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		<title>Biology Direct - Latest articles</title>
		<link>http://www.biology-direct.com</link>
		<description>The latest articles from Biology Direct (ISSN 1745-6150) published by 
				
				BioMed Central
		</description>
        <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/"/>
        <items>
            <rdf:Seq>
            
				    <rdf:li rdf:resource="http://www.biology-direct.com/content/3/1/28"/>			    
            
				    <rdf:li rdf:resource="http://www.biology-direct.com/content/3/1/27"/>			    
            
				    <rdf:li rdf:resource="http://www.biology-direct.com/content/3/1/26"/>			    
            
				    <rdf:li rdf:resource="http://www.biology-direct.com/content/3/1/25"/>			    
            
				    <rdf:li rdf:resource="http://www.biology-direct.com/content/3/1/24"/>			    
            
				    <rdf:li rdf:resource="http://www.biology-direct.com/content/3/1/23"/>			    
            
				    <rdf:li rdf:resource="http://www.biology-direct.com/content/3/1/22"/>			    
            
				    <rdf:li rdf:resource="http://www.biology-direct.com/content/3/1/21"/>			    
            
				    <rdf:li rdf:resource="http://www.biology-direct.com/content/3/1/20"/>			    
            
				    <rdf:li rdf:resource="http://www.biology-direct.com/content/3/1/19"/>			    
            
            </rdf:Seq>
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		<item rdf:about="http://www.biology-direct.com/content/3/1/28">
            
            <title>A family of GFP-like proteins with different spectral properties in lancelet Branchiostoma floridae</title>
			<description>Background:
Members of the green fluorescent protein (GFP) family share sequence similarity and the 11-stranded beta-barrel fold. Fluorescence or bright coloration, observed in many members of this family, is enabled by the intrinsic properties of the polypeptide chain itself, without the requirement for cofactors. Amino acid sequence of fluorescent proteins can be altered by genetic engineering to produce variants with different spectral properties, suitable for direct visualization of molecular and cellular processes. Naturally occurring GFP-like proteins include fluorescent proteins from cnidarians of the Hydrozoa and Anthozoa classes, and from copepods of the Pontellidae family, as well as non-fluorescent proteins from Anthozoa. Recently, an mRNA encoding a fluorescent GFP-like protein AmphiGFP, related to GFP from Pontellidae, has been isolated from the adult lancelet Branchiostoma floridae, a cephalochordate (Deheyn et al., Biol Bull, 2007 213:95).
Results:
We report that the nearly-completely sequenced genome of Branchiostoma floridae encodes at least 12 GFP-like proteins. The evidence for expression of six of these genes can be found in the EST databases. Phylogenetic analysis suggests that a gene encoding a GFP-like protein was present in the common ancestor of Cnidaria and Bilateria. We synthesized and expressed two of the lancelet GFP-like proteins in mammalian cells and in bacteria. One protein, which we called LanFP1, exhibits bright green fluorescence in both systems.  The other protein, LanFP2, is identical to AmphiGFP in amino acid sequence and is moderately fluorescent. Live imaging of the adult animals revealed bright green fluorescence at the anterior end and in the basal region of the oral cirri, as well as weaker green signals throughout the body of the animal. In addition, red fluorescence was observed in oral cirri, extending to the tips.
Conclusions:
GFP-like proteins may have been present in the primitive Metazoa. Their evolutionary history includes losses in several metazoan lineages and expansion in cephalochordates that resulted in the largest repertoire of GFP-like proteins known thus far in a single organism. Lancelet expresses several of its GFP-like proteins, which appear to have distinct spectral properties and perhaps diverse functions.
Reviewers
This article was reviewed by Shamil Sunyaev, Mikhail Matz (nominated by I.King Jordan) and L.Aravind.</description>
			<link>http://www.biology-direct.com/content/3/1/28</link>
			
			 	<dc:creator>Diana Baumann, Malcolm Cook, Limei Ma, Arcady Mushegian, Erik Sanders, Joel Schwartz and C RON Yu</dc:creator>
			
