sysbio.curie.fr

Computational Systems Biology of Cancer team at Institut Curie

Computational Systems Biology of Cancer group. We are a team of researchers from various disciplines (mathematics, physics, biology, computer science) embedded into a large cancer research center, Institut Curie. Exists since 2008 as a part of INSERM U900 bioinformatics and computational biology of cancer unit. Mathematical modeling of cell fate decisions. Integrative analysis of omics data for cancer research. We perform integrative analysis of omics data in cancer biology, using a variety of suitable u...

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Computational Systems Biology of Cancer team at Institut Curie | sysbio.curie.fr Reviews

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Computational Systems Biology of Cancer group. We are a team of researchers from various disciplines (mathematics, physics, biology, computer science) embedded into a large cancer research center, Institut Curie. Exists since 2008 as a part of INSERM U900 bioinformatics and computational biology of cancer unit. Mathematical modeling of cell fate decisions. Integrative analysis of omics data for cancer research. We perform integrative analysis of omics data in cancer biology, using a variety of suitable u...

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1 people

2 publications

3 projects

4 tools

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6 sysbiocurie twitter

7 tweets by @sysbiocurie

8 formalizing biological knowledge

9 open positions

10 organizing workshops

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Computational Systems Biology of Cancer team at Institut Curie | sysbio.curie.fr Reviews

https://sysbio.curie.fr

Computational Systems Biology of Cancer group. We are a team of researchers from various disciplines (mathematics, physics, biology, computer science) embedded into a large cancer research center, Institut Curie. Exists since 2008 as a part of INSERM U900 bioinformatics and computational biology of cancer unit. Mathematical modeling of cell fate decisions. Integrative analysis of omics data for cancer research. We perform integrative analysis of omics data in cancer biology, using a variety of suitable u...

INTERNAL PAGES

sysbio.curie.fr

1

Computational Systems Biology of Cancer group | Mathematical modeling of pathways

https://sysbio.curie.fr/mathmodeling.html

Mathematical modeling of cell fate decisions to understand cancer biology. A model facilitates the formalisation of our knowledge: it aims at describing biological phenomena in a formal and unambiguous way; it recapitulates (integrates all facts) and summarises (provides concise description) what is known about a biological process; it allows the identification and the listing of the key players and mechanisms involved in a process; it also provides a way to visualise biological data;. A model formulates...

2

Computational Systems Biology of Cancer group | Tools

https://sysbio.curie.fr/software.html

Tools developed by us. Tools for network structure analysis, browsing and simulations:. ACSN: Atlas of Cancer Signaling Network. ACSN is a pathway database and a web-based environment that contains a collection of interconnected cancer-related signalling network maps and allows omics data visualization and analysis. Link to the tool page. NaviCell: browsing large networks using Google Maps. A web tool and a web service for exploring large maps of molecular interactions and visualizing data on top of them.

3

Computational Systems Biology of Cancer group | Integrative omics data analysis

https://sysbio.curie.fr/dataanalysis.html

Integrative analysis of omics data for cancer research. Bonnet E, Viara E, Kuperstein I, Calzone L, Cohen DP, Barillot E, Zinovyev A. NaviCell Web Service for network-based data visualization. 2015 Nucleic Acids Res. 43(W1):W560-5. Cell Reports. 2014. 9(4):1235-45. November 2014 7000 tumoral transcriptomes analysed using ICA. Zinovyev A., Kairov U., Karpenyuk T., Ramanculov E. Blind Source Separation Methods For Deconvolution Of Complex Signals In Cancer Biology. 2009 PLoS ONE 4(3):e4932.

4

Publications

https://sysbio.curie.fr/publications.html

1 Jdey W, Thierry S, Russo C, Devun F, Al Abo M, Noguiez-Hellin P, Sun JS, Barillot E, Zinovyev A, Kuperstein I, Pommier Y, Dutreix M. Drug Driven Synthetic Lethality: bypassing tumor cell genetics with a combination of Dbait and PARP inhibitors. Clin Cancer Res. 2016, pii: clincanres.1193.2016. [Epub ahead of print]. 2 Boeva V. Analysis of Genomic Sequence Motifs for Deciphering Transcription Factor Binding and Transcriptional Regulation in Eukaryotic Cells. Front Genet. 2016. 7:24. Review. 7 Martignett...

5

Computational Systems Biology of Cancer team at Institut Curie

https://sysbio.curie.fr/index.html

Computational Systems Biology of Cancer group. We are a team of researchers from various disciplines (mathematics, physics, biology, computer science) embedded into a large cancer research center, Institut Curie. Exists since 2008 as a part of INSERM U900 bioinformatics and computational biology of cancer unit. Mathematical modeling of cell fate decisions. Integrative analysis of omics data for cancer research. We perform integrative analysis of omics data in cancer biology, using a variety of suitable u...

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blastim.ru

Postdoctoral position for high-throughput data analysis | Бластим

http://blastim.ru/job/postdoctoral-position-for-high-throughput-data-analysis

Консультация Карьера в науке для студентов и аспирантов. Postdoctoral position for high-throughput data analysis. Постдок или научный сотрудник. A computational biologist/biostatistician position is open at Institut Curie, Paris ( http:/ www.curie.fr. A major cancer research and treatment institute, located in the center of Paris. The successful candidate will work in the Department of "Bioinformatics and Computational Systems Biology of Cancer" (U900 Department, http:/ u900.curie.fr. A joint Unit formed...

