Welcome, visitor! [ Login

 

J.L. Reed, T.D. Vo, C.H. Schilling, and B.O. Palsson. (2003) An expanded genome scale model of Escherichia coli K-12 (iJR904 GSM/GPR). Genome Biology, 4, R54.1– R54.12.

  • Listed: 10 May 2026 4 h 34 min

Description

J.L. Reed, T.D. Vo, C.H. Schilling, and B.O. Palsson. (2003) An expanded genome scale model of Escherichia coli K-12 (iJR904 GSM/GPR). Genome Biology, 4, R54.1– R54.12.

“J.L. Reed, T.D. Vo, C.H. Schilling, and B.O. Palsson. (2003) An expanded genome scale model of Escherichia coli K-12 (iJR904 GSM/GPR). Genome Biology, 4, R54.1– R54.12.”

This quote, while seemingly cryptic, holds significant importance in the realm of systems biology and genomics. It refers to a seminal research paper published in 2003 by J.L. Reed, T.D. Vo, C.H. Schilling, and B.O. Palsson in the journal Genome Biology. The paper presents an expanded genome-scale model of Escherichia coli K-12, a bacterium commonly used as a model organism in scientific research. The model, denoted as iJR904 GSM/GPR, marks a significant milestone in the field of genomics and systems biology.

The development of the iJR904 model was a groundbreaking achievement, as it provided a comprehensive and detailed representation of the E. coli K-12 genome. This model allows researchers to simulate and predict the behavior of the bacterium’s metabolic network, enabling a deeper understanding of its underlying biological processes. By integrating genomic, transcriptomic, and proteomic data, the iJR904 model has become an invaluable tool for scientists seeking to understand the complexities of cellular metabolism and regulation. The model’s impact extends beyond the realm of basic research, with potential applications in fields such as bioengineering, biotechnology, and pharmacology.

The publication of the iJR904 model has had a lasting impact on the scientific community, with the paper being cited over 2,000 times since its release. The model has been widely used as a reference framework for the study of E. coli and other microorganisms, facilitating the discovery of new biological pathways, metabolic processes, and potential therapeutic targets. Furthermore, the iJR904 model has paved the way for the development of similar genome-scale models for other organisms, including humans. As systems biology and genomics continue to evolve, the importance of such models will only continue to grow, enabling researchers to tackle complex biological questions and develop innovative solutions for pressing medical and environmental challenges.

In the context of genomics and systems biology, the iJR904 model represents a crucial step towards a more comprehensive understanding of cellular biology. By integrating data from various fields, including genomics, transcriptomics, and proteomics, researchers can gain a more complete picture of the intricate relationships between genes, proteins, and metabolic pathways. This, in turn, can lead to the development of novel therapeutic strategies, improved bioengineering techniques, and a better understanding of the complex interactions between organisms and their environments. As we move forward in the era of precision medicine and synthetic biology, the legacy of the iJR904 model will undoubtedly continue to inspire and inform new discoveries, driving progress in fields such as personalized medicine, biotechnology, and environmental engineering.

In conclusion, the quote “J.L. Reed, T.D. Vo, C.H. Schilling, and B.O. Palsson. (2003) An expanded genome scale model of Escherichia coli K-12 (iJR904 GSM/GPR). Genome Biology, 4, R54.1– R54.12” represents a seminal moment in the history of systems biology and genomics. The iJR904 model has had a profound impact on our understanding of cellular biology, paving the way for the development of novel therapeutic strategies, improved bioengineering techniques, and a more comprehensive understanding of the complex interactions between organisms and their environments. As we continue to push the boundaries of scientific knowledge, the legacy of the iJR904 model will undoubtedly remain an essential reference point for researchers and scientists seeking to harness the power of genomics and systems biology to drive innovation and progress.

No Tags

19 total views, 1 today

  

Listing ID: N/A

Report problem

Processing your request, Please wait....

Sponsored Links

 

Dai, L., Wang, J. and Rizos, C. (2001) The role of pseudosatellite signals ...

Dai, L., Wang, J. and Rizos, C. (2001) The role of pseudosatellite signals in precise GPS-based positioning. Journal of Geospatial Engineering, 3(1): 33-44. Okay, I […]

2 total views, 2 today

 

Cramer, M., (2003) Integrated GPS/inertial and digital aerial triangulation...

Cramer, M., (2003) Integrated GPS/inertial and digital aerial triangulation: Recent test results. In: D. Fritsch (Editor), Photogrammetric Week ’03, Herbert Wichmann Verlag, Heidelberg, pp. 161?72. […]

2 total views, 2 today

 

Coleman, T.F. (2006) Optimization Toolbox. The MathWorks, Natick, MA, USA.

Coleman, T.F. (2006) Optimization Toolbox. The MathWorks, Natick, MA, USA. **Coleman, T.F. (2006) Optimization Toolbox. The MathWorks, Natick, MA, USA.** — When you see a […]

2 total views, 2 today

 

Choi, I.K., Wang, J., Han, S. and Rizos, C. (2000) Pseudolites: a new tool ...

Choi, I.K., Wang, J., Han, S. and Rizos, C. (2000) Pseudolites: a new tool for surveyors? 2nd Trans Tasman Survey Congress, Queenstown, New Zealand, pp. […]

1 total views, 1 today

 

Bouska, C.T.J. and Raquet, J.F. (2003) Tropospheric Model Error Reduction i...

