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MicrobesOnline is designed specifically to facilitate comparative studies on prokaryotic genomes. It is an entry point for operon, regulons, cis-regulatory and network predictions based on comparative analysis of genomes. The portal includes over 1000 complete genomes of bacteria, archaea and fungi and thousands of expression microarrays from diverse organisms ranging from model organisms such as Escherichia coli and Saccharomyces cerevisiae to environmental microbes such as Desulfovibrio vulgaris and Shewanella oneidensis. To assist in annotating genes and in reconstructing their evolutionary history, MicrobesOnline includes a comparative genome browser based on phylogenetic trees for every gene family as well as a species tree. To identify co-regulated genes, MicrobesOnline can search for genes based on their expression profile, and provides tools for identifying regulatory motifs and seeing if they are conserved. MicrobesOnline also includes fast phylogenetic profile searches, comparative views of metabolic pathways, operon predictions, a workbench for sequence analysis and integration with RegTransBase and other microbial genome resources. The next update of MicrobesOnline will contain significant new functionality, including comparative analysis of metagenomic sequence data. Programmatic access to the database, along with source code and documentation, is available at http://microbesonline.org/programmers.html.
Proper citation: MicrobesOnline (RRID:SCR_005507) Copy
http://diprogb.fli-leibniz.de/
Genome browser that encodes the genome sequence by physico-chemical dinucleotide properties such as stacking energy, melting temperature or twist angle. Analyses can be performed for the + and ?, as well as for the double strand.
Proper citation: DiProGB (RRID:SCR_005651) Copy
https://cgwb.nci.nih.gov/goldenPath/bamview/documentation/index.html
A variant detector and graphical alignment viewer for next-generation sequencing data in the SAM/BAM format, which is capable of pooling data from multiple source files. Bambino may be launched online via Java Web Start or downloaded and run locally.
Proper citation: Bambino (RRID:SCR_005649) Copy
http://pellegrini.mcdb.ucla.edu/BS_Seeker/BS_Seeker.html
Software which performs accurate and fast mapping of bisulfite-treated short reads. Supplementary information and examples are provided on the site.
Proper citation: BS Seeker (RRID:SCR_005641) Copy
http://www.bioconductor.org/packages/devel/bioc/html/DMRforPairs.html
Software for identifying differentially methylated regions between unique samples using array based methylation profiles. It allows researchers to compare n greater than or equal to 2 unique samples with regard to their methylation profile. The (pairwise) comparison of n unique single samples distinguishesit from other existing pipelines as these often compare groups of samples in either single CpG locus or region based analysis. DMRforPairs defines regions of interest as genomic ranges with sufficient probes located in close proximity to each other. Probes in one region are optionally annotated to the same functional class(es). Differential methylation is evaluated by comparing the methylation values within each region between individual samples and (if the difference is sufficiently large), testing this difference formally for statistical significance.
Proper citation: DMRforPairs (RRID:SCR_005702) Copy
http://www.bioinformatics.babraham.ac.uk/projects/bismark/
Software tool to map bisulfite converted sequence reads and determine cytosine methylation states. Flexible aligner and methylation caller for Bisulfite-Seq applications. Used to map bisulfite treated sequencing reads to genome of interest and perform methylation calls in single step.
Proper citation: Bismark (RRID:SCR_005604) Copy
http://tmaj.pathology.jhmi.edu/
Open-source software to support information and images related to tissue micro-arrays. It contains support for multiple organ systems, multiple users, image analysis, and is designed to be compliant with HIPPA regulations. Patients, specimens, blocks, slides, cores, images, and scores can all be stored and viewed. Features include advanced security, custom dynamic fields, and an image analysis program.
Proper citation: TMAJ (RRID:SCR_005601) Copy
http://llama.mshri.on.ca/gofish/GoFishWelcome.html
Software program, available as a Java applet online or to download, allows the user to select a subset of Gene Ontology (GO) attributes, and ranks genes according to the probability of having all those attributes., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.
Proper citation: GoFish (RRID:SCR_005682) Copy
http://maq.sourceforge.net/maqview.shtml
A graphical read alignment viewer specifically designed for the Maq alignment file and allows you to see the mismatches, base qualities and mapping qualities. It is highly efficient in speed, memory and disk usage. Maqview is based on OpenGL and is known to work on both Mac OS X and Linux. Porting to Windows is in principle easy.
