LibSBML: an API library for SBML

Summary: LibSBML is an application programming interface libraryfor reading, writing, manipulating and validating content expressedin the Systems Biology Markup Language (SBML) format. It iswritten in ISO C and C++, provides language bindings for CommonLisp, Java, Python, Perl, MATLAB and Octave, and includes manyfeatures that facilitate adoption and use of both SBML and thelibrary. Developers can embed libSBML in their applications,saving themselves the work of implementing their own SBML parsing,manipulation and validation software. Availability: LibSBML 3 was released in August 2007. Sourcecode, binaries and documentation are freely available underLGPL open-source terms from http://sbml.org/software/libsbml. Contact: sbml-team{at}caltech.edu Associate Editor: Olga Troyanskaya The first two authors should be regarded as First Author.     

Power enhancement via multivariate outlier testing with gene expression arrays

Motivation: As the use of microarrays in human studies continuesto increase, stringent quality assurance is necessary to ensureaccurate experimental interpretation. We present a formal approachfor microarray quality assessment that is based on dimensionreduction of established measures of signal and noise componentsof expression followed by parametric multivariate outlier testing. Results: We applied our approach to several data resources.First, as a negative control, we found that the Affymetrix andIllumina contributions to MAQC data were free from outliersat a nominal outlier flagging rate of =0.01. Second, we createda tunable framework for artificially corrupting intensity datafrom the Affymetrix Latin Square spike-in experiment to allowinvestigation of sensitivity and specificity of quality assurance(QA) criteria. Third, we applied the procedure to 507 Affymetrixmicroarray GeneChips processed with RNA from human peripheralblood samples. We show that exclusion of arrays by this approachsubstantially increases inferential power, or the ability todetect differential expression, in large clinical studies. Availability: http://bioconductor.org/packages/2.3/bioc/html/arrayMvout.htmland http://bioconductor.org/packages/2.3/bioc/html/affyContam.htmlaffyContam (credentials: readonly/readonly) Contact: aasare{at}immunetolerance.org; stvjc{at}channing.harvard.edu The authors wish it to be known that, in their opinion, thefirst two authors should be regarded as joint First Authors. Associate Editor: Trey Ideker     

GlycoBase and autoGU: tools for HPLC-based glycan analysis

Summary: The development of robust high-performance liquid chromatography(HPLC) technologies continues to improve the detailed analysisand sequencing of glycan structures released from glycoproteins.Here, we present a database (GlycoBase) and analytical tool(autoGU) to assist the interpretation and assignment of HPLC-glycanprofiles. GlycoBase is a relational database which containsthe HPLC elution positions for over 350 2-AB labelled N-glycanstructures together with predicted products of exoglycosidasedigestions. AutoGU assigns provisional structures to each integratedHPLC peak and, when used in combination with exoglycosidasedigestions, progressively assigns each structure automaticallybased on the footprint data. These tools are potentially verypromising and facilitate basic research as well as the quantitativehigh-throughput analysis of low concentrations of glycans releasedfrom glycoproteins. Availability: http://glycobase.ucd.ie Contact: matthew.campbell{at}nibrt.ie Associate Editor: Limsoon Wong Present address: Dublin-Oxford Glycobiology Laboratory, NationalInstitute for Bioprocessing Research and Training, Conway Institute,University College Dublin, Dublin, Ireland. Present address: Ludger Ltd, Culham Science Centre, Abingdon,Oxfordshire OX14 3EB., UK.     

Model-based analysis of non-specific binding for background correction of high-density oligonucleotide microarrays

Motivation: High-density DNA microarrays provide us with usefultools for analyzing DNA and RNA comprehensively. However, thebackground signal caused by the non-specific binding (NSB) betweenprobe and target makes it difficult to obtain accurate measurements.To remove the background signal, there is a set of backgroundprobes on Affymetrix Exon arrays to represent the amount ofnon-specific signals, and an accurate estimation of non-specificsignals using these background probes is desirable for improvementof microarray analyses. Results: We developed a thermodynamic model of NSB on shortnucleotide microarrays in which the NSBs are modeled by duplexformation of probes and multiple hypothetical targets. We fittedthe observed signal intensities of the background probes withthose expected by the model to obtain the model parameters.As a result, we found that the presented model can improve theaccuracy of prediction of non-specific signals in comparisonwith previously proposed methods. This result will provide auseful method to correct for the background signal in oligonucleotidemicroarray analysis. Availability: The software is implemented in the R languageand can be downloaded from our website (http://www-shimizu.ist.osaka-u.ac.jp/shimizu_lab/MSNS/). Contact: furusawa{at}ist.osaka-u.ac.jp Supplementary information: Supplementary data are availableat Bioinformatics online. The authors wish it to be known that, in their opinion, thefirst two authors should be regarded as joint First Authors. Associate Editor: Trey Ideker     

