WinGene/WinPep: user-friendly software for the analysis of amino acid sequences.

WinGene1.0/WinPep1.2 is a pair of Microsoft Windows programs designed to read nucleotide or amino acid sequence data. These versatile programs have the following capabilities: (i) searches for open reading frames and their translation, (ii) assisting the design of primers for PCR and (iii) calculation of molecular weight, isoelectric point and molar absorbtion coefficients of polypeptides. Furthermore, hydropathic plots and helical wheel displays are easily produced. The programs run with an intuitive Windows interface, contain a comprehensive help file and enable data exchange with other applications by means of the Copy&Paste command. The software is free for academic and noncommercial users.     

FAST-Modelfree: a program for rapid automated analysis of solution NMR spin-relaxation data

Herein we describe the program FAST-Modelfree for the fully automated, high throughput analysis of NMR spin-relaxation data. This program interfaces with the program Modelfree 4.1 and provides an intuitive graphical user interface for configuration as well as complete standalone operation during the model selection and rotational diffusion parameter optimization processes. FAST-Modelfree is also capable of iteratively assigning models to each spin and optimizing the parameters that describe the diffusion tensor. Tests with the protein Ribonuclease A indicate that using this iterative approach even poor initial estimates of the diffusion tensor parameters will converge to the optimal value within a few iterations. In addition to improving the quality of the final fit, this represents a substantial timesaving compared to manual data analysis and minimizes the chance of human error. It is anticipated that this program will be particularly useful for the analysis and comparison of data collected under different conditions such as multiple temperatures and the presence and absence of ligands. Further, this program is intended to establish a more uniform protocol for NMR spin-relaxation data analysis, facilitating the comparison of results both between and within research laboratories. Results obtained with FAST-Modelfree are compared with previous literature results for the proteins Ribonuclease H, E. coli glutaredoxin-1 and the Ca²⁺-binding protein S100B. These proteins represent data sets collected at both single and multiple static magnetic fields and which required analysis with both isotropic and axially symmetric rotational diffusion tensors. In all cases results obtained with FAST-Modelfree compared favorably with the original literature results.     

COMAP: a comigrating analysis program for estimating the relationship of adenoviruses on the genome level.

The computer program COMAP is described that enables one to evaluate the relationship among adenovirus 6 strains by comigration analysis with regard to the genome. The required data were obtained by restriction analysis with several enzymes. The program is also important for identifying further adenovirus strains by DNA restriction analysis and to compare new restriction fragment patterns with stored data of known adenovirus strains. We believe that in this manner the DNA restriction analysis will become a valuable diagnostic procedure.     

Computer programs in nucleic acid synthesis: synthetic strategy development using solid-phase chemical techniques with data storage, retrieval and analysis capabilities.

A computer program has been designed to aid development of synthetic strategies for oligonucleotides produced by solid-phase chemical techniques. The program reduces the time required to develop a strategy and a data file from hours to minutes. The program contains inventories, provides cost analyses, and generates and stores other associated data. The program searches an inventory of sequences for that sequence to avoid duplicate synthesis. If the sequence is not in the inventory the program devises a synthetic strategy, calculates the amounts of reagents and labor costs necessary to complete the synthetic oligonucleotide. The program also deducts the reagents from inventory files. Physical data is also calculated. A file is generated in a sequence inventory for storage of the data as well as other data that will be generated during the purification processes. All variable parameters can be easily edited. The programs were designed to provide a cross-referencing feature for data analysis and can use several parameters as a constant.     

Oblong,a program to analyse phylogenomic data sets with millions of characters,requiring negligible amounts of RAM

Oblong, a program with very low memory requirements, is presented. It is designed for parsimony analysis of data sets comprising many characters for moderate numbers of taxa (the order of up to a few hundred). The program can avoid using vast amounts of RAM by temporarily saving data to disk buffers, only parts of which are periodically read back in by the program. In this way, the entire data set is never held in RAM by the program—only small parts of it. While using disk files to store the data slows down searches, it does so only by a relatively small factor (4× to 5×), because the program minimizes the number of times the data must be accessed (i.e. read back in) during tree searches. Thus, even if the program is not designed primarily for speed, runtimes are within an order of magnitude of those of the fastest existing parsimony programs.     

An image analysis and statistical evaluation program for the assessment of tumour cell invasion in vitro.

