PhyloSuite: An integrated and scalable desktop platform for streamlined molecular sequence data management and evolutionary phylogenetics studies

Multigene and genomic data sets have become commonplace in the field of phylogenetics, but many existing tools are not designed for such data sets, which often makes the analysis time‐consuming and tedious. Here, we present PhyloSuite , a (cross‐platform, open‐source, stand‐alone Python graphical user interface) user‐friendly workflow desktop platform dedicated to streamlining molecular sequence data management and evolutionary phylogenetics studies. It uses a plugin‐based system that integrates several phylogenetic and bioinformatic tools, thereby streamlining the entire procedure, from data acquisition to phylogenetic tree annotation (in combination with iTOL). It has the following features: (a) point‐and‐click and drag‐and‐drop graphical user interface; (b) a workplace to manage and organize molecular sequence data and results of analyses; (c) GenBank entry extraction and comparative statistics; and (d) a phylogenetic workflow with batch processing capability, comprising sequence alignment (mafft and macse ), alignment optimization (trimAl, HmmCleaner and Gblocks), data set concatenation, best partitioning scheme and best evolutionary model selection (PartitionFinder and modelfinder ), and phylogenetic inference (MrBayes and iq‐tree ). PhyloSuite is designed for both beginners and experienced researchers, allowing the former to quick‐start their way into phylogenetic analysis, and the latter to conduct, store and manage their work in a streamlined way, and spend more time investigating scientific questions instead of wasting it on transferring files from one software program to another.     

水团花药材鉴定方法的研究

目的:建立中药水团花的药材鉴定方法.方法:通过对主产地六批药材的研究,从薄层定性检查、水份测定、浸出物检查和灰分测定4个方面,建立了水团花的药材鉴定方法.结果:运用TLC法,定性鉴别了水团花中的2种化学成分;药材的含水量不得过9.6%;药材的水溶性浸出物不得少于31%;药材的醇溶性浸出物不得少于35%;药材的总灰分不得过5.0%.结论:该方法可用于控制水团花的质量.     

TO-GO: a Java-based Gene Ontology navigation environment

SUMMARY: TO-GO is a Gene Ontology (GO) navigation tool, which is implemented as a Java application. After the initial data downloading, the GO term tree can be interactively navigated without further network transfer. Local annotation can be incorporated. It supports querying by GO terms or associated gene product information, displaying the result as a table or a sub-tree. The result from the search for a set of external database accessions includes the number of gene products associated with each node, inclusive of sub-nodes. Search results can be further processed by set operations and these set operations can be quite useful for expression profile data analysis. A copy/paste function is also implemented in order to facilitate data exchange between applications. AVAILABILITY: TO-GO is freely available at http://www.ngic.re.kr/togo/index.html CONTACT: ungsik@kribb.re.kr     

A contribution to the generalization of the Gompertz function

SCHARF (1976) discusses various growth models. For the Gompertz function the differential equation (Formula: see text) is used. In words: the difference between relative growth rate and relative growth acceleration is constant. On the other hand, according to WENK (1973), the differential equation (Formula: see text) applies to the Gompertz function. It can be shown mathematically that (Formula: see text) applies in general. From Eq. (2) one obtains without trouble (Formula: see text). Therefore, the property leading to the Gompertz function may be defined as follows; the logarithmic derivation of the relative growth rate is constant. Eq. (2) is applicable only in special cases. It can be extended by assuming that c is not constant, but a function of time. In this way, a great number of growth functions can be found, which have to be regarded as model-based extensions of the Gompertz function.     

EGNAS: an exhaustive DNA sequence design algorithm

ABSTRACT: BACKGROUND: The molecular recognition based on the complementary base pairing of deoxyribonucleicacid (DNA) is the fundamental principle in the fields of genetics, DNA nanotechnologyand DNA computing. We present an exhaustive DNA sequence design algorithm thatallows to generate sets containing a maximum number of sequences with definedproperties. EGNAS (Exhaustive Generation of Nucleic Acid Sequences) offers thepossibility of controlling both interstrand and intrastrand properties. The guanine-cytosinecontent can be adjusted. Sequences can be forced to start and end with guanine orcytosine. This option reduces the risk of "fraying" of DNA strands. It is possible to limitcross hybridizations of a defined length, and to adjust the uniqueness of sequences.Self-complementarity and hairpin structures of certain length can be avoided. Sequencesand subsequences can optionally be forbidden. Furthermore, sequences can be designed tohave minimum interactions with predefined strands and neighboring sequences. RESULTS: The algorithm is realized in a C++ program. TAG sequences can be generated andcombined with primers for single-base extension reactions, which were described formultiplexed genotyping of single nucleotide polymorphisms. Thereby, possible foldbackthrough intrastrand interaction of TAG-primer pairs can be limited. The design ofsequences for specific attachment of molecular constructs to DNA origami is presented. CONCLUSIONS: We developed a new software tool called EGNAS for the design of unique nucleic acidsequences. The presented exhaustive algorithm allows to generate greater sets ofsequences than with previous software and equal constraints. EGNAS is freely availablefor noncommercial use at http://www.chm.tu-dresden.de/pc6/EGNAS.     

