Tools   Select Another Resource Report Type

http://www.optimaldesign.com/ArrayMiner/ArrayMiner.htm

A set of analysis tools using advanced algorithms to reveal the true structure of your gene expression data.

Proper citation: ArrayMiner (RRID:SCR_011955) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/projects/mirplant/

A user-friendly plant miRNA prediction tool.

Proper citation: miRPlant (RRID:SCR_012105) Copy   

•   Source: SciCrunch Registry

https://code.google.com/p/slidesort-bpr/

Software using a reference-free method for detecting clusters of breakpoints from the chromosomal rearrangements.

Proper citation: SlideSort-BPR (RRID:SCR_012079) Copy   

•   Source: SciCrunch Registry

http://www.bioinf.jku.at/software/fabia/fabia.html

A model-based technique for biclustering that is clustering rows and columns simultaneously.

Proper citation: FABIA (RRID:SCR_012002) Copy   

•   Source: SciCrunch Registry

http://mfpaq.sourceforge.net/

Software that allows fast and user-friendly verification of Mascot result files, as well as data quantification using isotopic labeling methods (SILAC/ICAT) or label free approaches (spectral counting, MS signal comparison).

Proper citation: MFPaQ (RRID:SCR_012049) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/projects/multiplierz/

An open-source Python-based environment that provides a scriptable framework for efficient access to manufacturers'' proprietary data files via mzAPI.

Proper citation: multiplierz (RRID:SCR_012058) Copy   

•   Source: SciCrunch Registry

http://www.computationalbioenergy.org/meta-storms.html

Optimized GPU-based software to efficiently measure the quantitative phylogenetic similarity among massive amount of microbial community samples.

Proper citation: GPU-Meta-Storms (RRID:SCR_012029) Copy   

•   Source: SciCrunch Registry

http://opencobra.sourceforge.net/openCOBRA/Welcome.html

Software Python package that provides support for basic COnstraint-Based Reconstruction and Analysis (COBRA) methods.

Proper citation: COBRApy (RRID:SCR_012096) Copy   

•   Source: SciCrunch Registry

https://code.google.com/p/netcoffee/

A fast and accurate algorithm which allows to find a global alignment of multiple protein-protein interaction networks.

Proper citation: NetCoffee (RRID:SCR_012095) Copy   

•   Source: SciCrunch Registry

https://code.google.com/p/cell-motility/

An open source Java application that provides a clear and concise analysis workbench for large amounts of cell motion data.

Proper citation: Cell motility (RRID:SCR_012120) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/projects/isdtool/files/ISDTool-2.0/

Software that implements a computational model for predicting immunosuppressive domains (ISDs). The software could be used to identify typical ISDs in retroviruses including HERV, HTLV, HIV, STLV, SIV and MLV.

Proper citation: ISDTool (RRID:SCR_012125) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/projects/ngopt/

Software that produces high quality microbial genome assemblies on a laptop computer without any parameter tuning. A5-miseq does this by automating the process of adapter trimming, quality filtering, error correction, contig and scaffold generation, and detection of misassemblies. Unlike the original A5 pipeline, A5-miseq can use long reads from the Illumina MiSeq, use read pairing information during contig generation, and includes several improvements to read trimming.

Proper citation: A5-miseq (RRID:SCR_012148) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/projects/plek/

An alignment-free software tool which uses a computational pipeline based on an improved k-mer scheme and a support vector machine (SVM) algorithm to distinguish lncRNAs from messenger RNAs (mRNAs), in the absence of genomic sequences or annotations. It is especially suitable for PacBio or 454 sequencing data and large-scale transcriptome data.

Proper citation: PLEK (RRID:SCR_012132) Copy   

•   Source: SciCrunch Registry

https://code.google.com/p/reditools/

A suite of python scripts to perform high-throughput investigation of RNA editing using next-generation sequencing data.

Proper citation: REDItools (RRID:SCR_012133) Copy   

•   Source: SciCrunch Registry

https://code.google.com/p/icelogo/

Software that builds on probability theory to visualize significant conserved sequence patterns in multiple peptide sequence alignments against background (reference) sequence sets that can be tailored to the studied system and the used protocol.

Proper citation: iceLogo (RRID:SCR_012137) Copy   

•   Source: SciCrunch Registry

https://code.google.com/p/automotifserver/

Software that predicts the wide selection of 88 different types of the single amino acid post-translational modifications (PTM) in protein sequences. The source code and precompiled binaries of brainstorming tool are available under Apache licensing.

Proper citation: AMS (RRID:SCR_012140) Copy   

•   Source: SciCrunch Registry

http://sourceforge.net/projects/phosphosite/

A bioinformatical software tool for analyzing (quantitative) phosphoproteome datasets. The program retrieves kinase-substrate predictions from NetworKIN and contains various statistical modules for futher analysis.

Proper citation: PhosphoSiteAnalyzer (RRID:SCR_012142) Copy   

•   Source: SciCrunch Registry

http://bioinfo.cipf.es/isacghtrac

Software to analyze CNV that will now normalize arrays CGH and it will visually integrate different genome annotations.

Proper citation: IsaCGH (RRID:SCR_008375) Copy   

•   Source: SciCrunch Registry

http://griffin.cbrc.jp/

Griffin (G-protein-receptor interacting feature finding instrument) is a high-throughput system to predict GPCR - G-protein coupling selectively with the input of GPCR sequence and ligand molecular weight. This system consists of two parts: 1) HMM section using family specific multiple alignment of GPCRs, 2) SVM section using physico-chemical feature vectors in GPCR sequence. G-protein coupled receptors (GPCR), which is composed of seven transmembrane helices, play a role as interface of signal transduction. The external stimulation for GPCR, induce the coupling with G-protein (Gi/o, Gq/11, Gs, G12/13) followed by different kinds of signal transduction to inner cell. About half of distributed drugs are intending to control this GPCR - G-protein binding system, and therefore this system is important research target for the development of effective drug. For this purpose, it is necessary to monitor, effectively and comprehensively, of the activation of G-protein by identifying ligand combined with GPCR. Since, at present, it is difficult to construct such biochemical experiment system, if the answers for experimental results can be prepared beforehand by using bioinformatics techniques, large progress is brought to G-protein related drug design. Previous works for predicting GPCR-G protein coupling selectivity are using sequence pattern search, statistical models, and HMM representations showed high sensitivity of predictions. However, there are still no works that can predict with both high sensitivity and specificity. In this work we extracted comprehensively the physico-chemical parameters of each part of ligand, GPCR and G-protein, and choose the parameters which have strong correlation with the coupling selectivity of G-protein. These parameters were put as a feature vector, used for GPCR classification based on SVM.

Proper citation: G protein receptor interaction feature finding instrument (RRID:SCR_008343) Copy   

•   Source: SciCrunch Registry

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   

•   Source: SciCrunch Registry