			<dc:source>Biology Direct 2008, 3:28</dc:source>
			<dc:date>2008-07-03</dc:date>
			<dc:identifier>doi:10.1186/1745-6150-3-28</dc:identifier>
			
			
							
					<prism:publicationName>Biology Direct</prism:publicationName>
					
			
							
					<prism:issn>1745-6150</prism:issn>
					
			
							
					<prism:volume>3</prism:volume>
					
			
							
					<prism:startingPage>28</prism:startingPage>
					
			
							
					<prism:publicationDate>2008-07-03</prism:publicationDate>
					

            <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/"/>
        </item>
	
		<item rdf:about="http://www.biology-direct.com/content/3/1/27">
            
            <title>Detection of co-eluted peptides using
database search methods</title>
			<description>Background:
Current experimental techniques, especially those applying liquid chromatography mass spectrometry, have made high-throughput proteomic studies possible. The increase in throughput however also raises concerns on the accuracy of identification or quantification. Most experimental procedures select in a given MS scan only a few relatively most intense parent ions, each to be fragmented (MS2) separately, and most other minor co-eluted peptides that have similar chromatographic retention times are ignored and their information lost.
Results:
We have computationally investigated the possibility of enhancing the information retrieval during a given LC/MS experiment by selecting the two or three most intense parent ions for simultaneous fragmentation. A set of spectra is created via superimposing a number of MS2 spectra, each can be identified by all search methods tested with high confidence, to mimick the spectra of co-eluted peptides. The generated convoluted spectra were used to evaluate the capability of several database search methods - SEQUEST, Mascot, X!Tandem, OMSSA, and RAId_DbS - in identifying true peptides from superimposed spectra of co-eluted peptides. We show that using these simulated spectra, all the database search methods will gain eventually in the number of true peptides identified by using the compound spectra of co-eluted peptides.
Open peer review:
Reviewed by Vlad Petyuk (nominated by Arcady Mushegian), King Jordan and Shamil Sunyaev. For the full reviews, please go to the Reviewers' comments section.</description>
			<link>http://www.biology-direct.com/content/3/1/27</link>
			
			 	<dc:creator>Gelio Alves, Aleksey Y Ogurtsov, Siwei Kwok, Wells W Wu, Guanghui Wang, Rong-Fong Shen and Yi-Kuo Yu</dc:creator>
			
			<dc:source>Biology Direct 2008, 3:27</dc:source>
			<dc:date>2008-07-02</dc:date>
			<dc:identifier>doi:10.1186/1745-6150-3-27</dc:identifier>
			
			
							
					<prism:publicationName>Biology Direct</prism:publicationName>
					
			
							
					<prism:issn>1745-6150</prism:issn>
					
			
							
					<prism:volume>3</prism:volume>
					
			
							
					<prism:startingPage>27</prism:startingPage>
					
			
							
