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Systems & Synthetic Biology - SYSBIONielsen's Lab for Systems Biology at Chalmers
http://www.sysbio.se/
Nielsen's Lab for Systems Biology at Chalmers
http://www.sysbio.se/
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Systems & Synthetic Biology - SYSBIO | sysbio.se Reviews
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Nielsen's Lab for Systems Biology at Chalmers
sysbio.se
Mijakovic Lab
http://www.sysbio.se/Lab_Mijakovic/IM_lab.html
Department of Biology and Biological Engineering,. Chalmers University of Technology,. Kemivägen 10, SE-412 96 Göteborg, Sweden. 46 (0)70 982 8446. IvanMijakovic [at] chalmers.se. We are interested in signaling and regulation in bacterial cells, focusing in particular on regulatory phenomena based on protein phosphorylation. Most of our research activities are carried out on. A model organism for Firmicutes. We are implementing a wide array of metabolic engineering tools in order to optimize. Jens Nielse...
Larsson Lab
http://www.sysbio.se/Lab_Larsson/lab_larsson.html
Department of Biology and Biological Engineering,. Chalmers University of Technology,. Kemivägen 10, SE-412 96 Göteborg, Sweden. Christer.larsson [at] chalmers.se. Optimization of industrial ethanol production. Christer Larsson (Project leader), Emma Johansson (Ph.D. student), Venkata Soudham (Ph.D. student). Optimization of ethylene production by metabolic engineering of the yeast. Can be transformed into a producer of ethylene by the insertion of a bacterial ethylene forming enzyme (Pirkov. 2008) The m...
News
http://www.sysbio.se/news.html
Jens Nielsen talks about microbiota for STAT. A Boston Globe Media magazine. Nielsen and Keasling review in Cell. Jens Nielsen about mentorship in journal Cell. Jens Nielsen receives the Novozymes Prize 2016. Thompson Reuters lists Jens Nielsen among all disciplines as highly cited researcher in 2015. Dina Petranovic organizes visit of departmental researchers to Innovatum centre. Jens Nielsen receives the Zhang Dayu Lectureship from Dalian Institute of Chemical Physics. Click here to see the video.
Nielsen Lab - SYSBIO
http://www.sysbio.se/Lab_Nielsen/lab_nielsen.html
Department of Biology and Biological Engineering,. Chalmers University of Technology,. Kemivägen 10, SE-412 96 Göteborg, Sweden. 46 (0)31 772 3804. Nielsenj [at] chalmers.se. Our research focus is on systems biology of metabolism. The yeast Saccharomyces cerevisiae is our key organism for experimental research, but we also have experimental research on Aspergilli oryzae. Interview about some of our work. Our research activities fall in three areas:. Developing metabolic models for Eukaryal cells, includi...
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HMA: HMR
http://www.metabolicatlas.com/downloads/hmr
Human related microbial models. Human Metabolic Reaction (HMR). The Human Metabolic Reaction (HMR) is a genome-scale metabolic model for the generic human cell. In its latest version (HMR2), it contains 3'765 genes associated with over 8'000 reactions and over 3'000 unique metabolites. For simulation purposes in MATLAB, the authors recommend to import the SBML file using the RAVEN Toolbox function importModel (see remark). HMR 2(COBRA-friendly SBML format). This tool is under review.
yStreX - Yeast stress expression database
http://www.ystrexdb.com/start.php
There are mainly two approaches to query the data:. Query by gene: using a gene or a set of genes (systematic name, gene symbol or alias) to retrieve conditions where the expression of the gene(s) is significantly changed, in relation to the control condition. Basic search by gene accepts a gene input with default cut-off log2FC 1 and adj. p-val. We provide two examples to illustrate two query options and different features of the database. Chalmers University of Technology.