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SysBioCurie

OTHER SITES

sysbio.caltech.edu

Systems Biology at Caltech

A newly metamorphosed sea urchin juvenile in which juvenile spines and pedicellaria are positioned with 5-fold radial symmetry (Davidson Lab). Drosophila embryo cross-sections showing localized gene expression which specifies distinct tissues (Stathopoulos lab). Tightly knit: A close-up on tissue-engineered cardiac muscle reveals an organized network of actin fibrils (green) that embeds the the cell nuclei (blue). Jellyfish Muscle and Nerves. Network Biology, Genomics and Computational Biology. Our goal ...

sysbio.ces.kyutech.ac.jp

中茎研究室

例えば、ヒトの細胞では、約10万種類ものタンパク質が多様な働きをし、細胞の維持、成長、増殖、分化、死アポトーシスを厳密に制御しています。タンパク質を部品と考えると、その種類は自動車以上であり、システムの複雑さは航空機を凌駕します。情報信号処理は、タンパク質によって実装されているため、私たちがよく知っている電気システムにおける回路とは見た目は違います。しかし、その動作原理は類似していることが分かってきたため、情報信号処理の動作原理を探求する制御工学を用いて研究に取り組んでいます。私たちは、メカトロニクスにおける制御理論に対し、分子ロボットにおける制御理論の構築を目指しています。ハーバードに参加し、Project Award: Bronzeを受賞. ICROS SICE Kyushu Chapter 1st Joint Workshop. ハーバードに参加し、Project Award: Silverを受賞. 第6回マイクロナノ工学シンホシウム. SICE Workshop 中国杭州で研究発表を行いました.

sysbio.chula.ac.th

CU Systems Biology Center

Chulalongkorn University Systems Biology Center. Four core research areas exploited in our center includes:. State-of-art technologies to profile and quantify global proteome and post-translational modification (PTM) changes in a high throughput manner using a combination of stable isotope labeling techniques, PTM enrichment strategies, orthogonal high pH reversed-phase peptide fractionation, and a high-resolution orbitrap mass spectrometer. Computational biology and bioinformatics. Meet the awesome team.

sysbio.com

sysbio.com - This website is for sale! - sys bio Resources and Information.

The domain sysbio.com. May be for sale by its owner! The domain sysbio.com. May be for sale by its owner! This page provided to the domain owner free. By Sedo's Domain Parking. Disclaimer: Domain owner and Sedo maintain no relationship with third party advertisers. Reference to any specific service or trade mark is not controlled by Sedo or domain owner and does not constitute or imply its association, endorsement or recommendation.

sysbio.commons.yale-nus.edu.sg

Yale-NUS Computational and Systems Biology Group | Just another Yale-NUS Commons site

Yale-NUS Computational and Systems Biology Group. Just another Yale-NUS Commons site. Skip to primary content. Skip to secondary content. August 12, 2014. Welcome to Yale-NUS Commons. This is your first post. Edit or delete it, then start blogging! Proudly powered by WordPress.

sysbio.curie.fr

Computational Systems Biology of Cancer team at Institut Curie

Computational Systems Biology of Cancer group. We are a team of researchers from various disciplines (mathematics, physics, biology, computer science) embedded into a large cancer research center, Institut Curie. Exists since 2008 as a part of INSERM U900 bioinformatics and computational biology of cancer unit. Mathematical modeling of cell fate decisions. Integrative analysis of omics data for cancer research. We perform integrative analysis of omics data in cancer biology, using a variety of suitable u...

sysbio.cvm.msstate.edu

SysBio

sysbio.de

Systems Biology Group -Universities of Stuttgart, Magdeburg and Liège

At the Universities of. 09–12 August 2009 Denver, Colorado. International Conference on Systems Biology (ICSB 2009), 30 August–4 September 2009, Stanford, CA, USA. SysBio.de in the media - Publicity. University of Liège. Last modified by sysbio. 25 May. 2009.

sysbio.di.uminho.pt

Research on Bioinformatics

Bioinformatics and Systems Biology. This web site is devoted to document the research efforts developed at the University of Minho. In the topics of Bioinformatics and Systems Biology. This is the result of a collaboration from researchers from the Computer Science and Technology Center (CCTC). Research centre and the Centre of Biological Engineering (CEB). Part of the IBB Associated Lab. Some of the areas of this site are open-access while other require pre-registration.

sysbio.drgoetz.de

Systembiotechnologie

3: Mathematics in a Nutshell. Http:/ www.copasi.org/. Http:/ www.celldesigner.org/. Http:/ jjj.biochem.sun.ac.za/.

sysbio.genome.clemson.edu

Welcome to GeneNet Engine | GeneNet Engine v0.9

GeneNet Engine v0.9. A network biology resource for genotype-phenotype relationship and biomarker discovery. One global and 23 GIL co-expression networks. For global) and link-community. Overlap with traits from over 8000 QTLs from Gramene. Overlap with traits from GWAS SNPs. Functional Enrichment analysis with GO, InterPro, KEGG, RiceCyc terms. 3 Million SNPs from NCBI dbSNP. Serve as potential bio markers. One global, 9 tissue specific and 86 GIL co-expression networks. 6K SNPs from NCBI dbSNP.