					<prism:publicationDate>2008-07-02</prism:publicationDate>
					

            <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/"/>
        </item>
	
		<item rdf:about="http://www.biology-direct.com/content/3/1/26">
            
            <title>Complete genome sequence of the extremely acidophilic methanotroph isolate V4, "Methylacidiphilum infernorum", 
a representative of the bacterial phylum Verrucomicrobia</title>
			<description>Background:
The phylum Verrucomicrobia is a widespread but poorly characterized bacterial clade. Although cultivation-independent approaches detect representatives of this phylum in a wide range of environments, including soils, seawater, hot springs and human gastrointestinal tract, only few have been isolated in pure culture. We have recently reported cultivation and initial characterization of an extremely acidophilic methanotrophic member of the Verrucomicrobia, strain V4, isolated from the Hell's Gate geothermal area in New Zealand. Similar organisms were independently isolated from geothermal systems in Italy and Russia. 
Results:
We report the complete genome sequence of strain V4, the first one from a representative of the Verrucomicrobia. Isolate V4, initially named "Methylokorus infernorum" (and recently renamed Methylacidiphilum infernorum) is an autotrophic bacterium with a streamlined genome of ~2.3 Mbp that encodes simple signal transduction pathways and has a limited potential for regulation of gene expression. Central metabolism of M. infernorum was reconstructed almost completely and revealed highly interconnected pathways of autotrophic central metabolism and modifications of C1-utilization pathways compared to other known methylotrophs. The M. infernorum genome does not encode tubulin, which was previously discovered in bacteria of the genus Prosthecobacter, or close homologs of any other signature eukaryotic proteins.  Phylogenetic analysis of ribosomal proteins and RNA polymerase subunits unequivocally supports grouping Planctomycetes, Verrucomicrobia and Chlamydiae into a single clade, the PVC superphylum, despite dramatically different gene content in members of these three groups. Comparative-genomic analysis suggests that evolution of the M. infernorum lineage involved extensive horizontal gene exchange with a variety of bacteria. The genome of M. infernorum shows apparent adaptations for existence under extremely acidic conditions including a major upward shift in the isoelectric points of proteins.  
Conclusions:
The results of genome analysis of M. infernorum support the monophyly of the PVC superphylum. M. infernorum possesses a streamlined genome but seems to have acquired numerous genes including those for enzymes of methylotrophic pathways via horizontal gene transfer, in particular, from Proteobacteria. 
Reviewers
This article was reviewed by John A. Fuerst, Ludmila Chistoserdova, and Radhey S. Gupta.</description>
			<link>http://www.biology-direct.com/content/3/1/26</link>
			
			 	<dc:creator>Shaobin Hou, Kira S. Makarova, Jimmy H. W Saw, Pavel Senin, Benjamin V. Ly, Zhemin Zhou, Yan Ren, Jianmei Wang, Michael Y. Galperin, Marina V. Omelchenko, Yuri I. Wolf, Natalya Yutin, Eugene V. Koonin, Matthew B. Stott, Bruce W. Mountain, Michelle A. Crowe, Angela V. Smirnova, Peter F. Dunfield, Lu Feng, Lei Wang and Maqsudul Alam</dc:creator>
			
			<dc:source>Biology Direct 2008, 3:26</dc:source>
			<dc:date>2008-07-01</dc:date>
			<dc:identifier>doi:10.1186/1745-6150-3-26</dc:identifier>
			
			
							
					<prism:publicationName>Biology Direct</prism:publicationName>
					
			
							
					<prism:issn>1745-6150</prism:issn>
					
			
							
					<prism:volume>3</prism:volume>
					
			
							
					<prism:startingPage>26</prism:startingPage>
					
			
							
					<prism:publicationDate>2008-07-01</prism:publicationDate>
					

            <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/"/>
        </item>
	
		<item rdf:about="http://www.biology-direct.com/content/3/1/25">
            
            <title>Genetic characterization of Hawaiian isolates of Plasmodium relictum reveals mixed-genotype infections</title>
			<description>Background:
The relatively recent introduction of a highly efficient mosquito vector and an avian pathogen (Plasmodium relictum) to an isolated island ecosystem with naive, highly susceptible avian hosts provides a unique opportunity to investigate evolution of virulence in a natural system.  Mixed infections can significantly contribute to the uncertainty in host-pathogen dynamics with direct impacts on virulence. Toward further understanding of how host-parasite and parasite-parasite relationships may impact virulence, this study characterizes within-host diversity of malaria parasite populations based on genetic analysis of the trap (thrombospondin-related anonymous protein) gene in isolates originating from Hawaii, Maui and Kauai Islands.   
Methods:
A total of 397 clones were produced by nested PCR amplification and cloning of a 1664 bp fragment of the trap gene from two malarial isolates, K1 (Kauai) and KV115 (Hawaii) that have been used for experimental studies, and from additional isolates from wild birds on Kauai, Maui and Hawaii Islands. Diversity of clones was evaluated initially by RFLP-based screening, followed by complete sequencing of 33 selected clones.   
Results:
RFLP analysis of trap revealed a minimum of 28 distinct RFLP haplotypes among the 397 clones from 18 birds.  Multiple trap haplotypes were detected in every bird evaluated, with an average of 5.9 haplotypes per bird.  Overall diversity did not differ between the experimental isolates, however, a greater number of unique haplotypes were detected in K1 than in KV115.  We detected high levels of clonal diversity with  clear delineation between isolates K1 and KV115 in a haplotype network.  The patterns of within-host haplotype clustering are consistent with the possibility of a clonal genetic structure and rapid within-host mutation after infection.        
Conclusions:
Avian malaria (P. relictum) and Avipoxvirus are the significant infectious diseases currently affecting the native Hawaiian avifauna.  This study shows that clonal diversity of Hawaiian isolates of P. relictum is much higher than previously recognized.  Mixed infections can significantly contribute to the uncertainty in host-pathogen dynamics with direct implications for host demographics, disease management strategies, and evolution of virulence.  The results of this study indicate a widespread presence of multiple-genotype malaria infections with high clonal diversity in native birds of Hawaii, which when coupled with concurrent infection with Avipoxvirus, may significantly influence evolution of virulence. 
Reviewers:   This article was reviewed by Joseph Schall (nominated by Laura Landweber), Daniel Jeffares (nominated by Anthony Poole) and Susan Perkins (nominated by Eugene Koonin).  </description>
			<link>http://www.biology-direct.com/content/3/1/25</link>
			
