phorest: a web‐based tool for comparative analyses of expressed sequence tag data

Comparative analysis of expressed sequence tags is becoming an important tool in molecular ecology for comparing gene expression in organisms grown in certain environments. Additionally, expressed sequence tag database information can be used for the construction of DNA microarrays and for the detection of single nucleotide polymorphisms. For such applications, we present phorest , a web‐based tool for managing, analysing and comparing various collections of expressed sequence tags. It is written in PHP (PHP: Hypertext Preprocessor) and runs on UNIX, Microsoft Windows and Macintosh (Mac OS X) platforms.     

Validation of a computer software program for statistical analysis of accelerated stability studies on biological standards.

Long-term stability is an essential requirement for biological measurement standards and it has been evaluated by applying the Arrhenius model to the data obtained from accelerated thermostability studies. A computer program DEGTEST suited to a mainframe computer has been used for evaluating the stability of biological standards for more than a decade. This paper describes the validation of a computer program executable in a personal computer Microsoft Windows XP environment for the analysis of accelerated thermostability study data.     

A new ImageJ plug-in "ActogramJ" for chronobiological analyses

While the rapid development of personal computers and high-throughput recording systems for circadian rhythms allow chronobiologists to produce huge amounts of data, the software to analyze them often lags behind. Here, we announce newly developed chronobiology software that is easy to use, compatible with many different systems, and freely available. Our system can perform the most frequently used analyses: actogram drawing, periodogram analysis, and waveform analysis. The software is distributed as a pure Java plug-in for ImageJ and so works on the 3 main operating systems: Linux, Macintosh, and Windows. We believe that this free software raises the speed of data analyses and makes studying chronobiology accessible to newcomers.     

Clustal W and Clustal X version 2.0

SUMMARY: The Clustal W and Clustal X multiple sequence alignment programs have been completely rewritten in C++. This will facilitate the further development of the alignment algorithms in the future and has allowed proper porting of the programs to the latest versions of Linux, Macintosh and Windows operating systems. AVAILABILITY: The programs can be run on-line from the EBI web server: http://www.ebi.ac.uk/tools/clustalw2. The source code and executables for Windows, Linux and Macintosh computers are available from the EBI ftp site ftp://ftp.ebi.ac.uk/pub/software/clustalw2/     

MorphoJ: an integrated software package for geometric morphometrics

Increasingly, data on shape are analysed in combination with molecular genetic or ecological information, so that tools for geometric morphometric analysis are required. Morphometric studies most often use the arrangements of morphological landmarks as the data source and extract shape information from them by Procrustes superimposition. The MorphoJ software combines this approach with a wide range of methods for shape analysis in different biological contexts. The program offers an integrated and user-friendly environment for standard multivariate analyses such as principal components, discriminant analysis and multivariate regression as well as specialized applications including phylogenetics, quantitative genetics and analyses of modularity in shape data. MorphoJ is written in Java and versions for the Windows, Macintosh and Unix/Linux platforms are freely available from http://www.flywings.org.uk/MorphoJ_page.htm.     

Chronomics analysis toolkit (CATkit)

Chronomics, and the study of biological rhythms, is a rapidly growing area of study. As biological researchers transition to awareness of the impact biological oscillators have on experimental outcomes, and the need to design experiments around genetic, molecular, physiological, and behavioral rhythms, there is increasing need to identify and characterize rhythmicity. There is a corresponding increase in demand for accessible software tools to analyze data for rhythms, both macroscopically and quantitatively. The chronomics analysis toolkit (CATkit), an R package for analysis of periodicities in time series, is a free and open source suite of rhythm analysis tools that runs on UNIX, Windows, and Macintosh platforms. It is particularly well suited to the often scarce, frequently noisy, biological data, and is also applicable to long and/or denser records. CATkit includes a variety of tools, providing visualization and inspection tools to aid in determining whether data meet key assumptions for analysis; as well as quantitative assessment, by cosinor, of mean, amplitude and phase at an assumed period (or periods), with a measure of uncertainty for each parameter.     

mtDNA GeneExtractor: A computer tool for mtDNA gene/region information extraction

The analysis of considerable numbers of DNA sequences is largely dependent on the development of simple software tools for automatically process the genetic data deposited on public databases. However, there are some difficulties in the automation process due to diverse synonyms being used as qualifiers for genes and some inconsistencies in gene locations between related Primate species, this fact happening even in the carefully curated database RefSeq. Here, we present mtDNA GeneEXtractor, a Windows based computer tool developed for the extraction of information for particular gene/regions from mammal mitochondrial DNA sequences deposited under GenBank format. The tool was quite efficient in retrieving organized information for comparative mtDNA gene/region diversity analyses when tested for the evaluation of transition/transversion ratios in humans and between Primates. Taking phylogenetic information into account to avoid redundancy due to ancestry-sharing, the transition/transversion ratios in the 13 protein-coding genes had a mean value of 12.46 for Primates (from 6.46 in ND2 to 17.04 in COX1) and higher (34.74) but more heterogeneous (ranging from 17.30 in ND5 to 74.39 in ND4) in a worldwide human database. The similar patterns of transition/transversion ratios in all positions and in only four fold degenerate positions show no evidence for selection in the 13 mtDNA protein-coding genes.     

