Partek version 6 6 Please contact the Partek Licensing Team at licensing partek com to request this versi |
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Chapter 1 Survival Analysis in Partek® Genomics Suite™ 6.6
Chapter 1 Survival Analysis in Partek Genomics Suite 6 6 This tutorial will illustrate how to e Compare the survival rates in two groups e Visualize the Kaplan Meier survival curves e Assess the impact of gene expression values on survival probabilities by Cox regression Survival analysis is a branch of statistics which deals with modeling of time to event In the context of survival the most common event studied is death although any other important biological |
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FAQ - Partek Inc.
sisisi Partek turning data into discovery Frequently Asked Questions These Frequently Asked Questions are some of the more common questions our customers ask Questions are divided into several categories for ease of use If you do not find the answer you are looking for please contact our Technical Support Team by phone at 1 314 878 2329 between 8 am 5 pm U S Central Time or by email support partek com at any time We strive to answer all support request |
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Copy Number Analysis in Partek® Genomics Suite™ 6.6
Copy Number Analysis in Partek Genomics Suite 6 6 Introduction At a simple level copy number analysis can be thought of as a gene dosage question where are the regions of the genome that have altered abundances increased or decreased Furthermore what genetic elements are in those regions and how might a change in the abundance of the genes in those chromosomal regions affect phenotypes To answer those questions the copy number analysis workflow in Partek Geno |
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Analyzing Treatment and Time in Partek: A Breast Cancer Study
Analyzing the Effect of Treatment and Time on Gene Expression in Partek Genomics Suite PGS 6 6 A Breast Cancer Study The data for this study is taken from experiment GSE848 from the Gene Expression Omnibus http www ncbi nlm nih gov geo This study looks at the effects of four different drug treatment combinations at two time points on estrogen receptor positive breast cancer cells This experiment was performed using Affymetrix GeneChip Human U95A The study inclu |
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