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Software to determine most stable reference (housekeeping) genes from set of tested candidate reference genes in given sample panel. From this, gene expression normalization factor can be calculated for each sample based geometric mean of user-defined number of reference genes.
Proper citation: geNORM (RRID:SCR_006763) Copy
http://www.mediacy.com/imageproplus
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 18,2023. Software package to capture, process, measure, analyze and share images and data.
Proper citation: Image Pro Plus (RRID:SCR_007369) Copy
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on February 23,2023.Software package for comparison and analysis of microbial communities, primarily based on high-throughput amplicon sequencing data, but also supporting analysis of other types of data. QIMME analyzes and transforms raw sequencing data generated on Illumina or other platforms to publication quality graphics and statistics.
Proper citation: QIIME (RRID:SCR_008249) Copy
http://tree.bio.ed.ac.uk/software/figtree
A graphical viewer of phylogenetic trees and a program for producing publication-ready figures. It is designed to display summarized and annotated trees produced by BEAST.
Proper citation: FigTree (RRID:SCR_008515) Copy
http://bioinf.uni-greifswald.de/augustus/
Software for gene prediction in eukaryotic genomic sequences. Serves as a basis for further steps in the analysis of sequenced and assembled eukaryotic genomes.
Proper citation: Augustus (RRID:SCR_008417) Copy
This site is designed for researchers and students who want a quick way to generate random numbers or assign participants to experimental conditions. Research Randomizer can be used in a wide variety of situations, including psychology experiments, medical trials, and survey research. The program uses a JavaScript random number generator to produce customized sets of random numbers. Since its release in 1997, Research Randomizer has been used to generate number sets over 10.7 million times. This service is part of Social Psychology Network and is fast, free, and runs with any recent web browser as long as JavaScript isn''t disabled. Research Randomizer is a free service offered to students and researchers interested in conducting random assignment and random sampling. By using this service, you agree to abide by the SPN User Policy and to hold Research Randomizer and its staff harmless in the event that you experience a problem with the program or its results. Although every effort has been made to develop a useful means of generating random numbers, Research Randomizer and its staff do not guarantee the quality or randomness of numbers generated. Any use to which these numbers are put remains the sole responsibility of the user who generated them. What are the system requirements needed to run Research Randomizer? This program works best with Firefox and other recent web browsers. If you''re using a browser that came with America Online, or older browsers made prior to 2003, you may experience some difficulties with Research Randomizer. You may also not be able to use Research Randomizer with some limited-function browsers that do not fully support JavaScript, such as the Opera broswer used on certain game consoles. We would suggest that you update to a fairly recent, fully- functional stand-alone browser. How do I know what browser I am using? The easiest way to find this out is to click Help on the pulldown menu at the top of the screen. One of the options should be About Mozilla Firefox, About Internet Explorer, About Netscape, or something similar. Selecting this option will open a window that displays the name, version number, and copyright date of your browser. How does Research Randomizer generate its numbers? Research Randomizer uses the Math.random method within the JavaScript programming language to generate its random numbers for all modern web browsers. If you are using an older version of Microsoft Internet Explorer or Netscape Navigator (that is prior to version 4.0 of either), Research Randomizer uses an adaptation of the Central Randomizer by Paul Houle. Note that Research Randomizer no longer supports much-older browsers by other vendors (e.g., Mosaic). Who designed Research Randomizer? The original idea and programming for Research Randomizer came from Geoffrey C. Urbaniak in 1997. Research Randomizer was then jointly developed with Scott Plous, webmaster of Social Psychology Network, and online tutorials were added to the main program. In 1999 the site was redesigned with the assistance of Mike Lestik, in 2003 Mike Lestik added the download function, and in 2007 Mike Lestik and Scott Plous redesigned the site and added new content.
Proper citation: Research Randomizer (RRID:SCR_008563) Copy
http://salilab.org/modeller/modeller.html
Software tool as Program for Comparative Protein Structure Modelling by Satisfaction of Spatial Restraints. Used for homology or comparative modeling of protein three dimensional structures. User provides alignment of sequence to be modeled with known related structures and MODELLER automatically calculates model containing all non hydrogen atoms.
