Search Results for "gene regulatory networks"
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Showing 59 open source projects for "gene regulatory networks"
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MutaNET
NGS Pipeline and Automated Mutation Analysis
MutaNET comes with a next generation sequencing (NGS) pipeline that calls mutations based on paired-end NGS reads, an automated mutation analysis tool and various file converters and mergers. The mutation analysis feature considers the coding region, protein domains, regulation and transcription factor binding site information, and can be used to analyse the potential impact of mutations on antibiotic resistance. -
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GENET-CNV
Integrated DNA copy number variation and gene expression analysis
The Boolean implication networks outperformed Bayesian networks, Pearson’s correlation networks, and other Boolean networks in constructing genome-scale co-expression networks evaluated with comprehensive biological pathways and Gene Ontology in MSigDB. References: Guo NL, Wan YW. Pathway-based identification of a smoking associated 6-gene signature predictive of lung cancer risk and survival. Artificial Intelligence in Medicine 2012 Jun;55(2):97-105. Ye Q, Singh S, Qian PR, Guo NL... -
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TSMiner is a software program for reconstructing time-specific regulatory networks for time-series expression data. TSMiner has three key modules: first, predicting the time-specific activated/repressed transcription factors (TFs); second, predicting the biological pathways associated with the predicted TFs; third, merging the TFs and pathways into time-specific regulatory networks. TSMiner provides extensive interactive operations to help users explore the results of each module. For example...
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gsasnp2
PubMed ID: 29562348 / DOI: 10.1093/nar/gky175
* GSA-SNP2 is a successor of GSA-SNP (Nam et al. 2010, NAR web server issue). GSA-SNP2 accepts human GWAS summary data (rs numbers, p-values) or gene-wise p-values and outputs pathway genesets ‘enriched’ with genes associated with the given phenotype. It also provides both local and global protein interaction networks in the associated pathways. * Article: SYoon, HCTNguyen, YJYoo, JKim, BBaik, SKim, JKim, SKim, DNam, "Efficient pathway enrichment and network analysis of GWAS summary data... -
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PPIXpress
specific protein interaction networks from transcript expression
Although protein-protein interaction networks are an ubiquitous component of modern systems biology, comparatively few efforts have been made to tailor their topology to the actual cellular condition under study. Since a simple reduction of the networks to the subset of expressed genes only scratches the surface of higher organisms’ regulatory capabilities, we propose the advanced method PPIXpress that allows to exploit expression data at the transcript-level and is thus able to also reveal... -
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RWRMTN
Predicting disease-associated miRNAs on a miRNA-target gene network
The misregulations of microRNA have been shown the contribution to diseases. Recently, we have proposed a computational method based on a random walk framework on a microRNA-target gene network to predict disease-associated microRNAs. This was shown superior when compared to existing state-of-the-art network- and machine learning-based methods since it well exploits mutual regulation between miRNAs and their target genes in microRNA-target gene networks. To facilitate the use of this method... -
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DACO-algorithm
A novel transcription factor complex prediction algorithm.
Eukaryotic gene expression is controlled through molecular logic circuits that combine regulatory signals of many different factors. Complexation of transcription factors and other regulatory proteins is a prevailing and highly conserved mechanism of signal integration within critical regulatory pathways and enable to infer controlled genes as well as the exerted regulatory mechanism. We developed DACO (domain-aware cohesiveness optimization), a novel algorithm that combines protein-protein... -
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OptFlux is an open-source and modular software aimed at being the reference computational application in the field. It is the first tool to incorporate strain optimization tasks, i.e., the identification of Metabolic Engineering targets.
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Grinn
graph database and R package for omic data integration
http://kwanjeeraw.github.io/grinn/ -
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We introduce a nonparametric Bayesian clustering method for inhomogeneous Poisson processes to detect heterogeneous binding patterns of multiple proteins including transcription factors. The estimated protein clusters form regulatory modules in different chromatin states, which help explain how proteins work together in regulating gene expression. We applied this approach on ChIP-seq data for mouse neural stem cells containing 21 proteins and observed different groups or modules of proteins...
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PD_BiochemicalSystemsTheory
A model of Parkinson’s disease using biochemical systems theory
Major pathways involving in Parkinson's disease (PD) such as alphasynuclein aggregation, dopamine synthesis, lewy body formation, tau phosphorylation, parkin, and apoptosis were modeled using stochastic differential equations. Pathways were modeled and simulated using the biochemical pathway visualization program CellDesigner, a modeling tool for gene-regulatory and biochemical networks that support graphical notation and listing of symbols. The model allows a qualitative analysis of PD... -
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EDCC-CNG
Exploration and categorization of CREs and CRMs
Cis-regulatory elements (CREs) and cis-regulatory modules (CRMs) play an important role in temporal and spatial regulation of gene expression, which is a common process in eukaryotic organisms. We developed two programs that serve as exploratory tools in the analysis of CRM-mediated control of gene expression: “Exploration of Distinctive CREs and CRMs” (EDCC) and “CRM Network Generator” (CNG). EDCC correlates the presence and positions of CREs/CRMs with gene expression data and identifies... -
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Arabidopsis Motif Scanner
Scanner of cis-regulatory elements in Arabidopsis genome
The major mechanism driving cellular differentiation and organism development is the regulation of gene expression. Cis-acting en-hancers and silencers appear to have key roles in regulating gene expression. Arabidopsis Motif Scanner was design to build gene networks by identifying the cis-regulatory elements position in the model plant Arabidopsis thaliana and by providing an easy interface to evaluate gene relations. -
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AccNET
AccNET: Accessory Genome Constellation Network.
