Search Results for "bmc"
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Showing 31 open source projects for "bmc"
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BIGSdb
Software for storing and analysing bacterial sequence data
...The system incorporates the capacity to define and identify any number of loci and genetic variants at those loci within the stored nucleotide sequences. These loci can be further organised into schemes for isolate characterisation or for evolutionary or functional analyses. See Jolley and Maiden 2010, BMC Bioinformatics 11:595 (http://www.biomedcentral.com/1471-2105/11/595). You can report bugs or make enhancement requests using the issues tracker at https://github.com/kjolley/BIGSdb. The source code is also mirrored there. -
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The package generates a feature table from a batch of LC/MS spectra in .cdf format. Instructions: http://www.sph.emory.edu/apLCMS/ References Bioinformatics. 25(15):1930-36. BMC Bioinformatics. 11:559.
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GelJ
GelJ is a Java program for the analysis of DNA gel fingerprints images
...Some of the outstanding features of GelJ are functionality for accurate lane- and band-detection, several methods for computing migration models and generating dendrograms, comparison of banding patterns from different experiments, and database support. Citing GelJ: J. Heras, C. Domínguez, E. Mata, and V. Pascual. GelJ – a tool for analyzing DNA fingerprint gel images. BMC Bioinformatics 2015, 16:270 http://doi.org/10.1186/s12859-015-0703-0. You can see more information about GelJ in https://sourceforge.net/p/gelj/wiki/Home/ Several videos explaining the use of GelJ are available in https://sourceforge.net/p/gelj/wiki/Videos/ Please address any question or comment to joheras at gmail.com -
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miRprimer
Automatic design of primers for miR-specific RT-qPCR
miRprimer designs primers for PCR amplification of microRNAs as described (Busk (2014). A tool for design of primers for microRNA-specific quantitative RT-qPCR. BMC Bioinformatics. 15, 29) for use with the method miR-specific RT-qPCR (Cirera, S., and Busk, P.K. (2014). Quantification of miRNAs by a simple and specific qPCR method. Methods in Molecular Biology. 1182, 73-81.). The program was written in Ruby and is available as source code for developers and as an .exe file for easy use. -
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LMAP_S
Lightweight Multigene Alignment and Phylogeny eStimation
Emanuel Maldonado and Agostinho Antunes (2019) LMAP_S: Lightweight Multigene Alignment and Phylogeny eStimation. BMC Bioinformatics, 20:739. doi: https://doi.org/10.1186/s12859-019-3292-5 -
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mirplant
miRPlant: An Integrated Tool for Identification of Plant miRNA
please cite: An J, Lai J, Sajjanhar A, Lehman ML, Nelson CC: miRPlant: an integrated tool for identification of plant miRNA from RNA sequencing data. BMC bioinformatics 2014, 15(1):275. We will create index for you if you tell us your interested plants (j.an@qut.edu.au). -
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isiKnock
In silico knockouts for signaling pathways
...Hannig et al. (2019) isiKnock: in silico knockouts in signaling pathways, Bioinformatics, 35(5), 892–894 Amstein et al. (2017) Manatee invariants reveal functional pathways in signaling networks. BMC systems biology, 11(1), 72. Scheidel et al. (2016) In silico knockout studies of xenophagic capturing of Salmonella. PLoS computational biology, 12(12), e1005200. -
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LMAP
Lightweight Multigene Analyses in PAML
Maldonado E, Almeida D, Escalona T, Khan I, Vasconcelos V and Antunes A (2016) LMAP: Lightweight Multigene Analyses in PAML. BMC Bioinformatics, 17:354. doi: https://doi.org/10.1186/s12859-016-1204-5 -
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Barracuda is a high-speed sequence aligner based on Sanger's BWA and utilizes the latest Nvidia CUDA architecture for accelerating alignments of sequence reads generated by next-generation sequencers.
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EXCAVATOR2tool
Enhanced tool for detecting CNVs from whole-exome sequencing data
ATTENTION!!!!!ATTENTION!!!!!ATTENTION!!!!!ATTENTION!!!!! We recently published on BMC Genomics a novel software package, named XCAVATOR, for the identification of CNVs/CNAs from short and long reads whole-genome sequencing experiments (https://bmcgenomics.biomedcentral.com/articles/10.1186/s12864-017-4137-0). XCAVATOR is freely available at http://sourceforge.net/projects/xcavator/. EXCAVATOR2 is a collection of bash, R and Fortran scripts and codes that analyses Whole Exome Sequencing (WES) data to identify CNVs. ... -
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BayesRate
Bayesian estimation of diversification rates
...The methods are described in: Silvestro, D., Schnitzler, J. and Zizka, G. (2011) A Bayesian framework to estimate diversification rates and their variation through time and space. BMC Evolutionary Biology, 11, 311 Silvestro D., Zizka G. & Schulte K. (2014) Disentangling the effects of key innovations on the diversification of Bromelioideae (Bromeliaceae). Evolution, 68, 163-175. -
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DNA patterns & application
A software for generating DNA patterns
...The project also contains 20,000 images (DNA patterns) that can be analyzed in relation to various genetic disorders (if Homo Sapiens) or for understanding the evolutionary mechanisms between species. References: [1] Gagniuc and Ionescu-Tirgoviste: Eukaryotic genomes may exhibit up to 10 generic classes of gene promoters. BMC Genomics 2012, 13:512. [2] Gagniuc and Ionescu-Tîrgoviste. Gene promoters show chromosome specificity and reveal chromosome territories in humans, BMC Genomics 2013, 14:278. Source code VB6 (Visual Basic 6.0) -
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...Visit http://www.biomedcentral.com/1471-2164/15/858/abstract for the pdf article describing the utility of iMSAT and if you use the program please cite this article as: Andersen and Mills: iMSAT: a novel approach to the development of microsatellite loci using barcoded Illumina libraries. BMC Genomics 2014 15:858.