Proper citation: MODELLER (RRID:SCR_008395) Copy
http://www.sph.umich.edu/csg/abecasis/MACH/download/
QTL analysis based on imputed dosages/posterior_probabilities.
Proper citation: MACH (RRID:SCR_009621) Copy
Web application to generate sequence logos, graphical representations of patterns within multiple sequence alignment. Designed to make generation of sequence logos easy. Sequence logo generator.
Proper citation: WEBLOGO (RRID:SCR_010236) Copy
Software package for sequence alignment, assembly and analysis. Integrated and extendable desktop software platform for organization and analysis of sequence data. Bioinformatics software platform packed with molecular biology and sequence analysis tools.
Proper citation: Geneious (RRID:SCR_010519) Copy
http://www.bcgsc.ca/platform/bioinfo/software/abyss
Software providing de novo, parallel, paired-end sequence assembler that is designed for short reads. ABySS 1.0 originally showed that assembling human genome using short 50 bp sequencing reads was possible by aggregating half terabyte of compute memory needed over several computers using standardized message passing system. ABySS 2.0 is Resource Efficient Assembly of Large Genomes using Bloom Filter. ABySS 2.0 departs from MPI and instead implements algorithms that employ Bloom filter, probabilistic data structure, to represent de Bruijn graph and reduce memory requirements.
Proper citation: ABySS (RRID:SCR_010709) Copy
http://bioinf.wehi.edu.au/limma/
Software package for the analysis of gene expression microarray data, especially the use of linear models for analyzing designed experiments and the assessment of differential expression.
Proper citation: LIMMA (RRID:SCR_010943) Copy
http://www.moleculardevices.com/products/software/pclamp.html
Software suite for electrophysiology data acquisition and analysis by Molecular Devices. Used for the control and recording of voltage clamp, current clamp, and patch clamp experiments. The software suite consists of Clampex 11 Software for data acquisition, AxoScope 11 Software for background recording, Clampfit 11 Software for data analysis, and optional Clampfit Advanced Analysis Module for sophisticated and streamlined analysis.
Proper citation: pClamp (RRID:SCR_011323) Copy
http://bio-bwa.sourceforge.net/
Software for aligning sequencing reads against large reference genome. Consists of three algorithms: BWA-backtrack, BWA-SW and BWA-MEM. First for sequence reads up to 100bp, and other two for longer sequences ranged from 70bp to 1Mbp.
Proper citation: BWA (RRID:SCR_010910) Copy
https://github.com/hyattpd/Prodigal
Software tool for protein coding gene prediction for prokaryotic genomes.
Proper citation: Prodigal (RRID:SCR_011936) Copy
http://i122server.vu-wien.ac.at/CANGS1.1/
A user-friendly utility for processing and analyzing 454 GS-FLX data in biodiversity studies.
Proper citation: CANGS (RRID:SCR_011837) Copy
Ratings or validation data are available for this resource
http://ccb.jhu.edu/software/tophat/index.shtml
Software tool for fast and high throughput alignment of shotgun cDNA sequencing reads generated by transcriptomics technologies. Fast splice junction mapper for RNA-Seq reads. Aligns RNA-Seq reads to mammalian-sized genomes using ultra high-throughput short read aligner Bowtie, and then analyzes mapping results to identify splice junctions between exons.TopHat2 is accurate alignment of transcriptomes in presence of insertions, deletions and gene fusions.
Proper citation: TopHat (RRID:SCR_013035) Copy
http://www.bioconductor.org/packages/release/bioc/html/minfi.html
Software tools for analyzing and visualizing Illumina''s 450k array data.
Proper citation: minfi (RRID:SCR_012830) Copy
http://www.bioconductor.org/packages/release/bioc/html/affy.html
Software R package of functions and classes for the analysis of oligonucleotide arrays manufactured by Affymetrix. Used to process probe level data and for exploratory oligonucleotide array analysis.
Proper citation: affy (RRID:SCR_012835) Copy
A commercial software tool for statistical analysis.
Proper citation: SyStat (RRID:SCR_010455) Copy
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