MapDraw，在Excel中绘制遗传连锁图的宏

MAPMAKER是现今广泛使用的遗传连锁数据分析软件,然而其广泛使用的DOS版本却不具有连锁图绘制功能,给连锁作图工作带来了相当大的麻烦。为了解决这一问题,我们以大家广泛使用的数据处理软件Microsoft Excel为平台,编写了一个Excel宏——MapDraw来在轻松的操作中实现遗传连锁图的绘制。 Abstract:MAPMAKER is one of the most widely used computer software package for constructing genetic linkage maps.However,the PC version,MAPMAKER 3.0 for PC,could not draw the genetic linkage maps that its Macintosh version,MAPMAKER 3.0 for Macintosh,was able to do.Especially in recent years,Macintosh computer is much less popular than PC.Most of the geneticists use PC to analyze their genetic linkage data.So a new computer software to draw the same genetic linkage maps on PC as the MAPMAKER for Macintosh to do on Macintosh has been crying for.Microsoft Excel,one component of Microsoft Office package,is one of the most popular software in laboratory data processing.Microsoft Visual Basic for Applications (VBA) is one of the most powerful functions of Microsoft Excel.Using this program language,we can take creative control of Excel,including genetic linkage map construction,automatic data processing and more.In this paper,a Microsoft Excel macro called MapDraw is constructed to draw genetic linkage maps on PC computer based on given genetic linkage data.Use this software,you can freely construct beautiful genetic linkage map in Excel and freely edit and copy it to Word or other application.This software is just an Excel format file.You can freely copy it from ftp://211.69.140.177 or ftp://brassica.hzau.edu.cn and the source code can be found in Excel′s Visual Basic Editor.     

Seqcrawler: biological data indexing and browsing platform

ABSTRACT: BACKGROUND: Seqcrawler takes its roots in software like SRS or Lucegene. It provides an indexing platform to ease the search of data and meta-data in biological banks and it can scale to face the current flow of data. While many biological bank search tools are available on the Internet, mainly provided by large organizations to search in their data, there is a lack of free and open source solution to browse one own set of data with a flexible query system and able to scale from single computer to a cloud system. A personal index platform will help labs and bioinformaticians to search in their meta-data but also to build a larger information system with custom subsets of data. RESULTS: The software is scalable from a single computer to a cloud-based infrastructure. It has been successfully tested in a private cloud with 3 index shards (piece of index) hosting ~400 millions of sequence information (whole GenBank, UniProt, PDB and others) for a total size of 600 GB in a fault tolerant architecture (high-availability). It has also been successfully integrated with software to add extra meta-data from blast results to enhance user's result analysis. CONCLUSIONS: Seqcrawler provides a complete open source search and store solution for labs or platforms needing to manage large amount of data/meta-data with a flexible and customizable web interface. All components (search engine, visualization and data storage), though independent, share a common and coherent data system that can be queried with a simple HTTP interface. The solution scales easily and can also provide a high availability infrastructure.     

GenBank.

The GenBank (Registered Trademark symbol) sequence database incorporates DNA sequences from all available public sources, primarily through the direct submission of sequence data from individual laboratories and from large-scale sequencing projects. Most submitters use the BankIt (Web) or Sequin programs to format and send sequence data. Data exchange with the EMBL Data Library and the DNA Data Bank of Japan helps ensure comprehensive worldwide coverage. GenBank data is accessible through NCBI's integrated retrieval system, Entrez, which integrates data from the major DNA and protein sequence databases along with taxonomy, genome and protein structure information. MEDLINE (Registered Trademark symbol) s from published articles describing the sequences are included as an additional source of biological annotation through the PubMed search system. Sequence similarity searching is offered through the BLAST series of database search programs. In addition to FTP, Email, and server/client versions of Entrez and BLAST, NCBI offers a wide range of World Wide Web retrieval and analysis services based on GenBank data. The GenBank database and related resources are freely accessible via the URL: http://www.ncbi.nlm.nih.gov     

Artificial neural network-aided image analysis system for cell counting.

BACKGROUND: In histological preparations containing debris and synthetic materials, it is difficult to automate cell counting using standard image analysis tools, i.e., systems that rely on boundary contours, histogram thresholding, etc. In an attempt to mimic manual cell recognition, an automated cell counter was constructed using a combination of artificial intelligence and standard image analysis methods. METHODS: Artificial neural network (ANN) methods were applied on digitized microscopy fields without pre-ANN feature extraction. A three-layer feed-forward network with extensive weight sharing in the first hidden layer was employed and trained on 1,830 examples using the error back-propagation algorithm on a Power Macintosh 7300/180 desktop computer. The optimal number of hidden neurons was determined and the trained system was validated by comparison with blinded human counts. System performance at 50x and lO0x magnification was evaluated. RESULTS: The correlation index at 100x magnification neared person-to-person variability, while 50x magnification was not useful. The system was approximately six times faster than an experienced human. CONCLUSIONS: ANN-based automated cell counting in noisy histological preparations is feasible. Consistent histology and computer power are crucial for system performance. The system provides several benefits, such as speed of analysis and consistency, and frees up personnel for other tasks.     

