Prophet, a web-based tool for class prediction using microarray data

Sample classification and class prediction is the aim of many gene expression studies. We present a web-based application, Prophet, which builds prediction rules and allows using them for further sample classification. Prophet automatically chooses the best classifier, along with the optimal selection of genes, using a strategy that renders unbiased cross-validated errors. Prophet is linked to different microarray data analysis modules, and includes a unique feature: the possibility of performing the functional interpretation of the molecular signature found. Availability: Prophet can be found at the URL http://prophet.bioinfo.cipf.es/ or within the GEPAS package at http://www.gepas.org/ Supplementary information: http://gepas.bioinfo.cipf.es/tutorial/prophet.html.     

基因表达数据聚类分析技术及其软件工具

随着DNA芯片技术的广泛应用,基因表达数据分析已成为生命科学的研究热点之一。概述基因表达聚类技术类型、算法分类与特点、结果可视化与注释;阐述一些流行的和新型的算法;介绍17个最新相关软件包和在线web服务工具;并说明软件工具的研究趋向。     

Terminal restriction fragment length polymorphism analysis program, a web-based research tool for microbial community analysis

Rapid analysis of microbial communities has proven to be a difficult task. This is due, in part, to both the tremendous diversity of the microbial world and the high complexity of many microbial communities. Several techniques for community analysis have emerged over the past decade, and most take advantage of the molecular phylogeny derived from 16S rRNA comparative sequence analysis. We describe a web-based research tool located at the Ribosomal Database Project web site (http://www.cme.msu.edu/RDP/html/analyses. html) that facilitates microbial community analysis using terminal restriction fragment length polymorphism of 16S ribosomal DNA. The analysis function (designated TAP T-RFLP) permits the user to perform in silico restriction digestions of the entire 16S sequence database and derive terminal restriction fragment sizes, measured in base pairs, from the 5' terminus of the user-specified primer to the 3' terminus of the restriction endonuclease target site. The output can be sorted and viewed either phylogenetically or by size. It is anticipated that the site will guide experimental design as well as provide insight into interpreting results of community analysis with terminal restriction fragment length polymorphisms.     

InteractiVenn: a web-based tool for the analysis of sets through Venn diagrams

Background

Set comparisons permeate a large number of data analysis workflows, in particular workflows in biological sciences. Venn diagrams are frequently employed for such analysis but current tools are limited.

Results

We have developed InteractiVenn, a more flexible tool for interacting with Venn diagrams including up to six sets. It offers a clean interface for Venn diagram construction and enables analysis of set unions while preserving the shape of the diagram. Set unions are useful to reveal differences and similarities among sets and may be guided in our tool by a tree or by a list of set unions. The tool also allows obtaining subsets’ elements, saving and loading sets for further analyses, and exporting the diagram in vector and image formats. InteractiVenn has been used to analyze two biological datasets, but it may serve set analysis in a broad range of domains.

Conclusions

InteractiVenn allows set unions in Venn diagrams to be explored thoroughly, by consequence extending the ability to analyze combinations of sets with additional observations, yielded by novel interactions between joined sets. InteractiVenn is freely available online at: www.interactivenn.net.     

GS2PATH: a web-based integrated analysis tool for finding functional relationships using gene ontology and biochemical pathway data

GS2PATH is a Web-based pipeline tool to permit functional enrichment of a given gene set from prior knowledge databases, including gene ontology (GO) database and biological pathway databases. The tool also provides an estimation of gene set enrichment, in GO terms, from the databases of the KEGG and BioCarta pathways, which may allow users to compute and compare functional over-representations. This is especially useful in the perspective of biological pathways such as metabolic, signal transduction, genetic information processing, environmental information processing, cellular process, disease, and drug development. It provides relevant images of biochemical pathways with highlighting of the gene set by customized colors, which can directly assist in the visualization of functional alteration.

Availability     

SignS: a parallelized,open-source,freely available,web-based tool for gene selection and molecular signatures for survival and censored data

Background  

Censored data are increasingly common in many microarray studies that attempt to relate gene expression to patient survival. Several new methods have been proposed in the last two years. Most of these methods, however, are not available to biomedical researchers, leading to many re-implementations from scratch of ad-hoc, and suboptimal, approaches with survival data.     

