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<title>RedTram News Search Engine | News on &quot;Science &amp; Education&quot;  everywhere</title>
<link>http://en.redtram.com/</link>
<description>News on &quot;Science &amp; Education&quot;  everywhere</description>
<copyright>Copyright (c) 2009 RedTram. All rights reserved.</copyright>
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<category>50445 | MLwiN 2.15 and MLwiN Forum</category>
<title>MLwiN 2.15 and MLwiN Forum</title>
<link>http://en.redtram.com/go/229209969/top100/</link>
<source url="http://en.redtram.com/sources/229209969/">229209969</source>
<description>We have now released MLwiN 2.15. Some bugs have been fixed, e.g. we have fixed a potential error when reading worksheets containing column descriptions. Further details about MLwiN 2.1 bug fixes go to our bugs page www.cmm.bristol.ac.uk/MLwiN/bugs/fixes.shtmlAlso! We are delighted</description>
<pubDate>Sat, 07 Nov 2009 14:21:17 GMT</pubDate>
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<item>
<category>55357 | Phenotypic categorization of genetic skin diseases reveals new relations between phenotypes, genes and pathways</category>
<title>Phenotypic categorization of genetic skin diseases reveals new relations between phenotypes, genes and pathways</title>
<link>http://en.redtram.com/go/229209705/top100/</link>
<source url="http://en.redtram.com/sources/229209705/">229209705</source>
<description>Motivation: Systematic analysis of connection between proteins, their cellular function and phenotypic manifestations in disease is a central problem of biological and clinical research. The solution to this problem requires the development of new approaches to link the rapidly growing</description>
<pubDate>Sat, 07 Nov 2009 14:13:03 GMT</pubDate>
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<item>
<category>55357 | De novo computational prediction of non-coding RNA genes in prokaryotic genomes</category>
<title>De novo computational prediction of non-coding RNA genes in prokaryotic genomes</title>
<link>http://en.redtram.com/go/229209704/top100/</link>
<source url="http://en.redtram.com/sources/229209704/">229209704</source>
<description>Motivation: The computational identification of non-coding RNA (ncRNA) genes represents one of the most important and challenging problems in computational biology. Existing methods for ncRNA gene prediction rely mostly on homology information, thus limiting their applications to ncRNA genes with</description>
<pubDate>Sat, 07 Nov 2009 14:12:58 GMT</pubDate>
<guid isPermaLink="true">http://en.redtram.com/go/229209704/top100/</guid>
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<item>
<category>55357 | Integrative clustering of multiple genomic data types using a joint latent variable model with application to breast and lung cancer</category>
<title>Integrative clustering of multiple genomic data types using a joint latent variable model with application to breast and lung cancer</title>
<link>http://en.redtram.com/go/229209703/top100/</link>
<source url="http://en.redtram.com/sources/229209703/">229209703</source>
<description>Motivation: The molecular complexity of a tumor manifests itself at the genomic, epigenomic, transcriptomic and proteomic levels. Genomic profiling at these multiple levels should allow an integrated characterization of tumor etiology. However, there is a shortage of effective statistical and</description>
<pubDate>Sat, 07 Nov 2009 14:12:53 GMT</pubDate>
<guid isPermaLink="true">http://en.redtram.com/go/229209703/top100/</guid>
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<item>
<category>55357 | Predicting homologous signaling pathways using machine learning</category>
<title>Predicting homologous signaling pathways using machine learning</title>
<link>http://en.redtram.com/go/229209702/top100/</link>
<source url="http://en.redtram.com/sources/229209702/">229209702</source>
<description>Motivation: In general, each cell signaling pathway involves many proteins, each with one or more specific roles. As they are essential components of cell activity, it is important to understand how these proteins work—and in particular, to determine which of</description>
<pubDate>Sat, 07 Nov 2009 14:12:50 GMT</pubDate>
<guid isPermaLink="true">http://en.redtram.com/go/229209702/top100/</guid>
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<item>
<category>55357 | Understanding hydrogen-bond patterns in proteins using network motifs</category>
<title>Understanding hydrogen-bond patterns in proteins using network motifs</title>
<link>http://en.redtram.com/go/229209701/top100/</link>
<source url="http://en.redtram.com/sources/229209701/">229209701</source>
<description>Summary: Protein structures can be viewed as networks of contacts (edges) between amino-acid residues (nodes). Here we dissect proteins into sub-graphs consisting of six nodes and their corresponding edges, with an edge being either a backbone hydrogen bond (H-bond) or</description>
<pubDate>Sat, 07 Nov 2009 14:12:46 GMT</pubDate>
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<item>
<category>55357 | A boosting approach to structure learning of graphs with and without prior knowledge</category>
<title>A boosting approach to structure learning of graphs with and without prior knowledge</title>
<link>http://en.redtram.com/go/229209700/top100/</link>
<source url="http://en.redtram.com/sources/229209700/">229209700</source>