GB2sequin - A file converter preparing custom GenBank files for database submission

The typical wet lab user often annotates smaller sequences in the GenBank format, but resulting files are not accepted for database submission by NCBI. This makes submission of such annotations a cumbersome task. Here we present “GB2sequin” an easy-to-use web application that converts custom annotations in the GenBank format into the NCBI direct submission format Sequin. Additionally, the program generates a “five-column, tab-delimited feature table” and a FASTA file. Those are required for submission through BankIt or the update of an existing GenBank entry. We specifically developed “GB2sequin” for the regular wet lab researcher with strong focus on user-friendliness and flexibility. The application is equipped with an intuitive graphical interface and a comprehensive documentation. It can be employed to prepare any GenBank file for database submission and is freely available online at https://chlorobox.mpimp-golm.mpg.de/GenBank2Sequin.html.     

Clann: investigating phylogenetic information through supertree analyses

SUMMARY: Clann has been developed in order to provide methods of investigating phylogenetic information through the application of supertrees. AVAILABILITY: Clann has been precompiled for Linux, Apple Macintosh and Windows operating systems and is available from http://bioinf.may.ie/software/clann. Source code is available on request from the authors. SUPPLEMENTARY INFORMATION: Clann has been written in the C programming language. Source code is available on request.     

Bias explorer: measurements of compositional bias in EMBL and GenBank sequence files

A Windows application for compositional analysis of sequenced genomes (EMBL or GenBank flat files) is available as freeware. The application allows the user to quantify word bias using Markov chain analysis and it allows the user to generate sliding window data for GC-skew, AT-skew, purine excess, keto excess and discrete word counts. The mathematical routines reside in a dynamic link library (DLL), which can be used independently by other applications. The software is available for download at http://www.dfuni.dk/~anfu/Bioinformatics/Main.htm. This revised version was published online in June 2006 with corrections to the Cover Date.     

RRTree: relative-rate tests between groups of sequences on a phylogenetic tree

SUMMARY: RRTree is a user-friendly program for comparing substitution rates between lineages of protein or DNA sequences, relative to an outgroup, through relative rate tests. Genetic diversity is taken into account through use of several sequences, and phylogenetic relations are integrated by topological weighting. AVAILABILITY: The ANSI C source code of RRTree, and compiled versions for Macintosh, MS-DOS/Windows, SUN Solaris, and CGI, are freely available at http://pbil.univ-lyon1.fr/software/rrtree.html CONTACT: marc.robinson@ens-lyon.fr     

MMDB: Entrez's 3D-structure database

Three-dimensional structures are now known within most protein families and it is likely, when searching a sequence database, that one will identify a homolog of known structure. The goal of Entrez's 3D-structure database is to make structure information and the functional annotation it can provide easily accessible to molecular biologists. To this end, Entrez's search engine provides several powerful features: (i) links between databases, for example between a protein's sequence and structure; (ii) pre-computed sequence and structure neighbors; and (iii) structure and sequence/structure alignment visualization. Here, we focus on a new feature of Entrez's Molecular Modeling Database (MMDB): Graphical summaries of the biological annotation available for each 3D structure, based on the results of automated comparative analysis. MMDB is available at: http://www.ncbi.nlm.nih.gov/Entrez/structure.html.     

ANDY: a general, fault-tolerant tool for database searching on computer clusters

SUMMARY: ANDY (seArch coordination aND analYsis) is a set of Perl programs and modules for distributing large biological database searches, and in general any sequence of commands, across the nodes of a Linux computer cluster. ANDY is compatible with several commonly used distributed resource management (DRM) systems, and it can be easily extended to new DRMs. A distinctive feature of ANDY is the choice of either dedicated or fair-use operation: ANDY is almost as efficient as single-purpose tools that require a dedicated cluster, but it runs on a general-purpose cluster along with any other jobs scheduled by a DRM. Other features include communication through named pipes for performance, flexible customizable routines for error-checking and summarizing results, and multiple fault-tolerance mechanisms. Availability: ANDY is freely available and can be obtained from http://compbio.berkeley.edu/proj/andy. SUPPLEMENTARY INFORMATION: Supplemental data, figures, and a more detailed overview of the software are found at http://compbio.berkeley.edu/proj/andy.     

Development of the receptor database (RDB): application to the endocrine disruptor problem.

MOTIVATION: To represent various aspects of receptors effectively, we developed the receptor database (RDB), using an object-oriented database management system ACEDB and the Internet/WWW technology. RESULTS: RDB was constructed so that the system collects data items such as attributes of proteins from distributed data sources of the Internet, and so that it provides various viewing tools effectively, depending on different types of receptor data. Such sources include standard international biological databases such as the up-to-date database of PIR, Swiss Prot, PDB, GenBank and GDB. Application to the endocrine disruptor problem is presented. AVAILABILITY: RDB is available through the Internet at http://impact.nihs.go.jp/RDB.html.