Abstract
Microarray technology enables researchers to investigate the expression of several thousand genes simultaneously. The whole transcriptional response of these genes in normal cells or tissue, in disease condition, as an response to biological, genetical or chemical stimuli or during normal biological processes such as cell cycle or embryonic development can be investigated. This leads to a huge amount of data, from which the relevant information has to be extracted by statistical and computational methods. Several software packages for the analysis of gene expression data are available, both commercially and freely. They differ particularly with regard to the implemented analytical methods, the graphical display and the manageability. In this paper the commercial software packages arraySCOUT, GeneSpring and Spotfire DecisionSite for Functional Genomics are compared and their applicability for analysis of gene expression data is studied. Small artificial and application test datasets are used to compare the computational results of the software packages. As far as possible results are verified with standard statistical software package SAS.
Keywords: microarray, software package, gene expression analysis, expression profiling
Current Pharmaceutical Biotechnology
Title: Software Packages for Quantitative Microarray-Based Gene Expression Analysis
Volume: 4 Issue: 6
Author(s): I. M. Gana Dresen, J. Husing, E. Kruse, T. Boes and K.- H. Jockel
Affiliation:
Keywords: microarray, software package, gene expression analysis, expression profiling
Abstract: Microarray technology enables researchers to investigate the expression of several thousand genes simultaneously. The whole transcriptional response of these genes in normal cells or tissue, in disease condition, as an response to biological, genetical or chemical stimuli or during normal biological processes such as cell cycle or embryonic development can be investigated. This leads to a huge amount of data, from which the relevant information has to be extracted by statistical and computational methods. Several software packages for the analysis of gene expression data are available, both commercially and freely. They differ particularly with regard to the implemented analytical methods, the graphical display and the manageability. In this paper the commercial software packages arraySCOUT, GeneSpring and Spotfire DecisionSite for Functional Genomics are compared and their applicability for analysis of gene expression data is studied. Small artificial and application test datasets are used to compare the computational results of the software packages. As far as possible results are verified with standard statistical software package SAS.
Export Options
About this article
Cite this article as:
Dresen M. Gana I., Husing J., Kruse E., Boes T. and Jockel H. K.-, Software Packages for Quantitative Microarray-Based Gene Expression Analysis, Current Pharmaceutical Biotechnology 2003; 4 (6) . https://dx.doi.org/10.2174/1389201033377436
DOI https://dx.doi.org/10.2174/1389201033377436 |
Print ISSN 1389-2010 |
Publisher Name Bentham Science Publisher |
Online ISSN 1873-4316 |
- Author Guidelines
- Graphical Abstracts
- Fabricating and Stating False Information
- Research Misconduct
- Post Publication Discussions and Corrections
- Publishing Ethics and Rectitude
- Increase Visibility of Your Article
- Archiving Policies
- Peer Review Workflow
- Order Your Article Before Print
- Promote Your Article
- Manuscript Transfer Facility
- Editorial Policies
- Allegations from Whistleblowers
Related Articles
-
Concomitant Diagnosis of Fibromyalgia and Ankylosing Spondylitis: Relation to Clinical Features and Plasma Pentraxin -3 Level
Current Rheumatology Reviews Curcumin and Genistein: the Combined Effects on Disease-associated CFTR Mutants and their Clinical Implications
Current Pharmaceutical Design Dopamine Administration in Very Low Birth Weight Preterm Infants:Emerging Issues on Endocrine Effects
Current Pediatric Reviews Separation of Peptides and Proteins by Countercurrent Chromatography
Current Proteomics Editorial: Smart Drug Delivery Systems (Part 1)
Current Drug Targets Anti-Alzheimer Therapeutic Drugs Targeting γ-Secretase
Current Topics in Medicinal Chemistry Hematopoietic Growth Factors Support in the Elderly Cancer Patients Treated with Antiblastic Chemotherapy
Anti-Cancer Agents in Medicinal Chemistry Chest Pain in Children
Current Pediatric Reviews The Effect of Aerobic Exercise on Quantity and Quality of Sleep Among Elderly People Referring to Health Centers of Lar City, Southern of Iran; A Randomized Controlled Clinical Trial
Current Aging Science Diversity of Senile Plaques in Alzheimers Disease as Revealed by a New Monoclonal Antibody that Recognizes an Internal Sequence of the Aβ Peptide
Current Alzheimer Research Purification and Partial Characterization of a Lectin from Canavalia Grandiflora Benth. Seeds
Protein & Peptide Letters Effect of Red Wine Polyphenols on the Expression of Transthyretin in Murine Choroid Plexus
Current Pharmaceutical Biotechnology Meet Our Editorial Member
Current Alzheimer Research Current & Future Therapies of Erectile Dysfunction in Neurological Disorders
Recent Patents on CNS Drug Discovery (Discontinued) From Treatment Adherence to Advanced Shared Decision Making: New Professional Strategies and Attitudes in Mental Health Care
Current Clinical Pharmacology Aberrant Neuronal Activity and Dysfunctional Connectivity in Aβ<sub>1–42</sub>- mediated Memory Deficits in Rats
Current Alzheimer Research Patent Selections :
Recent Patents on Biomarkers The Impact of Methodology and Confounding Variables on the Association Between Major Depression and Coronary Heart Disease: Review and Recommendations
Current Psychiatry Reviews Interconnection of Estrogen/Testosterone Metabolism and Mevalonate Pathway in Breast and Prostate Cancers
Current Molecular Pharmacology Dissecting the Biological Effects of Isoflurane through the Mechanistic Target of Rapamycin (mTOR) and microRNAs (miRNAs)
Current Neurovascular Research