HMA: Cell lines models
http://www.metabolicatlas.com/downloads/cell
Human related microbial models. For using Human cancer cell lines, please refer to " Identifying anti-growth factors for human cancer cell lines through genome-scale metabolic modeling, Sci Rep. Download in compressed SBML format. Reconstruction, Analysis, and Visualization of Metabolic Networks) is publicly available for analysis, simulation, and visualization of GEMs and runs within MATLAB. Chalmers University of Technology Department of Biology and Biological Engineering Sys.
HMA: INIT cancer cell
http://www.metabolicatlas.com/downloads/initcan
Human related microbial models. INIT models of cancer cell. INIT models are automatically generated Genome-Scale Metabolic Models for different human cancers. The first version models (r1) were generated for 16 different human cancers [ 1. In a study of clear cell renal carcinomas the INIT algorithm was used to generated revised models (r3) for 5 different cancers from Human Protein Atlas v11 data [ 3. Please refer to this note for using cancer genome-scale metabolic models from [ 3. Head and neck cancer.
HMA: Atlas
http://www.metabolicatlas.com/atlas
Human related microbial models. Central nervous system 11. Cerebral cortex Neuronal cells. Cerebral cortex Endothelial cells. Cerebral cortex Glial cells. Lateral ventricle Neuronal cells. Lateral ventricle Glial cells. Cerebellum Cells in granular layer. Cerebellum Cells in molecular layer. Blood and immune system 8. Bone marrow Hematopoietic cells. Lymph node Germinal center cells. Lymph node Non-germinal center cells. Tonsil Germinal center cells. Tonsil Non-germinal center cells. Liver and pancreas 5.
HMA: HMR
http://www.metabolicatlas.org/downloads/hmr
Human related microbial models. Human Metabolic Reaction (HMR). The Human Metabolic Reaction (HMR) is a genome-scale metabolic model for the generic human cell. In its latest version (HMR2), it contains 3'765 genes associated with over 8'000 reactions and over 3'000 unique metabolites. For simulation purposes in MATLAB, the authors recommend to import the SBML file using the RAVEN Toolbox function importModel (see remark). HMR 2(COBRA-friendly SBML format). This tool is under review.
HMA: INIT cancer cell
http://www.metabolicatlas.org/downloads/initcan
Human related microbial models. INIT models of cancer cell. INIT models are automatically generated Genome-Scale Metabolic Models for different human cancers. The first version models (r1) were generated for 16 different human cancers [ 1. In a study of clear cell renal carcinomas the INIT algorithm was used to generated revised models (r3) for 5 different cancers from Human Protein Atlas v11 data [ 3. Please refer to this note for using cancer genome-scale metabolic models from [ 3. Head and neck cancer.
HMA: Curated model
http://www.metabolicatlas.org/downloads/curate
Human related microbial models. Genome-scale metabolic model for adipocytes, iAdipocytes1809. For using iAdipocytes1809, please refer to " Integration of clinical data with a genome-scale metabolic model of the human adipocyte, Molecular Systems Biology 9 Article number: 649 doi:10.1038/msb.2013.5". Download in compressed SBML format. Defining the human adipose tissue proteome to reveal metabolic alterations in obesity. J Proteome Res. Genome-scale metabolic model for hepatocyte, iHepatocytes2322.
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Home | Systems Biology Laboratory at IMBG
Systems Biology Laboratory at IMBG. Maria Yu. Obolens'ka. Professor, Dr. Sci. (Mol. Biol.). Tel: (380-44) 526-31-39;. Fax: (380-44) 526-07-59;. Whole genome search for target genes of transcription factors. Modeling of metabolic pathways. Gene expression and its regulation in eukaryot. Systemic analysis of non-canonical functions of interferon alpha:. Target genes of interferon alpha. Gene expression profiling in rat hepatocytes treated with interferon. Ene expression in the. Target genes at p. Investiga...
