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R tools for MicroRNA pathway analysis Nature Precedings
Anwesha Dutta; Pooja Mandaviya; Rasanpreet Kaur; Sandeep Mallya.
In the early 2000s, microRNAs (miRNAs) were discovered as segments of a new class of highly conserved and small non-coding RNA molecules of 20-25 nucleotides that are transcribed from DNA.
They do not translation into proteins, rather they inhibit protein expression by binding to the 3’untranslated regions (3’ UTRs) of specific mRNA targets (that is/are complementary to them) and guiding their translational repression or complete degradation and gene silencing. With this, miRNAs provide a second level of regulation beyond primary gene expression. Integrative study of cellular pathways is pivotal to understanding the functions of individual genes and proteins in terms of systems and processes that contribute to normal...
Tipo: Poster Palavras-chave: Bioinformatics.
Ano: 2011 URL: http://precedings.nature.com/documents/5918/version/1
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Improving metabolite evaluation in integrated pathway analysis Nature Precedings
Rasanpreet Kaur; Anwesha Dutta; Martina Kutmon; Martijn Iersel; Chris Evelo.
Biological molecules such as proteins and metabolites interact to accomplish a biological function and to respond to environmental stimuli. Pathways capture this information derived through scientific experimentation and data analysis. They contain information about genes that appear in complexes, the interacting genes, the directionality of the interactions (e.g. inhibitors versus activators), the cellular locations where the reactions occur, and the metabolites that are affected by the processes. Using our open-source pathway analysis platform, PathVisio, we will connect pathway analysis to different quantitative approaches already in development for metabolic network modeling, such as flux balance analysis and dynamic simulation. In order to use...
Tipo: Poster Palavras-chave: Bioinformatics.
Ano: 2012 URL: http://precedings.nature.com/documents/6970/version/1
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