SCide: identification of stabilization centers in proteins

SUMMARY: SCide is a program to identify stabilization centers from known protein structures. These are residues involved in cooperative long-range contacts, which can be formed between various regions of a single polypeptide chain, or they can belong to different peptides or polypeptides in a complex. The server takes a PDB file as an input, and the result is presented in graphical or text format. AVAILABILITY: SCide is available on the web at http://www.enzim.hu/scide. The source code can be obtained from the authors on request.     

Mixing small volumes for continuous high-throughput flow cytometry: performance of a mixing Y and peristaltic sample delivery

BACKGROUND: Online mixing for continuous high-throughput flow cytometry has not been previously described. A simple, general high-throughput method for mixing and delivery of submicroliter volumes in laminar flow at low Reynolds numbers would be widely useful. MATERIALS AND METHODS: We describe a micromixing approach that is compatible with commercial autosamplers, flow cytometry, and other detection schemes that require mixing of components that have been introduced into laminar flow. The scheme is based on a previous approach to high-throughput flow cytometry (HyperCyt, Kuckuck et al.: Cytometry 44:83-90, 2001). We showed that samples from multiwell plates that have been picked up by an autosampler can be separated during delivery by the small air bubbles introduced during the transit of the autosampler probe from well to well. Here, a particle sample flowing continuously is brought together in a Y with reagent samples from wells, which have been separated by bubbles. RESULTS: In the effluent stream, the particles and reagents are mixed, most likely as a result of peristaltic action, and reagents from individual wells can be resolved. The sample volumes that can be mixed with this technology are submicroliter in volume, and samples can be mixed at rates up to at least 100/samples per minute. With the current device, carryover between samples can be eliminated if the mixing system is flushed with several volumes of buffer. The anticipated throughput for screening is expected to be at least 20 samples per minute. CONCLUSIONS: The high-throughput approach and peristaltic mixing in HyperCytTM serve to integrate autosamplers with submicroliter detection volumes for analysis in flow cytometry or in microfluidic channels.     

BioShell--a package of tools for structural biology computations

SUMMARY: BioShell is a suite of programs performing common tasks accompanying protein structure modeling. BioShell design is based on UNIX shell flexibility and should be used as its extension. Using BioShell various molecular modeling procedures can be integrated in a single pipeline. AVAILABILITY: BioShell package can be downloaded from its website http://biocomp.chem.uw.edu.pl/BioShell and these pages provide many examples and a detailed documentation for the newest version.     

WiGID: wireless genome information database

WiGID, wireless genome information database, is a new application for mobile internet and can be reached through wireless application protocol (WAP). The main purpose of WiGID is to give easy access to information on completely sequenced genomes. Genome entries in WiGID can be queried by the number of open reading frames (ORFs), genus and species name and year published. Initial search results are linked to information on the full entry. AVAILABILITY: WiGID can be accessed through WAP at http://wigid.cgb.ki.se/index.wml and through the regular internet at http://wigid.cgb.ki.se.     

pMAA-Red: a new pPZP-derived vector for fast visual screening of transgenic Arabidopsis plants at the seed stage

ABSTRACT: BACKGROUND: The production of transgenic plants, either for the overproduction of the protein of interest, for promoter::reporter lines, or for the downregulation of genes is an important prerequisite in modern plant research but is also very time-consuming. RESULTS: We have produced additions to the pPZP family of vectors. Vector pPZP500 (derived from pPZP200) is devoid of NotI sites and vector pPZP600 (derived from pPZP500) contains a bacterial kanamycin resistance gene. Vector pMAA-Red contains a Pdf2.1::DsRed marker and a CaMV::GUS cassette within the T-DNA and is useful for the production of promoter::GUS lines and overexpression lines. The Pdf2.1 promoter is expressed in seeds and syncytia induced by the beet cyst nematode Heterodera schachti in Arabidopsis roots. Transgenic seeds show red fluorescence which can be used for selection and the fluorescence level is indicative of the expression level of the transgene. The advantage is that plants can be grown on soil and that expression of the marker can be directly screened at the seed stage which saves time and resources. Due to the expression of the Pdf2.1::DsRed marker in syncytia, the vector is especially useful for the expression of a gene of interest in syncytia. CONCLUSIONS: The vector pMAA-Red allows for fast and easy production of transgenic Arabidopsis plants with a strong expression level of the gene of interest.     