			 	<dc:creator>Susan I Jarvi, Margaret EM Farias and Carter T Atkinson</dc:creator>
			
			<dc:source>Biology Direct 2008, 3:25</dc:source>
			<dc:date>2008-06-25</dc:date>
			<dc:identifier>doi:10.1186/1745-6150-3-25</dc:identifier>
			
			
							
					<prism:publicationName>Biology Direct</prism:publicationName>
					
			
							
					<prism:issn>1745-6150</prism:issn>
					
			
							
					<prism:volume>3</prism:volume>
					
			
							
					<prism:startingPage>25</prism:startingPage>
					
			
							
					<prism:publicationDate>2008-06-25</prism:publicationDate>
					

            <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/"/>
        </item>
	
		<item rdf:about="http://www.biology-direct.com/content/3/1/24">
            
            <title>In Silico regulatory analysis for exploring human disease progression </title>
			<description>Background:
An important goal in bioinformatics is to unravel the network of transcription factors (TFs) and their targets.  This is important in the human genome, where many TFs are involved in disease progression.  Here, classification methods are applied to identify new targets for 152 transcriptional regulators using publicly-available targets as training examples.  Three types of sequence information are used: composition, conservation, and overrepresentation. 
Results:
Starting with 8817 TF-target interactions we predict an additional 9333 targets for 152 TFs.  Randomized classifiers make few predictions (~2/18660) indicating that our predictions for many TFs are significantly enriched for true targets.  An enrichment score is calculated and used to filter new predictions.  
Two case-studies for the TFs OCT4 and WT1 illustrate the usefulness of our predictions:
-Many predicted OCT4 targets fall into the Wnt-pathway. This is consistent with known biology as OCT4 is developmentally related and Wnt pathway plays a role in early development.  
-Beginning with 15 known targets, 354 predictions are made for WT1.  WT1 has a role in formation of Wilmsa tumor.  Chromosomal regions previously implicated in Wilmsa tumor by cytological evidence are statistically enriched in predicted WT1 targets.  These findings may shed light on Wilmsa tumor progression, suggesting that the tumor progresses either by loss of WT1 or by loss of regions harbouring its targets.
-Targets of WT1 are statistically enriched for cancer related functions including metastasis and apoptosis.  Among new targets are BAX and PDE4B, which may help mediate the established anti-apoptotic effects of WT1.  
-Of the thirteen TFs found which co-regulate genes with WT1 (p a 0.02), 8 have been previously implicated in cancer.  The regulatory-network for WT1 targets in genomic regions relevant to Wilms tumor is provided.
Conclusions:
We have assembled a set of features for the targets of human TFs and used them to develop classifiers for the determination of new regulatory targets. Many predicted targets are consistent with the known biology of their regulators, and new targets for the Wilms' tumor regulator, WT1, are proposed. We speculate that Wilms' tumor development is mediated by chromosomal rearrangements in the location of WT1 targets.
Reviewers: This article was reviewed by Trey Ideker, Vladimir A. Kuznetsov(nominated by Frank Eisenhaber), and Tzachi Pilpel.  </description>
			<link>http://www.biology-direct.com/content/3/1/24</link>
			
