Computational classification of small RNAs and their targets

Small RNAs, and in particular microRNAs, are currently receiving a great deal of attention due to their important roles in gene regulation and organism development. Recently, new high-throughput technologies have made it possible to sequence hundreds of thousands of small RNAs from a single experime...

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Bibliographic Details
Main Author:	Moxon, Simon
Published:	University of East Anglia 2008
Subjects:	572.88
Online Access:	http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.502034

id	ndltd-bl.uk-oai-ethos.bl.uk-502034
record_format	oai_dc
spelling	ndltd-bl.uk-oai-ethos.bl.uk-5020342015-03-20T03:15:55ZComputational classification of small RNAs and their targetsMoxon, Simon2008Small RNAs, and in particular microRNAs, are currently receiving a great deal of attention due to their important roles in gene regulation and organism development. Recently, new high-throughput technologies have made it possible to sequence hundreds of thousands of small RNAs from a single experimental sample. In this thesis we develop new computational tools to process such high-throughput small RNA datasets in order to identify microRNAs and other biologically interesting small RNA candidates and to predict their target genes. We apply these tools to a variety of plant and animal datasets and present some novel discoveries including miRNAs involved in fruit development in tomato (Solanum lycopersicon).572.88University of East Angliahttp://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.502034https://ueaeprints.uea.ac.uk/10619/Electronic Thesis or Dissertation
collection	NDLTD
sources	NDLTD
topic	572.88
spellingShingle	572.88 Moxon, Simon Computational classification of small RNAs and their targets
description	Small RNAs, and in particular microRNAs, are currently receiving a great deal of attention due to their important roles in gene regulation and organism development. Recently, new high-throughput technologies have made it possible to sequence hundreds of thousands of small RNAs from a single experimental sample. In this thesis we develop new computational tools to process such high-throughput small RNA datasets in order to identify microRNAs and other biologically interesting small RNA candidates and to predict their target genes. We apply these tools to a variety of plant and animal datasets and present some novel discoveries including miRNAs involved in fruit development in tomato (Solanum lycopersicon).
author	Moxon, Simon
author_facet	Moxon, Simon
author_sort	Moxon, Simon
title	Computational classification of small RNAs and their targets
title_short	Computational classification of small RNAs and their targets
title_full	Computational classification of small RNAs and their targets
title_fullStr	Computational classification of small RNAs and their targets
title_full_unstemmed	Computational classification of small RNAs and their targets
title_sort	computational classification of small rnas and their targets
publisher	University of East Anglia
publishDate	2008
url	http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.502034
work_keys_str_mv	AT moxonsimon computationalclassificationofsmallrnasandtheirtargets
_version_	1716779596417859584

Computational classification of small RNAs and their targets

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