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miRvestigator Framework

MiRvestigator Framework: Detect the miRNAs Driving Co-Expression Signatures. The miRvestigator framework is designed to take as input a list of co-expressed genes and will return the most likely miRNA. Regulating these genes. It does this by searching for an over-represented sequence motif in the 3' untranslated regions (UTRs). Of the genes using Weeder. And then comparing this to the miRNA seed sequences in miRBase. Using our custom built miRvestigator hidden Markov model (HMM). Of transcripts and gener...

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miRvestigator Framework | mirvestigator.systemsbiology.net Reviews
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MiRvestigator Framework: Detect the miRNAs Driving Co-Expression Signatures. The miRvestigator framework is designed to take as input a list of co-expressed genes and will return the most likely miRNA. Regulating these genes. It does this by searching for an over-represented sequence motif in the 3' untranslated regions (UTRs). Of the genes using Weeder. And then comparing this to the miRNA seed sequences in miRBase. Using our custom built miRvestigator hidden Markov model (HMM). Of transcripts and gener...
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1 esults
2 utorial
3 itation
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5 post transcriptional regulation
6 by a mirna
7 mirvestigator currently supports
8 c elegans
9 d melanogaster
10 common fruit fly
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miRvestigator Framework | mirvestigator.systemsbiology.net Reviews

https://mirvestigator.systemsbiology.net

MiRvestigator Framework: Detect the miRNAs Driving Co-Expression Signatures. The miRvestigator framework is designed to take as input a list of co-expressed genes and will return the most likely miRNA. Regulating these genes. It does this by searching for an over-represented sequence motif in the 3' untranslated regions (UTRs). Of the genes using Weeder. And then comparing this to the miRNA seed sequences in miRBase. Using our custom built miRvestigator hidden Markov model (HMM). Of transcripts and gener...

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miRvestigator Framework: Detect the miRNAs Driving Co-Expression Signatures

http://mirvestigator.systemsbiology.net/help

What is the miRvestigator Framework? The miRvestigator framework is designed to take as input a list of co-expressed genes and will return the most likely miRNA. Regulating these genes. It does this by searching for over-represented sequence motifs in the 3' untranslated regions (UTRs). Of the genes using Weeder. And then comparing this to the miRNA seed sequences in miRBase. Using our custom built miRvestigator hidden Markov model (HMM). Entering a Co-Expressed Gene List. What is gene Co-Expression?

2

miRvestigator Framework

http://mirvestigator.systemsbiology.net/check_status

Enter your job ID to see the results:. Return to miRvestigator home page. Please contact cplaisier(at)systemsbiology.org. If you have any questions, comments or concerns. Developed at the Institute for Systems Biology. In the Baliga Lab.

3

miRvestigator Framework: Detect the miRNAs Driving Co-Expression Signatures

http://mirvestigator.systemsbiology.net/tutorial

At any point along the process help information are embedded in the web page as . Icons which once clicked will drop down information about the task being performed. The help can easily be retracted by clicking on the [-]. Enter a list of Entrez gene IDs corresponding to co-expressed genes. If you want to use your own data:. Identify putatively co-regulated genes (e.g. co-expressed genes). Bioinformatics resource gene ID conversion tool. DAVID has great a help page for ID conversion. If you do want to se...

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miRvestigator Framework: Detect the miRNAs Driving Co-Expression Signatures

http://mirvestigator.systemsbiology.net/citation

Citations for the miRvestigator Framework. MiRvestigator Algorithm Characterization - Christopher L. Plaisier, Min Pan, Nitin S. Baliga. A miRNA-regulatory network explains how dysregulated miRNAs perturb oncogenic processes across diverse cancers. 2012 Jun 28. PubMed PMID: 22745231. Nucl Acids Res. (2011) first published online May 20, 2011 doi:10.1093/nar/gkr374. Pavesi G, Mereghetti P, Zambelli F, Stefani M, Mauri G, Pesole G. MoD Tools: regulatory motif discovery in nucleotide sequences from co-r...

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Baliga Lab Personnel | Baliga Lab at Institute for Systems Biology

http://baliga.systemsbiology.net/drupal/members

Skip to main content. All e-mail addresses are @systemsbiology.org. University of Massachusetts at Amherst. MSc, Marine Biotechnology. Goa University, India. David J. Reiss. Anne W. Thompson. Adrián López García de Lomana. Assistant Professor, NYU. Email: bonneau(at)cs.nyu.edu. Marc T. Facciotti. Assistant Professor, UCDavis. Assistant Professor, Duke. Senior Scientist, NIHS, Japan. Email: masumura(at)nihs.go.jp. Assistant Professor, University of Sao Paulo. Univ of Arizona- School of Medicine 2009.