			 	<dc:creator>Dustin T Holloway, Mark Kon and Charles DeLisi</dc:creator>
			
			<dc:source>Biology Direct 2008, 3:24</dc:source>
			<dc:date>2008-06-18</dc:date>
			<dc:identifier>doi:10.1186/1745-6150-3-24</dc:identifier>
			
			
							
					<prism:publicationName>Biology Direct</prism:publicationName>
					
			
							
					<prism:issn>1745-6150</prism:issn>
					
			
							
					<prism:volume>3</prism:volume>
					
			
							
					<prism:startingPage>24</prism:startingPage>
					
			
							
					<prism:publicationDate>2008-06-18</prism:publicationDate>
					

            <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/"/>
        </item>
	
		<item rdf:about="http://www.biology-direct.com/content/3/1/23">
            
            <title>On the necessity of different statistical treatment for Illumina BeadChip and Affymetrix GeneChip data and its significance for biological interpretation</title>
			<description>Background:
The original spotted array technology with competitive hybridization of two experimental samples and measuring relative expression levels is increasingly displaced by more accurate platforms that allow determining absolute expression values for a single sample (for example, Affymetrix GeneChip and Illumina BeadChip). Unfortunately, cross-platform comparisons show a disappointingly low concordance between lists of regulated genes between the latter two platforms. 
Results:
Whereas expression values determined with a single Affymetrix GeneChip represent single measurements, the expression results obtained with Illumina BeadChip are essentially statistical means from several dozens of identical probes. In the case of multiple technical replicates, the data require, therefore, different statistical treatment depending on the platform. The key is the computation of the squared standard deviation within replicates in the case of the Illumina data as weighted mean of the square of the standard deviations of the individual experiments. With an Illumina spike experiment, we demonstrate dramatically improved significance of spiked genes over all relevant concentration ranges. The re-evaluation of two published Illumina datasets (membrane type-1 matrix metalloproteinase expression in mammary epithelial cells by Golubkov et al. Cancer Research (2006) 66, 10460; spermatogenesis in normal and teratozoospermic men, Platts et al. Human Molecular Genetics (2007) 16, 763) significantly identified more biologically relevant genes as transcriptionally regulated targets and, thus, additional biological pathways involved. 
Conclusions:
The results in this work show that it is important to process Illumina BeadChip data in a modified statistical procedure and to compute the standard deviation in experiments with technical replicates from the standard errors of individual BeadChips. This change leads also to an improved concordance with Affymetrix GeneChip results as the spermatogenesis dataset re-evaluation demonstrates.
Reviewers: This article was reviewed by I. King Jordan, Mark J. Dunning and Shamil Sunyaev</description>
			<link>http://www.biology-direct.com/content/3/1/23</link>
			
			 	<dc:creator>Wing-Cheong Wong, Marie Loh and Frank Eisenhaber</dc:creator>
			
			<dc:source>Biology Direct 2008, 3:23</dc:source>
			<dc:date>2008-06-03</dc:date>
			<dc:identifier>doi:10.1186/1745-6150-3-23</dc:identifier>
			
			
							
					<prism:publicationName>Biology Direct</prism:publicationName>
					
			
							
					<prism:issn>1745-6150</prism:issn>
					
			
							
					<prism:volume>3</prism:volume>
					
			
							
					<prism:startingPage>23</prism:startingPage>
					
			
							