SNiPlay: a web-based tool for detection,management and analysis of SNPs. Application to grapevine diversity projects

Background  

High-throughput re-sequencing, new genotyping technologies and the availability of reference genomes allow the extensive characterization of Single Nucleotide Polymorphisms (SNPs) and insertion/deletion events (indels) in many plant species. The rapidly increasing amount of re-sequencing and genotyping data generated by large-scale genetic diversity projects requires the development of integrated bioinformatics tools able to efficiently manage, analyze, and combine these genetic data with genome structure and external data.     

Kiwi: a tool for integration and visualization of network topology and gene-set analysis

Background

The analysis of high-throughput data in biology is aided by integrative approaches such as gene-set analysis. Gene-sets can represent well-defined biological entities (e.g. metabolites) that interact in networks (e.g. metabolic networks), to exert their function within the cell. Data interpretation can benefit from incorporating the underlying network, but there are currently no optimal methods that link gene-set analysis and network structures.

Results

Here we present Kiwi, a new tool that processes output data from gene-set analysis and integrates them with a network structure such that the inherent connectivity between gene-sets, i.e. not simply the gene overlap, becomes apparent. In two case studies, we demonstrate that standard gene-set analysis points at metabolites regulated in the interrogated condition. Nevertheless, only the integration of the interactions between these metabolites provides an extra layer of information that highlights how they are tightly connected in the metabolic network.

Conclusions

Kiwi is a tool that enhances interpretability of high-throughput data. It allows the users not only to discover a list of significant entities or processes as in gene-set analysis, but also to visualize whether these entities or processes are isolated or connected by means of their biological interaction. Kiwi is available as a Python package at http://www.sysbio.se/kiwi and an online tool in the BioMet Toolbox at http://www.biomet-toolbox.org.

Electronic supplementary material

The online version of this article (doi:10.1186/s12859-014-0408-9) contains supplementary material, which is available to authorized users.     

T-Align, a web-based tool for comparison of multiple terminal restriction fragment length polymorphism profiles

Terminal restriction fragment length polymorphism (tRFLP) is a potentially high-throughput method for the analysis of complex microbial communities. Comparison of multiple tRFLP profiles to identify shared and unique components of microbial communities however, is done manually, which is both time consuming and error prone. This paper describes a freely accessible web-based program, T-Align (http://inismor.ucd.ie/~talign/), which addresses this problem. Initially replicate profiles are compared and used to generate a single consensus profile containing only terminal restriction fragments that occur in all replicate profiles. Subsequently consensus profiles representing different communities are compared to produce a list showing whether a terminal restriction fragment (TRF) is present in a particular sample and its relative fluorescence intensity. The use of T-Align thus allows rapid comparison of numerous tRFLP profiles. T-Align is demonstrated by alignment of tRFLP profiles generated from bacterioplankton communities collected from the Irish and Celtic Seas in November 2000. Ubiquitous TRFs and site-specific TRFs were identified using T-Align.     

CAP-miRSeq: a comprehensive analysis pipeline for microRNA sequencing data

Background

miRNAs play a key role in normal physiology and various diseases. miRNA profiling through next generation sequencing (miRNA-seq) has become the main platform for biological research and biomarker discovery. However, analyzing miRNA sequencing data is challenging as it needs significant amount of computational resources and bioinformatics expertise. Several web based analytical tools have been developed but they are limited to processing one or a pair of samples at time and are not suitable for a large scale study. Lack of flexibility and reliability of these web applications are also common issues.

Results

We developed a Comprehensive Analysis Pipeline for microRNA Sequencing data (CAP-miRSeq) that integrates read pre-processing, alignment, mature/precursor/novel miRNA detection and quantification, data visualization, variant detection in miRNA coding region, and more flexible differential expression analysis between experimental conditions. According to computational infrastructure, users can install the package locally or deploy it in Amazon Cloud to run samples sequentially or in parallel for a large number of samples for speedy analyses. In either case, summary and expression reports for all samples are generated for easier quality assessment and downstream analyses. Using well characterized data, we demonstrated the pipeline’s superior performances, flexibility, and practical use in research and biomarker discovery.

Conclusions

CAP-miRSeq is a powerful and flexible tool for users to process and analyze miRNA-seq data scalable from a few to hundreds of samples. The results are presented in the convenient way for investigators or analysts to conduct further investigation and discovery.