Bouska, C.T.J. and Raquet, J.F. (2003) Tropospheric Model Error Reduction in Pseudolite Based Positioning Systems. ION GPS/GNSS 2003, Portland OR, USA, pp. 390-298. “Bouska, C.T.J. […]

2 total views, 2 today

 

Biberger, R.J., Teuber, A., Pany, T. and Hein, G.W. (2003) Development of a...

Biberger, R.J., Teuber, A., Pany, T. and Hein, G.W. (2003) Development of an APL Error Model for Precision Approaches and Validation by Flight Experiments. In: […]

3 total views, 3 today

 

Bernese (1999) Bernese GPS Software Manual, University of Bern.

Bernese (1999) Bernese GPS Software Manual, University of Bern. **Bernese (1999) Bernese GPS Software Manual, University of Bern.** *Unlocking the Power of Precise Positioning: A […]

1 total views, 1 today

 

Barltrop, K.J., Stafford, J.F. and Elrod, B.D. (1996) Local DGPS With Pseud...

Barltrop, K.J., Stafford, J.F. and Elrod, B.D. (1996) Local DGPS With Pseudolite Augmentation and Implementation Considerations for LAAS. In: ION (Editor), GPS, Kassas City MO. […]

1 total views, 1 today

 

Abdullah, Q.A., Hussain, M. and Munjy, R (2002) Airborne GPS-controlled Aer...

Abdullah, Q.A., Hussain, M. and Munjy, R (2002) Airborne GPS-controlled Aerial-triangulation: Theory and Pratical Concepts. ASPRS/ACSM 2002, Washington, DC. Okay, I need to write a […]

2 total views, 2 today

 

Stansell, Jr., T. A. (1986) RTCM CS-104 Recommended Pseudolite Signal Speci...

Stansell, Jr., T. A. (1986) RTCM CS-104 Recommended Pseudolite Signal Specification. Global Positioning System, volume III. **Stansell, Jr., T. A. (1986) RTCM CS-104 Recommended Pseudolite […]

2 total views, 2 today

 

Dai, L., Wang, J. and Rizos, C. (2001) The role of pseudosatellite signals ...

Dai, L., Wang, J. and Rizos, C. (2001) The role of pseudosatellite signals in precise GPS-based positioning. Journal of Geospatial Engineering, 3(1): 33-44. Okay, I […]

2 total views, 2 today

 

Cramer, M., (2003) Integrated GPS/inertial and digital aerial triangulation...

Cramer, M., (2003) Integrated GPS/inertial and digital aerial triangulation: Recent test results. In: D. Fritsch (Editor), Photogrammetric Week ’03, Herbert Wichmann Verlag, Heidelberg, pp. 161?72. […]

2 total views, 2 today

 

Coleman, T.F. (2006) Optimization Toolbox. The MathWorks, Natick, MA, USA.

Coleman, T.F. (2006) Optimization Toolbox. The MathWorks, Natick, MA, USA. **Coleman, T.F. (2006) Optimization Toolbox. The MathWorks, Natick, MA, USA.** — When you see a […]

2 total views, 2 today

 

Choi, I.K., Wang, J., Han, S. and Rizos, C. (2000) Pseudolites: a new tool ...

Choi, I.K., Wang, J., Han, S. and Rizos, C. (2000) Pseudolites: a new tool for surveyors? 2nd Trans Tasman Survey Congress, Queenstown, New Zealand, pp. […]

1 total views, 1 today

 

Bouska, C.T.J. and Raquet, J.F. (2003) Tropospheric Model Error Reduction i...

Bouska, C.T.J. and Raquet, J.F. (2003) Tropospheric Model Error Reduction in Pseudolite Based Positioning Systems. ION GPS/GNSS 2003, Portland OR, USA, pp. 390-298. “Bouska, C.T.J. […]

2 total views, 2 today

 

Biberger, R.J., Teuber, A., Pany, T. and Hein, G.W. (2003) Development of a...

Biberger, R.J., Teuber, A., Pany, T. and Hein, G.W. (2003) Development of an APL Error Model for Precision Approaches and Validation by Flight Experiments. In: […]

3 total views, 3 today

 

Bernese (1999) Bernese GPS Software Manual, University of Bern.

Bernese (1999) Bernese GPS Software Manual, University of Bern. **Bernese (1999) Bernese GPS Software Manual, University of Bern.** *Unlocking the Power of Precise Positioning: A […]

1 total views, 1 today

 

Barltrop, K.J., Stafford, J.F. and Elrod, B.D. (1996) Local DGPS With Pseud...

Barltrop, K.J., Stafford, J.F. and Elrod, B.D. (1996) Local DGPS With Pseudolite Augmentation and Implementation Considerations for LAAS. In: ION (Editor), GPS, Kassas City MO. […]

1 total views, 1 today

 

Abdullah, Q.A., Hussain, M. and Munjy, R (2002) Airborne GPS-controlled Aer...

Abdullah, Q.A., Hussain, M. and Munjy, R (2002) Airborne GPS-controlled Aerial-triangulation: Theory and Pratical Concepts. ASPRS/ACSM 2002, Washington, DC. Okay, I need to write a […]

2 total views, 2 today

 

Stansell, Jr., T. A. (1986) RTCM CS-104 Recommended Pseudolite Signal Speci...

Stansell, Jr., T. A. (1986) RTCM CS-104 Recommended Pseudolite Signal Specification. Global Positioning System, volume III. **Stansell, Jr., T. A. (1986) RTCM CS-104 Recommended Pseudolite […]

2 total views, 2 today