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Resources for exploring EGRIN for oxidative stress | Baliga Lab at Institute for Systems Biology

http://baliga.systemsbiology.net/drupal/content/egrin-oxidative-stress

Skip to main content. Resources for exploring EGRIN for oxidative stress. Oxidative stress (OS) is a condition reached when certain environmental stresses or genetic defects cause the production of ROS to exceed the management capacity. EGRIN. Is a multi-tiered systems scale program for OS management that was constructed using network inference algorithms cMonkey and Inferelator. You can find details of how this was done in the following manuscript:. Can be accessed in 5 formats:. Data Matrix Viewer (DMV).

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Halophiles | Baliga Lab at Institute for Systems Biology

http://baliga.systemsbiology.net/drupal/content/halophiles

Skip to main content. Research in our lab is focused on two halophilic archaeal - Halobacterium salinarum NRC-1. And Haloarcula marismortui ATCC 43049. To facilitate these studies we have determined the complete genome sequences for both of these organisms and have developed an array of genome scale strategies tailored to analyzing their biology. Using these powerful tools we are applying systems approaches. There are several reasons that influenced our choice of halophilic archaea as our model system(s)...

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Systems Approach | Baliga Lab at Institute for Systems Biology

http://baliga.systemsbiology.net/drupal/content/systems-approach

Skip to main content. The ultimate goal is to integrate and process all these measurements to formulate mathematical models. That recapitulate all previous observations and predict new behavior in face of novel environmental perturbations. In a systems approach biological questions. That extract meaningful biological insights that yields a systems level understanding of cellular responses. Marine Systems: from single cells to global biogeochemical cycles. P furiosus DSM 3638.

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Model Organisms | Baliga Lab at Institute for Systems Biology

http://baliga.systemsbiology.net/drupal/content/model-organisms

Skip to main content. Our choice of model organisms is dictated by the biological question being investigated. Accordingly, research in our laboratory is conducted on a slew of model organisms including halophilic archaea. Hypersaline algae, oceanic diatoms, methanogens. Halobacterium species NRC-1 Genome. P furiosus DSM 3638. Baliga Lab Institute for Systems Biology.

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Data Download | Baliga Lab at Institute for Systems Biology

http://baliga.systemsbiology.net/drupal/node/42

Skip to main content. Halobacterium species NRC-1 Genome. RAW ANNOTATION INPUT DATA. The following files are data products from protein domain matching software. The files were loaded into the database and used in combination to annotate the proteins. Rosetta results (Mammoth Summary). The following files contain gene names, start/stop coordinates, and directional orientation. Halobacterium NRC-1 Genome Map. Spotted Expression Microarray Platform. Protein - DNA interactions (chIP-chip).

baliga.systemsbiology.net baliga.systemsbiology.net

EGRIN (Environment And Gene Regulatory Influence Network) | Baliga Lab at Institute for Systems Biology

http://baliga.systemsbiology.net/drupal/content/egrin

Skip to main content. EGRIN (Environment And Gene Regulatory Influence Network). EGRIN is a product of an integrated systems analysis of transcriptional response of. To diverse enviromental and genetic insults. The network represents a predictive model for transcriptional control of physiology encoded by 1,929 of the total 2,400 genes in this organism. Details on the construction of analyses of this network are described in the paper published in. EGRIN can be accessed in 5 formats:. P furiosus DSM 3638.

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Haloarcula marismortui Genome | Baliga Lab at Institute for Systems Biology

http://baliga.systemsbiology.net/drupal/content/haloarcula-marismortui

Skip to main content. Compare Haloarcula and Halobacterium Genomes. Browse Domain Search Results. Explore Data with the Haloarcula Gaggle. Genome sequence of Haloarcula marismortui: A halophilic archaeon from the Dead Sea. Baliga, N.S., R. Bonneau, M.T. Facciotti, M. Pan, G. Glusman, E.W. Deutsch, P. Shannon, Y. Chiu, R.S. Weng, R.R. Gan, P. Hung, S.V. Date, E. Marcotte, L. Hood, and W.V. Ng. Genome Res. 2004 14: 2221-2234. P furiosus DSM 3638. Baliga Lab Institute for Systems Biology.

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Hyperthermophiles | Baliga Lab at Institute for Systems Biology

http://baliga.systemsbiology.net/drupal/content/hyperthermophiles

Skip to main content. Pyrococcus furiosus DSM 3638. Pyrococcus furiosus is an extremophilic species of Archaea. It is notable for having an optimum growth temperature of 100°C (a temperature which would destroy most living organisms), and for being one of the few organisms identified as possessing enzymes containing tungsten, an element rarely found in biological molecules. P furiosus DSM 3638. Baliga Lab Institute for Systems Biology.

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MiRvestigator Framework: Detect the miRNAs Driving Co-Expression Signatures. The miRvestigator framework is designed to take as input a list of co-expressed genes and will return the most likely miRNA. Regulating these genes. It does this by searching for an over-represented sequence motif in the 3' untranslated regions (UTRs). Of the genes using Weeder. And then comparing this to the miRNA seed sequences in miRBase. Using our custom built miRvestigator hidden Markov model (HMM). Of transcripts and gener...

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