					<prism:publicationDate>2008-06-03</prism:publicationDate>
					

            <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/"/>
        </item>
	
		<item rdf:about="http://www.biology-direct.com/content/3/1/22">
            
            <title>Classifying transcription factor targets and discovering relevant biological features</title>
			<description>Background:
An important goal in post-genomic research is discovering the network of interactions between transcription factors (TFs) and the genes they regulate. We have previously reported the development of a supervised-learning approach to TF target identification, and used it to predict targets of 104 transcription factors in yeast. We now include a new sequence conservation measure, expand our predictions to include 59 new TFs, introduce a web-server, and implement an improved ranking method to reveal the biological features contributing to regulation. The classifiers combine 8 genomic datasets covering a broad range of measurements including sequence conservation, sequence overrepresentation, gene expression, and DNA structural properties.Principal Findings(1) Application of the method yields an amplification of information about yeast regulators. The ratio of total targets to previously known targets is greater than 2 for 11 TFs, with several having larger gains: Ash1(4), Ino2(2.6), Yaf1(2.4), and Yap6(2.4).(2) Many predicted targets for TFs match well with the known biology of their regulators. As a case study we discuss the regulator Swi6, presenting evidence that it may be important in the DNA damage response, and that the previously uncharacterized gene YMR279C plays a role in DNA damage response and perhaps in cell-cycle progression.(3) A procedure based on recursive-feature-elimination is able to uncover from the large initial data sets those features that best distinguish targets for any TF, providing clues relevant to its biology. An analysis of Swi6 suggests a possible role in lipid metabolism, and more specifically in metabolism of ceramide, a bioactive lipid currently being investigated for anti-cancer properties.(4) An analysis of global network properties highlights the transcriptional network hubs; the factors which control the most genes and the genes which are bound by the largest set of regulators. Cell-cycle and growth related regulators dominate the former; genes involved in carbon metabolism and energy generation dominate the latter.
Conclusion:
Postprocessing of regulatory-classifier results can provide high quality predictions, and feature ranking strategies can deliver insight into the regulatory functions of TFs. Predictions are available at an online web-server, including the full transcriptional network, which can be analyzed using VisAnt network analysis suite.ReviewersThis article was reviewed by Igor Jouline, Todd Mockler(nominated by Valerian Dolja), and Sandor Pongor.</description>
			<link>http://www.biology-direct.com/content/3/1/22</link>
			
			 	<dc:creator>Dustin T Holloway, Mark Kon and Charles DeLisi</dc:creator>
			
			<dc:source>Biology Direct 2008, 3:22</dc:source>
			<dc:date>2008-05-30</dc:date>
			<dc:identifier>doi:10.1186/1745-6150-3-22</dc:identifier>
			
			
							
					<prism:publicationName>Biology Direct</prism:publicationName>
					
			
							
					<prism:issn>1745-6150</prism:issn>
					
			
							
					<prism:volume>3</prism:volume>
					
			
							
					<prism:startingPage>22</prism:startingPage>
					
			
							
					<prism:publicationDate>2008-05-30</prism:publicationDate>
					

            <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/"/>
        </item>
	
		<item rdf:about="http://www.biology-direct.com/content/3/1/21">
            
            <title>cpRAS: a novel circularly permuted RAS-like GTPase domain with a highly scattered phylogenetic distribution</title>
			<description>A recent systematic survey suggested that the YRG (or YawG/YlqF) family with the G4-G5-G1-G2-G3 order of the conserved GTPase motifs represents the only possible circularly permuted variation of the canonical GTPase structure. Here we show that a different circularly permuted GTPase domain actually does exist, conforming to the pattern G3-G4-G5-G1-G2. The domain, dubbed cpRAS, is a variant of RAS family GTPases and occurs in two types of larger proteins, either inserted into a region homologous to a bacterial group of proteins classified as COG2373 and potentially related to the alpha-2-macroglobulin family (so far a single protein in Dictyostelium) or in combination with a von Willebrand factor type A (VWA) domain. For the latter protein type, which was found in a few metazoans and several distantly related protists, existence in the common ancestor of opisthokonts, Amoebozoa and excavates followed by at least eight independent losses may be inferred. Our findings thus bring further evidence for the importance of parallel reduction of ancestral complexity in the eukaryotic evolution.ReviewersThis article was reviewed by Lakshminarayan Iyer and Fyodor Kondrashov. For the full reviews, please go to the Reviewers' comments section.</description>
			<link>http://www.biology-direct.com/content/3/1/21</link>
			
			 	<dc:creator>Marek Elias and Marian Novotny</dc:creator>
			
			<dc:source>Biology Direct 2008, 3:21</dc:source>
			<dc:date>2008-05-29</dc:date>
			<dc:identifier>doi:10.1186/1745-6150-3-21</dc:identifier>
			
			
							
					<prism:publicationName>Biology Direct</prism:publicationName>
					
			
							