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Gen3D
A tool for 3D genome and chromosome structural model construction
...If you use Gen3D in your research, please cite: Nowotny, Jackson, Sharif Ahmed, Lingfei Xu, Oluwatosin Oluwadare, Hannah Chen, Noelan Hensley, Tuan Trieu, Renzhi Cao, and Jianlin Cheng. "Iterative reconstruction of three-dimensional models of human chromosomes from chromosomal contact data." BMC bioinformatics 16, no. 1 (2015): 338. -
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SInC simulator
An accurate & fast error-model based simulator for SNPs, Indel & CNVs
SInC is an accurate and fast error-model based simulator for SNPs, Indels and CNVs coupled with a read generator for short-read sequence data. BMC Bioinformatics 2014, 15:40 doi:10.1186/1471-2105-15-40 -
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...MGEScan-non-LTR is a software for the identification of non-LTR retrotransposons in genomic sequences, following a computational approach inspired by a generalized hidden Markov model (GHMM). References: 1. M. Rho et al., "De novo identification of LTR retrotransposons in eukaryotic genomes", BMC Genomics (2007) 8:90. 2. M. Rho and H. Tang, "MGEScan-non-LTR: computational identification and classification of autonomous non-LTR retrotransposons in eukaryotic genomes", Nucleic Acids Research (2009) 37:21.
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EXCAVATOR-tool
Tool for detecting CNVs from whole-exome sequencing data
ATTENTION!!!!!ATTENTION!!!!!ATTENTION!!!!!ATTENTION!!!!! We recently published on BMC Genomics a novel software package, named XCAVATOR, for the identification of CNVs/CNAs from short and long reads whole-genome sequencing experiments (https://bmcgenomics.biomedcentral.com/articles/10.1186/s12864-017-4137-0). XCAVATOR is freely available at http://sourceforge.net/projects/xcavator/. EXCAVATOR is a novel software package for the detection of copy number variants (CNVs) from whole-exome sequencing data. ... -
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GENIE (GEne-geNe IntEraction)
GPU based Parallel Gene-Gene Interaction Analysis
...Citation: Chikkagoudar, S., Wang, K., & Li, M. (2011). GENIE: a software package for gene-gene interaction analysis in genetic association studies using multiple GPU or CPU cores. BMC research notes, 4(1), 158. -
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RaTrav
mean first passage times and node occupancies calculations
...Two methods are made available for which their efficiency is strongly dependent on the topology of the defined network: the combinatorial Hill technique and the Monte Carlo simulation method. References: M. Torchala, P. Chelminiak, M. Kurzynski and P. A. Bates, 'RaTrav: a tool for calculating mean first-passage times on biochemical networks', BMC Syst. Biol. 7, 130 (2013). M. Torchala, P. Chelminiak and P. A. Bates, 'Mean first-passage time calculations: comparison of the deterministic Hill's algorithm with Monte Carlo simulations', Eur. Phys. J. B 85, 116 (2012). -
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ConoSorter
A Large-scale Cone Snail Transcriptome/Proteome Analysis Program
ConoSorter is a high-throughput standalone program that implements regular expressions and profile Hidden Markov Models (pHMMs) for large-scale identification and classification of precursor conopeptides into gene superfamilies and classes based on the ER signal, pro-, and mature conopeptide regions generated from raw next-generation transcriptomic or proteomic data. ConoSorter also generates a set of relevant additional information (frequency of protein sequences, length, number of... -
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ScreenSifter
ScreenSifter is a unique tool for RNAi Screen analysis and management
...ScreenSifter also provides Gene Set Enrichment Analysis (GSEA), protein-protein interaction directly on the plot. Publication: ScreenSifter: analysis and visualization of RNAi screening data Pankaj Kumar, Germaine Goh, Sarawut Wongphayak, Dimitri Moreau and Frédéric Bard BMC Bioinformatics. 2013 Oct 3;14(1):290. http://www.biomedcentral.com/1471-2105/14/290/abstract -
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AMBIENT
Find active modules in metabolic networks using high-throughput data
IMPORTANT: Since publication of the AMBIENT method in BMC Sys Bio, several updates have been made. If you wish to use the version used in the paper it is v0.6.3, however I recommend using the latest version which works in the same way but with additional options and has stability and performance improvements. Thanks for your interest! AMBIENT (Active Modules for Bipartite Networks) is a Python module that uses simulated annealing to find areas of a metabolic network (modules) that have some consistent characteristic. ... -
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...This is a library and a set of applications that can be used to analyze the results of deep sequencing results. (See Li et al.: ANDES: Statistical tools for the ANalyses of DEep Sequencing. BMC Research Notes 2010 3:199.)
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RIPCAL is a bioinformatics tool for the analysis of repeat-induced point mutation (RIP) of fungi. If you publish work using RIPCAL please cite: Hane & Oliver, BMC Bioinformatics 2008, 9:478
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An R package that performs forward-backward fragment assembling segmentation. Reference: BMC Bioinformatics. 2007 May 3;8:145.
