• No results found

Bioinformatics Engineering Program Uppsala University School of Engineering

N/A
N/A
Protected

Academic year: 2022

Share "Bioinformatics Engineering Program Uppsala University School of Engineering"

Copied!
1
0
0

Loading.... (view fulltext now)

Full text

(1)

Bioinformatics Engineering Program

Uppsala University School of Engineering

UPTEC X 10 002 Date of issue 2010-02

Author

Martin Dahlö

Title (English)

Bioinformatic analysis of RNA data from large-scale sequencing of adenovirus infected human cells

Title (Swedish)

Abstract

The gene usage in adenovirus infected human cells was compared to the gene usage in uninfected cells. This was done by studying the mRNA levels in the cells. The mRNA was extracted, sequenced and aligned to a human reference genome, and changes in coverage between the samples were found.

Keywords

Differential expression, mRNA, R, Bowtie, adenovirus, Solexa, time series, data analysis, human cells

Supervisors

Anders Isaksson

Uppsala universitet Scientific reviewer

Hans Ellegren

Uppsala universitet

Project name Sponsors

Language

English Security

ISSN 1401-2138 Classification

Supplementary bibliographical information

Pages

17

Biology Education Centre Biomedical Center Husargatan 3 Uppsala

Box 592 S-75124 Uppsala Tel +46 (0)18 4710000 Fax +46 (0)18 471 4687

References

Related documents

This degree project involved the implementation of various reports to study the dose-response relationship, as well as preparing a general system for data extraction to 3rd

Multiplex ligation dependent genome amplification (MLGA) is a novel method for the multiplex targeted measurement and validation of genetic copy-number variations (CNVs). A

Datex II is a European standard used for exchange of traffic data that the Swedish Road Administration (SRA) uses to supply its service providers with relevant information

This thesis work investigates the effects of microsomal Prostaglandin E Synthase-1 (mPGES- 1) inhibition on the functional activity of synovial fibroblasts from patients with

A new method for making such estimates is presented here based on splitting the data in several bags and estimating the error rate by training many classifiers on new data drawn

The aim of this thesis is to develop a process for the selection of a target for the identification of microorganisms using the so-called padlock probes, and to design and implement a

In this study the performance of four classification algorithms; k-Nearest Neighbors, Linear Discriminant Analysis, Support Vector Machine and Random Forest was analysed when

A text extraction tool was implemented on the .NET platform with functionality for preprocessing text (removal of stop words, Porter stemming and use of synonyms) and matching