					<prism:issn>1745-6150</prism:issn>
					
			
							
					<prism:volume>3</prism:volume>
					
			
							
					<prism:startingPage>21</prism:startingPage>
					
			
							
					<prism:publicationDate>2008-05-29</prism:publicationDate>
					

            <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/"/>
        </item>
	
		<item rdf:about="http://www.biology-direct.com/content/3/1/20">
            
            <title>Splign: algorithms for computing spliced alignments with identification of paralogs</title>
			<description>Background:
The computation of accurate alignments of cDNA sequences against a genome is at the foundation of modern genome annotation pipelines. Several factors such as presence of paralogs, small exons, non-consensus splice signals, sequencing errors and polymorphic sites pose recognized difficulties to existing spliced alignment algorithms.
Results:
We describe a set of algorithms behind a tool called Splign for computing cDNA-to-Genome alignments. The algorithms include a high-performance preliminary alignment, a compartment identification based on a formally defined model of adjacent duplicated regions, and a refined sequence alignment. In a series of tests, Splign has produced more accurate results than other tools commonly used to compute spliced alignments, in a reasonable amount of time.
Conclusion:
Splign's ability to deal with various issues complicating the spliced alignment problem makes it a helpful tool in eukaryotic genome annotation processes and alternative splicing studies. Its performance is enough to align the largest currently available pools of cDNA data such as the human EST set on a moderate-sized computing cluster in a matter of hours. The duplications identification (compartmentization) algorithm can be used independently in other areas such as the study of pseudogenes.ReviewersThis article was reviewed by: Steven Salzberg, Arcady Mushegian and Andrey Mironov (nominated by Mikhail Gelfand).</description>
			<link>http://www.biology-direct.com/content/3/1/20</link>
			
			 	<dc:creator>Yuri Kapustin, Alexander Souvorov, Tatiana Tatusova and David Lipman</dc:creator>
			
			<dc:source>Biology Direct 2008, 3:20</dc:source>
			<dc:date>2008-05-21</dc:date>
			<dc:identifier>doi:10.1186/1745-6150-3-20</dc:identifier>
			
			
							
					<prism:publicationName>Biology Direct</prism:publicationName>
					
			
							
					<prism:issn>1745-6150</prism:issn>
					
			
							
					<prism:volume>3</prism:volume>
					
			
							
					<prism:startingPage>20</prism:startingPage>
					
			
							
					<prism:publicationDate>2008-05-21</prism:publicationDate>
					

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		<item rdf:about="http://www.biology-direct.com/content/3/1/19">
            
            <title>U12 intron positions are more strongly conserved between animals and plants than U2 intron positions</title>
			<description>We report that the positions of minor, U12 introns are conserved in orthologous genes from human and Arabidopsis to an even greater extent than the positions of the major, U2 introns. The U12 introns, especially, conserved ones are concentrated in 5'-portions of plant and animal genes, where the U12 to U2 conversions occurs preferentially in the 3'-portions of genes. These results are compatible with the hypothesis that the high level of conservation of U12 intron positions and their persistence in genomes despite the unidirectional U12 to U2 conversion are explained by the role of the slowly excised U12 introns in down-regulation of gene expression.ReviewersThis article was reviewed by John Logsdon and Manyuan Long. For the full reviews, please go to the Reviewers' Reports section.</description>
			<link>http://www.biology-direct.com/content/3/1/19</link>
			
			 	<dc:creator>Malay Kumar Basu, Wojciech Makalowski, Igor B Rogozin and Eugene V Koonin</dc:creator>
			
			<dc:source>Biology Direct 2008, 3:19</dc:source>
			<dc:date>2008-05-14</dc:date>
			<dc:identifier>doi:10.1186/1745-6150-3-19</dc:identifier>
			
			
							
					<prism:publicationName>Biology Direct</prism:publicationName>
					
			
							
					<prism:issn>1745-6150</prism:issn>
					
			
							
					<prism:volume>3</prism:volume>
					
			
							
					<prism:startingPage>19</prism:startingPage>
					
			
							
					<prism:publicationDate>2008-05-14</prism:publicationDate>
					

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