<description>Motivation: Identifying the network structure through which genes and their products interact can help to elucidate normal cell physiology as well as the genetic architecture of pathological phenotypes. Recently, a number of gene network inference tools have appeared based on</description>
<pubDate>Sat, 07 Nov 2009 14:12:43 GMT</pubDate>
<guid isPermaLink="true">http://en.redtram.com/go/229209700/top100/</guid>
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<item>
<category>55357 | Learning gene regulatory networks from gene expression measurements using non-parametric molecular kinetics</category>
<title>Learning gene regulatory networks from gene expression measurements using non-parametric molecular kinetics</title>
<link>http://en.redtram.com/go/229209699/top100/</link>
<source url="http://en.redtram.com/sources/229209699/">229209699</source>
<description>Motivation: Regulation of gene expression is fundamental to the operation of a cell. Revealing the structure and dynamics of a gene regulatory network (GRN) is of great interest and represents a considerably challenging computational problem. The GRN estimation problem is</description>
<pubDate>Sat, 07 Nov 2009 14:12:38 GMT</pubDate>
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<item>
<category>55357 | Identification of genes involved in the same pathways using a Hidden Markov Model-based approach</category>
<title>Identification of genes involved in the same pathways using a Hidden Markov Model-based approach</title>
<link>http://en.redtram.com/go/229209698/top100/</link>
<source url="http://en.redtram.com/sources/229209698/">229209698</source>
<description>Motivation: The sequencing of whole genomes from various species has provided us with a wealth of genetic information. To make use of the vast amounts of data available today it is necessary to devise computer-based analysis techniques.</description>
<pubDate>Sat, 07 Nov 2009 14:12:35 GMT</pubDate>
<guid isPermaLink="true">http://en.redtram.com/go/229209698/top100/</guid>
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<item>
<category>55357 | Mining gene functional networks to improve mass-spectrometry-based protein identification</category>
<title>Mining gene functional networks to improve mass-spectrometry-based protein identification</title>
<link>http://en.redtram.com/go/229209697/top100/</link>
<source url="http://en.redtram.com/sources/229209697/">229209697</source>
<description>Motivation: High-throughput protein identification experiments based on tandem mass spectrometry (MS/MS) often suffer from low sensitivity and low-confidence protein identifications. In a typical shotgun proteomics experiment, it is assumed that all proteins are equally likely to be present. However, there</description>
<pubDate>Sat, 07 Nov 2009 14:12:32 GMT</pubDate>
<guid isPermaLink="true">http://en.redtram.com/go/229209697/top100/</guid>
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<item>
<category>55357 | Simultaneous inference of biological networks of multiple species from genome-wide data and evolutionary information: a semi-supervised approach</category>
<title>Simultaneous inference of biological networks of multiple species from genome-wide data and evolutionary information: a semi-supervised approach</title>
<link>http://en.redtram.com/go/229209696/top100/</link>
<source url="http://en.redtram.com/sources/229209696/">229209696</source>
<description>Motivation: The existing supervised methods for biological network inference work on each of the networks individually based only on intra-species information such as gene expression data. We believe that it will be more effective to use genomic data and cross-species</description>
<pubDate>Sat, 07 Nov 2009 14:12:26 GMT</pubDate>
<guid isPermaLink="true">http://en.redtram.com/go/229209696/top100/</guid>
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<item>
<category>55357 | Improving peptide identification with single-stage mass spectrum peaks</category>
<title>Improving peptide identification with single-stage mass spectrum peaks</title>
<link>http://en.redtram.com/go/229209693/top100/</link>
<source url="http://en.redtram.com/sources/229209693/">229209693</source>
<description>Motivation: Database searching is the major peptide identification method in shotgun proteomics. It searches tandem mass spectrometry (MS/MS) spectra against a protein database to identify target peptides. The success of such a database searching method relies on a scoring algorithm</description>
<pubDate>Sat, 07 Nov 2009 14:12:20 GMT</pubDate>
<guid isPermaLink="true">http://en.redtram.com/go/229209693/top100/</guid>
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<item>
<category>55357 | Metabolite and reaction inference based on enzyme specificities</category>
<title>Metabolite and reaction inference based on enzyme specificities</title>
<link>http://en.redtram.com/go/229209691/top100/</link>
<source url="http://en.redtram.com/sources/229209691/">229209691</source>
<description>Motivation: Many enzymes are not absolutely specific, or even promiscuous: they can catalyze transformations of more compounds than the traditional ones as listed in, e.g. KEGG. This information is currently only available in databases, such as the BRENDA enzyme activity</description>
<pubDate>Sat, 07 Nov 2009 14:12:18 GMT</pubDate>
<guid isPermaLink="true">http://en.redtram.com/go/229209691/top100/</guid>
<enclosure url="http://img2.en.redtram.com/news/229209691.jpg" length="255" type="image/jpeg" />
</item>
<item>
<category>55357 | A dictionary to identify small molecules and drugs in free text</category>