Welcome to the Oxford Centre for Integrative Systems Biology website — OCISB
Oxford Centre for Integrative Systems Biology. 13; University of Oxford. 13; South Parks Road. 13; Oxford OX1 3QU. 13; Tel: 44 (0)1865 613300. 13; Fax: 44 (0)1865 613338. 13; . 13; Employment. 13; . 13; . 13; . 13; . 13; Graduate. 13; . 13; . 13; . 13; . 13; Fellowships. 13; . 13; . 13; . 13; . 13; . 13; Vacation Studentships. 13; . 13; . 13; . Welcome to the Oxford Centre for Integrative Systems Biology website.
Oxford Journals | Science & Mathematics | Systematic Biology
View Current Issue (Volume 64 Issue 4 July 2015). Is the bimonthly journal of the Society of Systematic Biologists. Papers for the journal are original contributions to the theory, principles, and methods of systematics as well as phylogeny, evolution, morphology, biogeography, paleontology, genetics, and the classification of all living things. A Points of View section offers a forum for discussion, while book reviews and announcements of general interest are also featured. Have your say about SSB!
SysBio.PL Group
And focusing on the dynamics of biochemical reaction networks. We develop the STOCKS software for the stochastic kinetic simulations of biochemical systems. We frequently collaborate with experimental groups.
DOE Notice to Users Regarding Authorized Use of Computer Systems
Welcome to sysbio.pnl.gov. You have reached the default. Site page for this system. This is a Federal computer system and is the property of the United States Government. It. Is for authorized use only. Users (authorized or unauthorized) have no explicit or implicit. Any or all uses of this system and all files on this system may be intercepted, monitored,. Recorded, copied, audited, inspected, and disclosed to authorized site, Department of Energy,. Department of Energy personnel.
Systems & Synthetic Biology - SYSBIO
The division of Systems and Synthetic Biology is part of the new Department of Biology and Biological Engineering. Systems and Synthetic Biology is headed by Professor Jens Nielsen and is composed of several labs and faculty. Each lab has a leader who is responsible for directing particular research themes. The lab and computational facilities are shared among all members of Systems and Synthetic Biology. Our lab is focused on understanding the physiology and metabolic regulation in the yeast. Jens Niels...
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IPC, by Bairong Shen and Qinghui Li. IOD, by Bairong Shen and Yifei Tang. PPSC, by Bairong Shen, Yang Yang and Biao Chen. By Bairong Shen, Chunjiang Yu and Wentao Wu. HPC-PPIC(Integrative analysis reveals disease-associated genes and biomarkers for prostate cancer progression).
SYS BIO: Systems Biology - BioInformatics - Computational Biology
SYS BIO: Systems Biology - BioInformatics - Computational Biology. SYS BIO: Systems Biology - BioInformatics - Computational Biology. SYS BIO: Systems Biology - BioInformatics - Computational Biology. SYS BIO: Systems Biology - BioInformatics - Computational Biology. SYS BIO: Systems Biology - BioInformatics - Computational Biology. SYS BIO: Systems Biology - BioInformatics - Computational Biology. SYS BIO: Systems Biology - BioInformatics - Computational Biology.
Medical Systems Biology - Research
April 14, 2015, 10:10. The rapid development of molecular biology has given rise to an increasing demand in computational and mathematical approaches to analyze and understand the resulting data. In particular, advanced methods from Bioinformatics. Are required to extract and investigate the essential information from high-throughput experiments, such as microarrays or Next Generation Sequencing. The emerging field of Systems Biology. Statistical and data mining approaches. Powered by CMSimple XH.
Systems Biology Laboratory of Chi Zhang
Welcome to Chi Zhang's Systems Biology Lab. The research of this lab mainly focuses on Computational Systems Biology and Bioinformatics. Our interest covers broad area including protein structure modeling, protein-ligand binding prediction, biological network analyses, high-throughput biological data analyses, in silico studies of interactions between pathogens and plant cells and gene/protein interaction network in plant cells and many more. This page has been accessed. Times since September, 2009.