PConPy--a Python module for generating 2D protein maps

PConPy is an open-source Python module for generating protein contact maps, distance maps and hydrogen bond plots. These maps can be generated in a number of publication-quality vector and raster image formats. Contact maps can be annotated with secondary structure and hydrogen bond assignments. PConPy offers a more flexible choice of contact definition parameters than existing toolkits, most notably a greater choice of inter-residue distance metrics. PConPy can be used as a stand-alone application or imported into existing source code. A web-interface to PConPy is also available for use. AVAILABILITY: The PConPy web-interface and source code can be accessed from its website at http://www.csse.unimelb.edu.au/~hohkhkh1/pconpy/. CONTACT: hohkhkh1@csse.unimelb.edu.au     

改良的乳鼠原代心房肌细胞的培养及鉴定方法

目的:主要探讨原代心房肌细胞的培养及鉴定方法,为进一步研究心房颤动的重构机制及治疗方法奠定基础。方法:选取1-3 d的SD乳鼠40只,雌雄不限,分离心房、心室肌,胰酶联合EDTA充分消化心房肌细胞,利用心房肌与成纤维细胞的差速贴壁及细胞传代方法纯化心房肌细胞,免疫细胞化学染色鉴定心房肌细胞。结果:心房肌细胞培养至第3天,可见心房肌细胞覆盖率高达90%,并出现波动性,免疫细胞化学染色可见90%的心房肌细胞肌经α-肌动蛋白抗体染色阳性。结论:经酶化学消化法可成功培养出原代心房肌细胞,是一种较好的培养及鉴定乳鼠心房肌细胞的方法。     

Linkage analysis using sex-specific recombination fractions with GENEHUNTER-MODSCORE

MOTIVATION: Sex-specific marker maps have become increasingly available. We have implemented the usage of sex-specific recombination frequencies in the GENEHUNTER-MODSCORE program that performs multipoint linkage analysis. Furthermore, we have devised a consistent method to choose the combinations of male and female genetic positions at which linkage scores should be calculated. Marker coordinates can be read automatically from publicly available genetic maps. RESULTS: In a MOD-score analysis of the COGA dataset provided for Genetic Analysis Workshop 14, the highest linkage peak on chromosome 1 further increases when using sex-specific maps, while some smaller peaks are decreased. Simulations confirm that the MOD score can be biased when a sex-averaged instead of the correct sex-specific map is employed. This shows that an adequate modeling of the female:male ratio of genetic distances is important, especially for complex traits. AVAILABILITY: The new version of GENEHUNTER-MODSCORE can be downloaded from the following website: http://www.staff.uni-marburg.de/~strauchk/software.html     

A new interpretation of flux ratio exponents using statistical rate theory

By viewing permeation as a three-step process (movements between the bulk intracellular medium and the channel, within the channel, and between the channel and the extracellular bulk medium), and describing each step in the process with a statistical rate theory (SRT) approach, we can envisage different permeation scenarios which consider whether movements across certain interfaces can be approximated to be at equilibrium. A new interpretation of the flux ratio exponent is presented and its value can be used to predict whether the rate-limiting region occurs within the channel or at the interface. By considering saturation profiles, estimates for SRT exchange rates can be obtained, and a comparison with the more well-known Eyring rate theory is provided. Received: 27 May 1998 / Revised version: 9 December 1998 / Accepted: 9 December 1998     

Gene expression and characteristics of a novel fibrinolytic enzyme (subtilisin DFE) in Escherichia coli

AIMS: The objective of this study is to actively express a novel fibrinolytic enzyme, subtilisin DFE (douchi fibrinolytic enzyme), in Escherichia coli. METHODS AND RESULTS: The DNA fragments encoding pro-subtilisin DFE was amplified and cloned into the vector pET32a to obtain N-terminal Trx fusion expression plasmid. The recombinant subtilisin DFE was successfully expressed and processed in the soluble fraction of E. coli BL21(DE3) in a similar fashion as the endogenous one of Bacillus amyloliquefaciens DC-4, resulting in an active enzyme. Moreover, active enzyme can also be refolded from inclusion body. CONCLUSIONS: Active subtilisin DFE can be expressed and processed in E. coli. SIGNIFICANCE AND IMPACT OF THE STUDY: This study provides evidences that subtilisin DFE can be actively expressed in E. coli and the pro-peptide is essential for guiding the proper folding into the active conformation. As such, large quantities of recombinant subtilisin DFE can be produced for pharmacological and clinical research.     