<title>A dictionary to identify small molecules and drugs in free text</title>
<link>http://en.redtram.com/go/229209688/top100/</link>
<source url="http://en.redtram.com/sources/229209688/">229209688</source>
<description>Motivation: From the scientific community, a lot of effort has been spent on the correct identification of gene and protein names in text, while less effort has been spent on the correct identification of chemical names. Dictionary-based term identification has</description>
<pubDate>Sat, 07 Nov 2009 14:12:15 GMT</pubDate>
<guid isPermaLink="true">http://en.redtram.com/go/229209688/top100/</guid>
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<item>
<category>55357 | Characterization of 1H NMR spectroscopic data and the generation of synthetic validation sets</category>
<title>Characterization of 1H NMR spectroscopic data and the generation of synthetic validation sets</title>
<link>http://en.redtram.com/go/229209685/top100/</link>
<source url="http://en.redtram.com/sources/229209685/">229209685</source>
<description>Motivation: Common contemporary practice within the nuclear magnetic resonance (NMR) metabolomics community is to evaluate and validate novel algorithms on empirical data or simplified simulated data. Empirical data captures the complex characteristics of experimental data, but the optimal or most</description>
<pubDate>Sat, 07 Nov 2009 14:12:11 GMT</pubDate>
<guid isPermaLink="true">http://en.redtram.com/go/229209685/top100/</guid>
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</item>
<item>
<category>55357 | Flynet: a genomic resource for Drosophila melanogaster transcriptional regulatory networks</category>
<title>Flynet: a genomic resource for Drosophila melanogaster transcriptional regulatory networks</title>
<link>http://en.redtram.com/go/229209683/top100/</link>
<source url="http://en.redtram.com/sources/229209683/">229209683</source>
<description>Motivation: The highly coordinated expression of thousands of genes in an organism is regulated by the concerted action of transcription factors, chromatin proteins and epigenetic mechanisms. High-throughput experimental data for genome wide in vivo protein-DNA interactions and epigenetic marks are</description>
<pubDate>Sat, 07 Nov 2009 14:12:08 GMT</pubDate>
<guid isPermaLink="true">http://en.redtram.com/go/229209683/top100/</guid>
<enclosure url="http://img2.en.redtram.com/news/229209683.jpg" length="255" type="image/jpeg" />
</item>
<item>
<category>55357 | Mobyle: a new full web bioinformatics framework</category>
<title>Mobyle: a new full web bioinformatics framework</title>
<link>http://en.redtram.com/go/229209681/top100/</link>
<source url="http://en.redtram.com/sources/229209681/">229209681</source>
<description>Motivation: For the biologist, running bioinformatics analyses involves a time-consuming management of data and tools. Users need support to organize their work, retrieve parameters and reproduce their analyses. They also need to be able to combine their analytic tools using</description>
<pubDate>Sat, 07 Nov 2009 14:12:05 GMT</pubDate>
<guid isPermaLink="true">http://en.redtram.com/go/229209681/top100/</guid>
<enclosure url="http://img2.en.redtram.com/news/229209681.jpg" length="255" type="image/jpeg" />
</item>
<item>
<category>55357 | A method for visualizing CellML models</category>
<title>A method for visualizing CellML models</title>
<link>http://en.redtram.com/go/229209675/top100/</link>
<source url="http://en.redtram.com/sources/229209675/">229209675</source>
<description>Motivation: The Physiome Project was established in 1997 to develop tools to facilitate international collaboration in the physiological sciences and the sharing of biological models and experimental data. The CellML language was developed to represent and exchange mathematical models of</description>
<pubDate>Sat, 07 Nov 2009 14:11:59 GMT</pubDate>
<guid isPermaLink="true">http://en.redtram.com/go/229209675/top100/</guid>
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</item>
<item>
<category>55357 | Comparative analysis and unification of domain-domain interaction networks</category>
<title>Comparative analysis and unification of domain-domain interaction networks</title>
<link>http://en.redtram.com/go/229209672/top100/</link>
<source url="http://en.redtram.com/sources/229209672/">229209672</source>
<description>Motivation: Certain protein domains are known to preferentially interact with other domains. Several approaches have been proposed to predict domain-domain interactions, and over nine datasets are available. Our aim is to analyse the coverage and quality of the existing resources,</description>
<pubDate>Sat, 07 Nov 2009 14:11:57 GMT</pubDate>
<guid isPermaLink="true">http://en.redtram.com/go/229209672/top100/</guid>
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<item>
<category>55357 | Saint: a lightweight integration environment for model annotation</category>
<title>Saint: a lightweight integration environment for model annotation</title>
<link>http://en.redtram.com/go/229209668/top100/</link>
<source url="http://en.redtram.com/sources/229209668/">229209668</source>
<description>Summary: Saint is a web application which provides a lightweight annotation integration environment for quantitative biological models. The system enables modellers to rapidly mark up models with biological information derived from a range of data sources.</description>
<pubDate>Sat, 07 Nov 2009 14:11:54 GMT</pubDate>
<guid isPermaLink="true">http://en.redtram.com/go/229209668/top100/</guid>
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