Abstract
Genomics can be broadly defined as the systematic study of genes, their functions, and their interactions. Analogously, proteomics is the study of proteins, protein complexes, their localization, their interactions, and posttranslational modifications. Some years ago, genomics and proteomics studies focused on one gene or one protein at a time. With the advent of high-throughput technologies in biology and biotechnology, this has changed dramatically. We are currently witnessing a paradigm shift from a traditionally hypothesis-driven to a data-driven research. The activity and interaction of thousands of genes and proteins can now be measured simultaneously. Technologies for genome- and proteome-wide investigations have led to new insights into mechanisms of living systems. There is a broad consensus that these technologies will revolutionize the study of complex human diseases such as Alzheimer syndrome, HIV, and particularly cancer. With its ability to describe the clinical and histopathological phenotypes of cancer at the molecular level, gene expression profiling based on microarrays holds the promise of a patient-tailored therapy. Recent advances in high-throughput mass spectrometry allow the profiling of proteomic patterns in biofluids such as blood and urine, and complement the genomic portray of diseases.
| Original language | English |
|---|---|
| Title of host publication | Fundamentals of Data Mining in Genomics and Proteomics |
| Publisher | Springer US |
| Pages | 1-37 |
| Number of pages | 37 |
| ISBN (Print) | 9780387475097, 0387475087, 9780387475080 |
| DOIs | |
| Publication status | Published - 2007 |
| Externally published | Yes |
ASJC Scopus subject areas
- Medicine(all)
Cite this
Introduction to genomic and proteomic data analysis. / Berrar, Daniel; Granzow, Martin; Dubitzky, Werner.
Fundamentals of Data Mining in Genomics and Proteomics. Springer US, 2007. p. 1-37.Research output: Chapter in Book/Report/Conference proceeding › Chapter
}
TY - CHAP
T1 - Introduction to genomic and proteomic data analysis
AU - Berrar, Daniel
AU - Granzow, Martin
AU - Dubitzky, Werner
PY - 2007
Y1 - 2007
N2 - Genomics can be broadly defined as the systematic study of genes, their functions, and their interactions. Analogously, proteomics is the study of proteins, protein complexes, their localization, their interactions, and posttranslational modifications. Some years ago, genomics and proteomics studies focused on one gene or one protein at a time. With the advent of high-throughput technologies in biology and biotechnology, this has changed dramatically. We are currently witnessing a paradigm shift from a traditionally hypothesis-driven to a data-driven research. The activity and interaction of thousands of genes and proteins can now be measured simultaneously. Technologies for genome- and proteome-wide investigations have led to new insights into mechanisms of living systems. There is a broad consensus that these technologies will revolutionize the study of complex human diseases such as Alzheimer syndrome, HIV, and particularly cancer. With its ability to describe the clinical and histopathological phenotypes of cancer at the molecular level, gene expression profiling based on microarrays holds the promise of a patient-tailored therapy. Recent advances in high-throughput mass spectrometry allow the profiling of proteomic patterns in biofluids such as blood and urine, and complement the genomic portray of diseases.
AB - Genomics can be broadly defined as the systematic study of genes, their functions, and their interactions. Analogously, proteomics is the study of proteins, protein complexes, their localization, their interactions, and posttranslational modifications. Some years ago, genomics and proteomics studies focused on one gene or one protein at a time. With the advent of high-throughput technologies in biology and biotechnology, this has changed dramatically. We are currently witnessing a paradigm shift from a traditionally hypothesis-driven to a data-driven research. The activity and interaction of thousands of genes and proteins can now be measured simultaneously. Technologies for genome- and proteome-wide investigations have led to new insights into mechanisms of living systems. There is a broad consensus that these technologies will revolutionize the study of complex human diseases such as Alzheimer syndrome, HIV, and particularly cancer. With its ability to describe the clinical and histopathological phenotypes of cancer at the molecular level, gene expression profiling based on microarrays holds the promise of a patient-tailored therapy. Recent advances in high-throughput mass spectrometry allow the profiling of proteomic patterns in biofluids such as blood and urine, and complement the genomic portray of diseases.
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UR - http://www.scopus.com/inward/citedby.url?scp=84919846358&partnerID=8YFLogxK
U2 - 10.1007/978-0-387-47509-7-1
DO - 10.1007/978-0-387-47509-7-1
M3 - Chapter
AN - SCOPUS:84919846358
SN - 9780387475097
SN - 0387475087
SN - 9780387475080
SP - 1
EP - 37
BT - Fundamentals of Data Mining in Genomics and Proteomics
PB - Springer US
ER -