Tumour cell invasion is a complex process, which is essential for the formation of metastasis and is therefore of critical clinical importance. For detailed investigations of the invasive process, quantifiable in vitro models of invasion are necessary. In this study we describe an image analysis procedure and a statistical program which facilitate an objective analysis of experiments carried out using the embryonic chick heart invasion model of Mareel. Tumour multicellular spheroids are confronted with embryonic chick heart fragments in culture and are sampled after different time intervals for up to 7 days. Immunohistological sections are then evaluated by an image analysis procedure which provides 9 parameters indicating invasion, proliferation and destruction taking place in the confrontation cultures. The data obtained by image analysis are further evaluated by a statistical program which describes the change with time of each parameter by means of linear regression analysis. Thus the data obtained at various time intervals serve as the source data for a single statistic, namely the slope of the regression line. Confidence intervals and statistical differences between various experiments can be calculated. In order to make the procedure more comprehensible in biological terms, the program provides a full text interpretation of the experimental results. The image analysis procedure in conjunction with statistical evaluation and text interpretation provides a comprehensive tool for the quantitative assessment of experimental invasion in vitro.     

Computer Program Designed to Follow Fluctuations in Microbial Populations and Its Application in a Study of Chesapeake Bay Microflora

A computer program has been developed which performs cluster analysis of microorganisms using methods of numerical taxonomy. The program is designed to group related strains, identify the groups by reference to known strains, and calculate a hypothetical median organism (HMO) for each group. The HMO serves to condense taxonomic information and provides a tag for each strain cluster. Every strain in a group is compared with the HMO established for that group. A representative strain for the group is obtained by selection of the strain showing highest similarity to the HMO. New data sets can be compared with data sets of previous analyses. Hence, the occurrence of the same taxonomic groups within separate data sets can be determined. Quantitative or qualitative differences in distribution of taxonomic groups within or between data sets can be measured. The output from the computer is a graphical display, using an on-line plotter; thus, the investigator is provided with visual comparison of data sets. Results obtained from a study applying the computer program in an analysis of taxonomic data obtained for 43 bacterial strains isolated from Chesapeake Bay indicate the usefulness of this method of taxonomic analysis in microbial ecology.     

GProX, a user-friendly platform for bioinformatics analysis and visualization of quantitative proteomics data

Recent technological advances have made it possible to identify and quantify thousands of proteins in a single proteomics experiment. As a result of these developments, the analysis of data has become the bottleneck of proteomics experiment. To provide the proteomics community with a user-friendly platform for comprehensive analysis, inspection and visualization of quantitative proteomics data we developed the Graphical Proteomics Data Explorer (GProX)(1). The program requires no special bioinformatics training, as all functions of GProX are accessible within its graphical user-friendly interface which will be intuitive to most users. Basic features facilitate the uncomplicated management and organization of large data sets and complex experimental setups as well as the inspection and graphical plotting of quantitative data. These are complemented by readily available high-level analysis options such as database querying, clustering based on abundance ratios, feature enrichment tests for e.g. GO terms and pathway analysis tools. A number of plotting options for visualization of quantitative proteomics data is available and most analysis functions in GProX create customizable high quality graphical displays in both vector and bitmap formats. The generic import requirements allow data originating from essentially all mass spectrometry platforms, quantitation strategies and software to be analyzed in the program. GProX represents a powerful approach to proteomics data analysis providing proteomics experimenters with a toolbox for bioinformatics analysis of quantitative proteomics data. The program is released as open-source and can be freely downloaded from the project webpage at http://gprox.sourceforge.net.     

MASCOT HTML and XML parser: an implementation of a novel object model for protein identification data

Protein identification using MS is an important technique in proteomics as well as a major generator of proteomics data. We have designed the protein identification data object model (PDOM) and developed a parser based on this model to facilitate the analysis and storage of these data. The parser works with HTML or XML files saved or exported from MASCOT MS/MS ions search in peptide summary report or MASCOT PMF search in protein summary report. The program creates PDOM objects, eliminates redundancy in the input file, and has the capability to output any PDOM object to a relational database. This program facilitates additional analysis of MASCOT search results and aids the storage of protein identification information. The implementation is extensible and can serve as a template to develop parsers for other search engines. The parser can be used as a stand-alone application or can be driven by other Java programs. It is currently being used as the front end for a system that loads HTML and XML result files of MASCOT searches into a relational database. The source code is freely available at http://www.ccbm.jhu.edu and the program uses only free and open-source Java libraries.     

WinCD: Windows Software for Complex Demodulation

We describe WinCD, a program for extracting quantitative information about periodicity in time-series data using the method of complex demodulation (CD). The method is particularly well suited for the analysis of the effects of variables that may produce changes in biological rhythms, such as sleep deprivation, adaptation to changes in work schedules, time zone displacements, and various sorts of pathology. WinCD enables exploratory analysis of time series data by providing graphical displays of raw and processed time series, as well as numerous options for viewing and saving quantitative data. We describe WinCD operations and examples of the use of the program.     