PlasmoGF: an integrated system for comparative genomics and phylogenetic analysis of Plasmodium gene families

Summary: Malaria, one of the world's most common diseases, iscaused by the intracellular protozoan parasite known as Plasmodium.Recently, with the arrival of several malaria parasite genomes,we established an integrated system named PlasmoGF for comparativegenomics and phylogenetic analysis of Plasmodium gene families.Gene families were clustered using the Markov Cluster algorithmimplemented in TribeMCL program and could be searched usingkeywords, gene-family information, domain composition, GeneOntology and BLAST. Moreover, a number of useful bioinformaticstools were implemented to facilitate the analysis of these putativePlasmodium gene families, including gene retrieval, annotation,sequence alignment, phylogeny construction and visualization.In the current version, PlasmoGF contained 8980 sets of genefamilies derived from six malaria parasite genomes: Plasmodium.falciparum, P. berghei, P. knowlesi, P. chabaudi, P. vivax andP. yoelii. The availability of such a highly integrated systemwould be of great interest for the community of researchersworking on malaria parasite phylogenomics. Availability: PlasmoGF is freely available at http://bioinformatics.zj.cn/pgf/ Contact: xiaokunli{at}163.net; baoqy{at}genomics.org.cn; fuz3{at}psu.edu Associate Editor: Jonathan Wren The authors wish it to be known that, in their opinion, thefirst two authors should be regarded as joint First Authors.     

From pull-down data to protein interaction networks and complexes with biological relevance

Motivation: Recent improvements in high-throughput Mass Spectrometry(MS) technology have expedited genome-wide discovery of protein–proteininteractions by providing a capability of detecting proteincomplexes in a physiological setting. Computational inferenceof protein interaction networks and protein complexes from MSdata are challenging. Advances are required in developing robustand seamlessly integrated procedures for assessment of protein–proteininteraction affinities, mathematical representation of proteininteraction networks, discovery of protein complexes and evaluationof their biological relevance. Results: A multi-step but easy-to-follow framework for identifyingprotein complexes from MS pull-down data is introduced. It assessesinteraction affinity between two proteins based on similarityof their co-purification patterns derived from MS data. It constructsa protein interaction network by adopting a knowledge-guidedthreshold selection method. Based on the network, it identifiesprotein complexes and infers their core components using a graph-theoreticalapproach. It deploys a statistical evaluation procedure to assessbiological relevance of each found complex. On Saccharomycescerevisiae pull-down data, the framework outperformed othermore complicated schemes by at least 10% in F₁-measure and identified610 protein complexes with high-functional homogeneity basedon the enrichment in Gene Ontology (GO) annotation. Manual examinationof the complexes brought forward the hypotheses on cause offalse identifications. Namely, co-purification of differentprotein complexes as mediated by a common non-protein molecule,such as DNA, might be a source of false positives. Protein identificationbias in pull-down technology, such as the hydrophilic bias couldresult in false negatives. Contact: samatovan{at}ornl.gov Supplementary information: Supplementary data are availableat Bioinformatics online. Associate Editor: Jonathan Wren Present address: Department of Biomedical Informatics, VanderbiltUniversity, Nashville, TN 37232. The authors wish it to be known that, in their opinion, thefirst two authors should be regarded as joint First Authors.     

A comparison of meta-analysis methods for detecting differentially expressed genes in microarray experiments

Motivation: The proliferation of public data repositories createsa need for meta-analysis methods to efficiently evaluate, integrateand validate related datasets produced by independent groups.A t-based approach has been proposed to integrate effect sizefrom multiple studies by modeling both intra- and between-studyvariation. Recently, a non-parametric ‘rank product’method, which is derived based on biological reasoning of fold-changecriteria, has been applied to directly combine multiple datasetsinto one meta study. Fisher's Inverse ² method, which only dependson P-values from individual analyses of each dataset, has beenused in a couple of medical studies. While these methods addressthe question from different angles, it is not clear how theycompare with each other. Results: We comparatively evaluate the three methods; t-basedhierarchical modeling, rank products and Fisher's Inverse ²test with P-values from either the t-based or the rank productmethod. A simulation study shows that the rank product method,in general, has higher sensitivity and selectivity than thet-based method in both individual and meta-analysis, especiallyin the setting of small sample size and/or large between-studyvariation. Not surprisingly, Fisher's ² method highly dependson the method used in the individual analysis. Application toreal datasets demonstrates that meta-analysis achieves morereliable identification than an individual analysis, and rankproducts are more robust in gene ranking, which leads to a muchhigher reproducibility among independent studies. Though t-basedmeta-analysis greatly improves over the individual analysis,it suffers from a potentially large amount of false positiveswhen P-values serve as threshold. We conclude that careful meta-analysisis a powerful tool for integrating multiple array studies. Contact: fxhong{at}jimmy.harvard.edu Supplementary information: Supplementary data are availableat Bioinformatics online. Associate Editor: David Rocke Present address: Department of Biostatistics and ComputationalBiology, Dana-Farber Cancer Institute, Harvard School of PublicHealth, 44 Binney Street, Boston, MA 02115, USA.     