Proper citation: Maqview (RRID:SCR_005632) Copy
http://staden.sourceforge.net/
A fully developed set of DNA sequence assembly (Gap4 and Gap5), editing and analysis tools (Spin) for Unix, Linux, MacOSX and MS Windows.
Proper citation: Staden Package (RRID:SCR_005629) Copy
http://www.compgen.org/tools/metagen
Software program providing a method for meta-analysis of case-control genetic association studies using random-effects logistic regression.
Proper citation: metagen (RRID:SCR_003443) Copy
Research informatics and analytics platform for the IMI OncoTrack consortium.
Proper citation: eTRIKS (RRID:SCR_003765) Copy
http://genome.sph.umich.edu/wiki/RAREMETAL
A software program that facilitates the meta-analysis of rare variants from genotype arrays or sequencing.
Proper citation: RAREMETAL (RRID:SCR_003573) Copy
http://amp.pharm.mssm.edu/Enrichr/
A web-based gene list enrichment analysis tool that provides various types of visualization summaries of collective functions of gene lists. It includes new gene-set libraries, an alternative approach to rank enriched terms, and various interactive visualization approaches to display enrichment results using the JavaScript library, Data Driven Documents (D3). The software can also be embedded into any tool that performs gene list analysis. System-wide profiling of genes and proteins in mammalian cells produce lists of differentially expressed genes / proteins that need to be further analyzed for their collective functions in order to extract new knowledge. Once unbiased lists of genes or proteins are generated from such experiments, these lists are used as input for computing enrichment with existing lists created from prior knowledge organized into gene-set libraries.
Proper citation: Enrichr (RRID:SCR_001575) Copy
http://www.biostat.jhsph.edu/~hji/cisgenome/index.htm
Integrated software tool for tiling array, ChIP-seq, genome and cis-regulatory element analysis.
Proper citation: CisGenome (RRID:SCR_001558) Copy
http://www.bioconductor.org/packages/release/bioc/html/vsn.html
Software package that implements a method for normalizing microarray intensities, both between colours within array, and between arrays. The method uses a robust variant of the maximum-likelihood estimator for the stochastic model of microarray data described in the references. The model incorporates data calibration (a.k.a. normalization), a model for the dependence of the variance on the mean intensity, and a variance stabilizing data transformation. Differences between transformed intensities are analogous to normalized log-ratios. However, in contrast to the latter, their variance is independent of the mean, and they are usually more sensitive and specific in detecting differential transcription.
Proper citation: vsn (RRID:SCR_001459) Copy
An open source data warehouse system built for the integration and analysis of complex biological data that enables the creation of biological databases accessed by sophisticated web query tools. Parsers are provided for integrating data from many common biological data sources and formats, and there is a framework for adding data. InterMine includes a user-friendly web interface that works "out of the box" and can be easily customized for specific needs, as well as a powerful, scriptable web-service API to allow programmatic access to data.
Proper citation: InterMine (RRID:SCR_001772) Copy
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 23,2022. Friend is a bioinformatics application designed for simultaneous analysis and visualization of multiple structures and sequences of proteins and/or DNA/RNA. The application provides basic functionalities such as: structure visualization with different rendering and coloring, sequence alignment, and simple phylogeny analysis, along with a number of extended features to perform more complex analyses of sequence structure relationships, including: structural alignment of proteins, investigation of specific interaction motifs, studies of protein-protein and protein-DNA interactions, and protein super-families. Friend is also useful for the functional annotation of proteins, protein modeling, and protein folding studies. Friend provides three levels of usage; 1) an extensive GUI for a scientist with no programming experience, 2) a command line interface for scripting for a scientist with some programming experience, and 3) the ability to extend Friend with user written libraries for an experienced programmer. The application is linked and communicates with local and remote sequence and structure databases.
Proper citation: An Integrated Multiple Structure Visualization and Multiple Sequence Alignment Application (RRID:SCR_001646) Copy
http://protein.bio.unipd.it/pasta2/
Online interface that utilizes an algorithm to predict the most aggregation-prone portions and the corresponding beta-strand inter-molecular pairing for a given input sequence. Users can paste the sequence into the interface and output the appropriate sequence.
Proper citation: Prediction of Amyloid Structure Aggregation (RRID:SCR_001768) Copy
http://www.bioconductor.org/packages/release/bioc/html/unifiedWMWqPCR.html
Software package that implements the unified Wilcoxon-Mann-Whitney Test for qPCR data. This modified test allows for testing differential expression in qPCR data.
Proper citation: unifiedWMWqPCR (RRID:SCR_001706) Copy
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