AccNET is a Perl application that presents a new way to study the accessory genome of a given set of organisms. Using the proteomes of these organisms, AccNET create a bipartite network compatible with common network analysis platforms. AccNET collects phylogenetic and functional information in a network improving the analysis capability. Networks offer a new perspective of organism organization through elements acquired by horizontal gene transfers and not constricted by hierarchical... -
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... modularity and robustness is conserved in a large set of randomly structured networks. The app provides various visualization modes to better elucidate topological relations between modules, and tabular results of centrality and gene ontology enrichment analyses of modules.
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STON
Translator of SBGN PD and AF maps into Neo4j graph database.
STON, Sbgn TO Neo4j, is a Java-based framework that imports and translates metabolic, signalling and gene regulatory pathways presented in SBGN (Systems Biology Graphical Notation, http://www.sbgn.org) Process Description (PD) and Activity Flow (AF) languages to a graph-oriented format compatible with Neo4j (http://neo4j.com/). STON1.2 allows also to link common processes between two different PD maps. This framework uses two sets of libraries: LibSBGN and Neo4j libraries... -
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BaseNet
Bacterial sRNA analysis tool
Perform gene expression profiling and predict novel sRNAs and automatically correlate co-differentially expressed sRNA-mRNA pairs to enhance target prediction and construct sRNA-mediated regulatory network. -
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came
Identification of chromatin accessibility from NOMe-seq
Chromatin accessibility plays a key role in epigenetic regulation of gene activation and silencing. Open chromatin regions allow regulatory elements such as transcription factors and polymerases to bind for gene expression while closed chromatin regions prevent the activity of transcriptional machinery. Recently, nucleosome occupancy and methylome sequencing (NOMe-seq) has been developed for simultaneously profiling of chromatin accessibility and DNA methylation on single molecules. However... -
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GenNet
A Tool for Qualitative and Quantitative Modeling of Gene Regulatory Ne
A Tool for Qualitative and Quantitative Modeling of Gene Regulatory Networks. GenNet is a Java based tool called that facilitate the model checking user by providing a unique GUI layout for both qualitative and quantitative modeling of GRNs. GenNet also assists the modeling users by providing some extra features i.e. CTL editor, parameters filtering and input/output files management. Download pre-installed GenNet Virtual Box Image here https://www.dropbox.com/s/9ryvs1f22zc181y/GenNet-1.3.28... -
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CoGA
R package for differential co-expression analysis
CoGA (Co-expression Graph Analyzer) is an R package to identify differentially co-expressed gene sets between two phenotypes. The software infers gene regulatory networks from gene expression data, and compares structural properties of the inferred networks based on their spectrum distributions. It also compares the networks in terms of their gene centralities, clustering coefficients and shortest path lengths. In addition to the differential co-expression analyses, the tool provides graphical... -
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nagnag
Identifyng and Quantifying NAGNAG Alternative Splicing
The NAGNAG alternative splicing is a regulatory process that controls the mRNA splicing from one gene. NAGNAG alternative splicing has attracted intensive attentions for last decades because of its unique property: inclusion or exclusion of three nucleotides results in difference of one or two amino acids in the final proteins. -
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Workbench for visualizing biological networks (regulatory, interaction, and metabolic). Can be used as a front-end for BNDB datawarehouses, but also as stand-alone tool.
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miRStat
identification of common sets of microRNAs for groups of genes
miRStat enables identification of regulatory microRNA targeting several genes in a custom gene group. This Python application is based on the TargetScan 6.2 microRNA target prediction data. Conserved and Nonconserved site context+ scores files are required (unzip and place to directory with program). Available at http://targetscan.org/cgi-bin/targetscan/data_download.cgi?db=vert_61 -
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RIPE (Regulatory network Inference from joint Perturbation and Expression data) is a novel three-step method that integrates both perturbation data and steady state gene expression data in order to estimate a regulatory network. The ripe package is written in R, with additional functionality provided by a MATLAB executable file. The executable file uses a runtime engine called the MATLAB Compiler Runtime (MCR). The executable for different architectures is distributed on this site together...
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nail_systems_biology
NAIL is a toolset for network analysis in the life sciences
The NAIL (Network Analysis and Inference Library) project is a set of tools for solving problems in the life sciences using network (graph) approaches. NAIL includes methods for creating networks, analysing and comparing networks, and for visualising or presenting the results. These methods are designed as self-contained platform-independent components which can be called either from another program, or from a command line. Modelling biological systems as networks (graphs) is becoming...