Thermodynamic Roles of Solubility in Taste Responses of Amino Acids

Bitter, sour and sweet responses of amino acids were relatedto their solubilities S_w, which are virtually equal to the reciprocalsof activity coefficients at infinite dilution in water _w, andalso related to their excess partial molar entropies of transferTS_t^E. Chem. Senses 21: 405–409, 1996. Present address: 5-32-12 Tamanawa, Kamakura-shi, 247 Japan     

Effects of blue light deficiency on acclimation of light energy partitioning in PSII and CO2 assimilation capacity to high irradiance in spinach leaves

Blue light effects on the acclimation of energy partitioningcharacteristics in PSII and CO₂ assimilation capacity in spinachto high growth irradiance were investigated. Plants were grownhydroponically in different light treatments that were a combinationof two light qualities and two irradiances, i.e. white lightand blue-deficient light at photosynthetic photon flux densities(PPFDs) of 100 and 500 µmol m^–2 s^–1. The CO₂assimilation rate, the quantum efficiency of PSII (PSII) andthermal dissipation activity / in young, fully expanded leaves were measured under 1,600 µmol m^–2 s^–1white light. The CO₂ assimilation rate and PSII were higher,while / was lower in plants grown under high irradiancethan in plants grown under low irradiance. These responses wereobserved irrespective of the presence or absence of blue lightduring growth. The extent of the increase in the CO₂ assimilationrate and PSII and the decrease in / by high growth irradiance was smaller under blue light-deficient conditions. These resultsindicate that blue light helps to boost the acclimation responsesof energy partitioning in PSII and CO₂ assimilation to highirradiance. Similarly, leaf N, Cyt f and Chl contents per unitleaf area increased by high growth irradiance, and the extentof the increment in leaf N, Cyt f and Chl was smaller underblue light-deficient conditions. Regression analysis showedthat the differences in energy partitioning in PSII and CO₂assimilation between plants grown under high white light andhigh blue-deficient light were closely related to the differencein leaf N.     

Incorporation of some possible radioactive intermediates into chlorogenic acid in sliced sweet potato tissue

t-Cinnamic acid-2-¹⁴C, p-coumaric acid-2-¹⁴C and caffeic acid-2-¹⁴Cwere administered to discs of sweet potato roots and incorporationof each radioactive compound into chlorogenic acid was compared.The data suggest that chlorogenic acid is synthesized througheither or both of two major pathways, phenylalanine t-cinnamate t-cinnamoyl derivative p-coumaroyl derivative chlorogenicacid and phenylalanine t-cinnamate p-coumarate p-coumaroylderivative chlorogenic acid. ¹Part 75 of the phytopathological chemistry of sweet potatowith black rot and injury. ²Present address : Department of Biology, Tokyo MetropolitanUniversity, Setagaya-ku, Tokyo. (Received December 23, 1968; )     

GENESIS: genome evolution scenarios

Summary: We implemented a software tool called GENESIS for threedifferent genome rearrangement problems: Sorting a unichromosomalgenome by weighted reversals and transpositions (SwRT), sortinga multichromosomal genome by reversals, translocations, fusionsand fissions (SRTl), and sorting a multichromosomal genome byweighted reversals, translocations, fusions, fissions and transpositions(SwRTTl). Availability: Source code can be obtained by the authors, oruse the web interface http://www.uni-ulm.de/in/theo/research/genesis.html Contact: simon.gog{at}uni-ulm.de Associate Editor: Chris Stoeckert     

DeconMSn: a software tool for accurate parent ion monoisotopic mass determination for tandem mass spectra

Summary: DeconMSn accurately determines the monoisotopic massand charge state of parent ions from high-resolution tandemmass spectrometry data, offering significant improvement forLTQ_FT and LTQ_Orbitrap instruments over the commercially deliveredThermo Fisher Scientific's extract_msn tool. Optimal parention mass tolerance values can be determined using accurate massinformation, thus improving peptide identifications for high-massmeasurement accuracy experiments. For low-resolution data fromLCQ and LTQ instruments, DeconMSn incorporates a support-vector-machine-basedcharge detection algorithm that identifies the most likely chargeof a parent species through peak characteristics of its fragmentationpattern. Availability: http://ncrr.pnl.gov/software/ or http://www.proteomicsresource.org/ Contact: rds{at}pnl.gov Supplementary information: PowerPoint presentation/Poster onhttp://ncrr.pnl.gov/software/. Associate Editor: Alfonso Valencia