A nonlinear regression program for small computers

A BASIC computer program for performing weighted nonlinear regression is described and a listing of the program is given. The program, which is small and simple to use, has been designed to be run by users with little knowledge of mathematics or computers. Robust methods of analysis are described which may be applied to data in which experimental errors are not normally distributed, and the program incorporates one such method. It is shown that the program is useful for the analysis of data conforming to the Michaelis-Menten equation, a single exponential, and to binding equations, and other applications are discussed.     

WinCD: Windows Software for Complex Demodulation

We describe WinCD, a program for extracting quantitative information about periodicity in time-series data using the method of complex demodulation (CD). The method is particularly well suited for the analysis of the effects of variables that may produce changes in biological rhythms, such as sleep deprivation, adaptation to changes in work schedules, time zone displacements, and various sorts of pathology. WinCD enables exploratory analysis of time series data by providing graphical displays of raw and processed time series, as well as numerous options for viewing and saving quantitative data. We describe WinCD operations and examples of the use of the program.     

A computer program for the analysis of crossover designs.

We describe a program, CROSS, which we have written to obtain potency estimates and other parameters for bioassay data from assays of crossover design. The program permits testing of all assays for statistical validity and calculates the complete analysis of variance for assays of balanced design. The form of data input and the complete documentation of assay results make this program particularly useful for anyone carrying out crossover assays on a routine basis. The analysis of variance presented is also useful for more general biological or medical situations.     

Application of a clustering-based peak alignment algorithm to analyze various DNA fingerprinting data

DNA fingerprinting analysis such as amplified ribosomal DNA restriction analysis (ARDRA), repetitive extragenic palindromic PCR (rep-PCR), ribosomal intergenic spacer analysis (RISA), and denaturing gradient gel electrophoresis (DGGE) are frequently used in various fields of microbiology. The major difficulty in DNA fingerprinting data analysis is the alignment of multiple peak sets. We report here an R program for a clustering-based peak alignment algorithm, and its application to analyze various DNA fingerprinting data, such as ARDRA, rep-PCR, RISA, and DGGE data. The results obtained by our clustering algorithm and by BioNumerics software showed high similarity. Since several R packages have been established to statistically analyze various biological data, the distance matrix obtained by our R program can be used for subsequent statistical analyses, some of which were not previously performed but are useful in DNA fingerprinting studies.     

Parametric approach to genomic imprinting analysis with applications to Angelman's syndrome

Genomic imprinting is a mechanism by which only one copy of a gene pair is expressed, and this expression is determined by the parental origin of the copy. The deregulation of imprinted genes has been implicated in a number of human diseases. The Imprinted Gene Catalogue now has more than 200 genes listed, and estimates based on mouse models suggest many more may exist in humans. Therefore, the development of methods to identify such genes is important. In this communication, we present a parametric model-based approach to analyzing arbitrary-sized pedigree data for genomic imprinting. We have modified widely used LINKAGE program to incorporate our proposed approach. In addition, our approach allows for the use of sex-specific recombinations in the analysis, which is of particular importance in a genome-wide analysis for imprinted genes. We compared our imprinting analysis approach to that implemented in the GENEHUNTER-IMPRINT program using simulation studies as well as by analyzing causal genes in Angelman's syndrome families, which are known to be imprinted. These analyses showed that the proposed approach is very powerful for detecting imprinted genes in large pedigrees.     

Abacus: a computational tool for extracting and pre-processing spectral count data for label-free quantitative proteomic analysis

We describe Abacus, a computational tool for extracting spectral counts from MS/MS data sets. The program aggregates data from multiple experiments, adjusts spectral counts to accurately account for peptides shared across multiple proteins, and performs common normalization steps. It can also output the spectral count data at the gene level, thus simplifying the integration and comparison between gene and protein expression data. Abacus is compatible with the widely used Trans-Proteomic Pipeline suite of tools and comes with a graphical user interface making it easy to interact with the program. The main aim of Abacus is to streamline the analysis of spectral count data by providing an automated, easy to use solution for extracting this information from proteomic data sets for subsequent, more sophisticated statistical analysis.     

TNT version 1.5, including a full implementation of phylogenetic morphometrics

Version 1.5 of the computer program TNT completely integrates landmark data into phylogenetic analysis. Landmark data consist of coordinates (in two or three dimensions) for the terminal taxa; TNT reconstructs shapes for the internal nodes such that the difference between ancestor and descendant shapes for all tree branches sums up to a minimum; this sum is used as tree score. Landmark data can be analysed alone or in combination with standard characters; all the applicable commands and options in TNT can be used transparently after reading a landmark data set. The program continues implementing all the types of analyses in former versions, including discrete and continuous characters (which can now be read at any scale, and automatically rescaled by TNT). Using algorithms described in this paper, searches for landmark data can be made tens to hundreds of times faster than it was possible before (from T to 3T times faster, where T is the number of taxa), thus making phylogenetic analysis of landmarks feasible even on standard personal computers.