Simpleaffy: a BioConductor package for Affymetrix Quality Control and data analysis

SUMMARY: Quality Control is a fundamental aspect of successful microarray data analysis. Simpleaffy is a BioConductor package that provides access to a variety of QC metrics for assessing the quality of RNA samples and of the intermediate stages of sample preparation and hybridization. Simpleaffy also offers fast implementations of popular algorithms for generating expression summaries and detection calls. AVAILABILITY: Simpleaffy can be downloaded from http://www.bioconductor.org. SUPPLEMENTARY INFORMATION: Additional information can be found on the supplementary website located at http://bioinformatics.picr.man.ac.uk.     

SPLASH: structural pattern localization analysis by sequential histograms

MOTIVATION: The discovery of sparse amino acid patterns that match repeatedly in a set of protein sequences is an important problem in computational biology. Statistically significant patterns, that is patterns that occur more frequently than expected, may identify regions that have been preserved by evolution and which may therefore play a key functional or structural role. Sparseness can be important because a handful of non-contiguous residues may play a key role, while others, in between, may be changed without significant loss of function or structure. Similar arguments may be applied to conserved DNA patterns. Available sparse pattern discovery algorithms are either inefficient or impose limitations on the type of patterns that can be discovered. RESULTS: This paper introduces a deterministic pattern discovery algorithm, called Splash, which can find sparse amino or nucleic acid patterns matching identically or similarly in a set of protein or DNA sequences. Sparse patterns of any length, up to the size of the input sequence, can be discovered without significant loss in performances. Splash is extremely efficient and embarrassingly parallel by nature. Large databases, such as a complete genome or the non-redundant SWISS-PROT database can be processed in a few hours on a typical workstation. Alternatively, a protein family or superfamily, with low overall homology, can be analyzed to discover common functional or structural signatures. Some examples of biologically interesting motifs discovered by Splash are reported for the histone I and for the G-Protein Coupled Receptor families. Due to its efficiency, Splash can be used to systematically and exhaustively identify conserved regions in protein family sets. These can then be used to build accurate and sensitive PSSM or HMM models for sequence analysis. AVAILABILITY: Splash is available to non-commercial research centers upon request, conditional on the signing of a test field agreement. CONTACT: acal@us.ibm.com, Splash main page http://www.research.ibm.com/splash     

Likelihood based observability analysis and confidence intervals for predictions of dynamic models

ABSTRACT: BACKGROUND: Predicting a system's behavior based on a mathematical model is a primary task in Systems Biology. If the model parameters are estimated from experimental data, the parameter uncertainty has to be translated into confidence intervals for model predictions. For dynamic models of biochemical networks, the nonlinearity in combination with the large number of parameters hampers the calculation of prediction confidence intervals and renders classical approaches as hardly feasible. RESULTS: In this article reliable confidence intervals are calculated based on the prediction profile likelihood. Such prediction confidence intervals of the dynamic states can be utilized for a data-based observability analysis. The method is also applicable if there are non-identifiable parameters yielding to some insufficiently specified modelpredictions that can be interpreted as non-observability. Moreover, a validation profile likelihood is introduced that should be applied when noisy validation experiments are to be interpreted. CONCLUSIONS: The presented methodology allows the propagation of uncertainty from experimental to model pre-dictions. Although presented in the context of ordinary differential equations, the concept is general and also applicable to other types of models. Matlab code which can be used as a template to implement the method is provided at http://www.fdmold.uni-freiburg.de/~ckreutz/PPL .     

Information, evolution and “error-friendliness”

Information can be conceived as being composed of two complementary components: novelty and confirmation. Whenever either of the two is zero, information is zero. Genetic information too requires both novelty and confirmation. Evolution can be seen as the history of diversification. Selection alone reduces diversity. Recessivity appears to serve as a mechanism to protect diversity against selection. So does the geographical and behavioural “separation” of species. Both recessivity and separation can be seen as “error-friendly”, a broader concept that is supportive of diversity, learning and further evolution. The principle should also be obeyed in technological systems. Received: 4 October 1997 / Accepted in revised form: 26 August 1998