Electronic supplementary material

The online version of this article (doi:10.1186/1471-2164-15-423) contains supplementary material, which is available to authorized users.     

Sequential principal components analysis,a tool for cluster detection in large bacteriophage-typing data samples

Using, as an example, the susceptibility of 437 bacterial strains (belonging to nomenspecies of the genera,Pseudomonas andXanthomonas) to 86 bacteriophage preparations, this study describes how sequential removal of the more distinctive emerging clusters (or selected groups of elements with prior knowledge of their taxonomic relationships) in a principal components analysis can be employed to analyze, the affinities among the remaining original numerical units. The initial, well-defined clusters had a constraining impact on other elements. This constraint was eased upon successive removal from the data matrix of initially distinctive clusters, thereby enabling clearer views of the relationships among the remaining elements. This procedure (sequential principal components analysis) might be used to evaluate the impacts of individual taxa in a numerical classification.     

sIR: siRNA Information Resource,a web-based tool for siRNA sequence design and analysis and an open access siRNA database

Background  

RNA interference has revolutionized our ability to study the effects of altering the expression of single genes in mammalian (and other) cells through targeted knockdown of gene expression. In this report we describe a web-based computational tool, siRNA Information Resource (sIR), which consists of a new open source database that contains validation information about published siRNA sequences and also provides a user-friendly interface to design and analyze siRNA sequences against a chosen target sequence.     

EST2uni: an open,parallel tool for automated EST analysis and database creation,with a data mining web interface and microarray expression data integration

Background  

Expressed sequence tag (EST) collections are composed of a high number of single-pass, redundant, partial sequences, which need to be processed, clustered, and annotated to remove low-quality and vector regions, eliminate redundancy and sequencing errors, and provide biologically relevant information. In order to provide a suitable way of performing the different steps in the analysis of the ESTs, flexible computation pipelines adapted to the local needs of specific EST projects have to be developed. Furthermore, EST collections must be stored in highly structured relational databases available to researchers through user-friendly interfaces which allow efficient and complex data mining, thus offering maximum capabilities for their full exploitation.     

Automatic correspondence of tags and genes (ACTG): a tool for the analysis of SAGE, MPSS and SBS data

A critical step in any SAGE, MPSS and SBS data analysis is tag-to-gene assignment. Current available tools are limited by a tag-by-tag annotation process and/or do not provide the dataset that is used to produce a complete tag-to-gene mapping. We developed ACTG, a web-based application that allows a large-scale tag-to-gene mapping using several reference datasets. ACTG can annotate SAGE (14 or 21 bp), MPSS (17 or 20 bp) and SBS (16 bp) data for both human and mouse organisms. AVAILABILITY: http://retina.med.harvard.edu/ACTG/. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.     

16S-ARDRA, a tool for identification of lactic acid bacteria isolated from grape must and wine

Lactic acid bacteria (LAB) are found in a great variety of habitats, including grape must and wines. There is a close relationship between the species of LAB which develop during fermentation and the eventual quality of the wine. For these reasons analytical techniques allowing fast and reliable identification of wine LAB are needed. In this work a simple and accurate protocol for identifying species of LAB isolated from grape must and wine is presented. This protocol is based on the amplification, directly from colony, of 16S rDNA and later digestion with one of the following restriction enzymes BfaI, MseI and AluI. A sequential use of the three enzymes is proposed to simplify LAB wine identification, first MseI, then BfaI and finally, if necessary, AluI digestion. The technique was able to discriminate 32 of the 36 LAB reference species tested and allowed the identification of 342 isolates from musts and wines. The isolates belonged to the species: Lactobacillus brevis, L. collinoides, L. coryniformis, L. bilgardii, L. mali, L. paracasei, Leuconostoc mesenteroides, Oenococcus oeni, Pediococcus parvulus and P. pentosaceus.     

Scale Insects,edition 2, a tool for the identification of potential pest scales at U.S.A. ports-of-entry (Hemiptera,Sternorrhyncha, Coccoidea)

We provide a general overview of features and technical specifications of an online, interactive tool for the identification of scale insects of concern to the U.S.A. ports-of-entry. Full lists of terminal taxa included in the keys (of which there are four), a list of features used in them, and a discussion of the structure of the tool are provided. We also briefly discuss the advantages of interactive keys for the identification of potential scale insect pests. The interactive key is freely accessible on http://idtools.org/id/scales/index.php