Search Results for "gene"
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70 projects for "gene" with 1 filter applied:
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MCScanX
MCScanX: Multiple Collinearity Scan toolkit X version
MCScanX is a toolkit for detecting gene synteny and collinearity, aiding in the evolutionary analysis of gene arrangements across multiple genomes. It extends the original MCScan algorithm by incorporating additional utilities for visualization and downstream analyses. -
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clusterProfiler
A universal enrichment tool for interpreting omics data
clusterProfiler is an R/Bioconductor package that provides a unified workflow for functional enrichment analysis to interpret high-throughput omics results. It supports both over-representation analysis and gene set enrichment analysis, letting you work with unranked gene lists or ranked statistics from differential pipelines. The package connects to multiple knowledge bases—such as Gene Ontology, KEGG, Reactome, Disease Ontology, MeSH and others—through a consistent interface so you can query different biological lenses without rewriting code. ... -
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Manatee is a web-based gene evaluation and genome annotation tool. Manatee can store and view annotation for prokaryotic and eukaryotic genomes.
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EvidentialGene
Evidence Directed Gene Construction for Eukaryotes
EvidentialGene is a genome informatics project, "Evidence Directed Gene Construction for Eukaryotes", to construct high quality, accurate gene sets for animals and plants, developed by Don Gilbert at Indiana University, see http://arthropods.eugenes.org/EvidentialGene/ Construction refers to the combination of classical gene prediction, and more recent gene assembly (de-novo and genome-assisted) methods. -
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CodonU
A python project for analysis of codon usage for gene or genome analys
With CodonU, you can now easily read, manipulate, and analyze various file formats used in this kind of analysis, and generate high-quality graphics suitable for publishing. This open-source project incorporates various statistical measures necessary for codon usage analysis, including codon adaptation index, codon bias index, Gravy score, and correspondence analysis for both nucleotide and protein sequences. Start using CodonU today and see how it can revolutionize your genomics... -
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BD-Func
Bidirectional Functional Enrichment of Gene Expression Data
BD-Func is an algorithm to predict activation or inhibition of pathways based upon gene expression patterns. If you use BD-Func, please cite: Warden C, Kanaya N, Chen S, and Yuan Y-C. (2013) BD-Func: A Streamlined Algorithm for Predicting Activation and Inhibition of Pathways. peerJ, 1:e159 -
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COHCAP
City of Hope CpG Island Analysis Pipeline
COHCAP (City of Hope CpG Island Analysis Pipeline, pronounced "co-cap") is an algorithm to analyze single-nucleotide resolution methylation data (Illumina 450k methylation array, targeted BS-Seq, etc.). Please note: 1) The SourceForge version of COHCAP is no longer being updated. Please see the GitHub version: https://github.com/cwarden45/COHCAP This was the source repository for the Bioconductor version, with some changes after the decision to only provide the code through... -
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Open|SpeedShop
Open|SpeedShop is an open source multi platform Linux performance tool
Open|SpeedShop is an open source multi platform Linux performance tool which is targeted to support performance analysis of applications running on both single node and large scale IA64, IA32, EM64T, AMD64, PPC, Blue Gene, ARM and Cray platforms. -
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The source code has been migrated and is now hosted on Github: https://github.com/jenetics/jenetics Jenetics is an advanced Genetic Algorithm, Evolutionary Algorithm and Genetic Programming library, respectively, written in modern day Java. It is designed with a clear separation of the several algorithm concepts, e. g. Gene, Chromosome, Genotype, Phenotype, Population and fitness Function. Jenetics allows you to minimize or maximize the given fitness function without tweaking it. In contrast to other GA implementations, the library uses the concept of an evolution stream (EvolutionStream) for executing the evolution steps. Since the EvolutionStream implements the Java Stream interface, it works smoothly with the rest of the Java Stream API. ...
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Taxoblast
Taxoblast is a pipeline to identify contamination in genomic sequence
Raw genomic sequences are frequently contaminated with sequences of other organism. Their identification is essential for the interpretation of genomic data. In this context it is essential to distinguish between horizontal gene transfers and contamination. The genomic context of sequences can help distinguish the two scenarios. Taxoblast splits genomic scaffolds into sub-sequences of defined length and for each of them determines the closest related taxon. It then summarizes this information for the entire scaffold, taking into account the taxonomic ontology. ... -
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Gene-Environment iNteraction Simulator 2
A tool able to simulate gene-environment and gene-gene interactions.
...The GENS2 tool is able to simulate gene-environment and gene-gene interactions. To make the Simulator more intuitive, the input parameters are expressed as standard epidemiological quantities. GENS2 is written in Python language and takes advantage of operators and modules provided by the simuPOP simulation environment. It can be used through a graphical or a command-line interface. -
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LiveGMS is a PHP/MySQL driven gene editor for the game Creatures 3 / Docking Station. It provides a platform independent online editor with most features other binary genetics editors have.
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Mauve computes and interactively visualizes genome sequence comparisons. Using FastA or GenBank sequence data, Mauve constructs multiple genome alignments that identify large-scale rearrangement, gene gain, gene loss, indels, and nucleotide substutit
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Ericscript is a computational framework to detect gene fusions from paired end RNA-seq data with high sensitity and specificity.
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Grinder is a versatile open-source bioinformatic tool to create simulated omic shotgun and amplicon sequence libraries for all main sequencing platforms.
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Analyze My Genes
Compare gene analysis results from 23andme with the human genome
This program compares personal gene analysis results from 23andme with extracted databases from the human genome project. An typical example of an extracted database is a dataset which contains all alternative alleles which occur less than 1% of the time. -
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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. ... -
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Gene Studio is a free tool for modelling of DNA manipulation. It will allow to work with vectors, to design primers, to clone molecules and provide user friendly intewrface.
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Maximum Common Genome Alignment (MCGA)
Pipeline for creating core genome alignments for phylogenetic analysis
Maximum Common Genome Alignment (MCGA) Tool MCGA is a bioinformatics analysis tool written in Python for generating core genome alignment for bacterial whole genome sequences which can be used to construct phylogenetic trees. -
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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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Deem
Analyze time-course data with significance tests, clustering, modeling
Use statistical methods to analyze time-course data (gene expression microarray and RNA-seq data in particular, but not limited to). Apply significance tests to filter out only significant genes or time series. Cluster time series into similar groups. Generate network models, including linear or non-linear models. Variable selection and optimization routines included. Written in Scala and R. -
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[DEPRECATED] Gene Ontology
The DEPRECATED legacy location of the GO, see http://geneontology.org
The DEPRECATED legacy of the Gene Ontology project on SourceForge. Please see http://geneontology.org for current software and downloads. -
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The BioNLP UIMA Component Repository provides UIMA wrappers for novel and well-known 3rd-party NLP tools used in biomedical text prosessing, such as tokenizers, parsers, named entity taggers, and tools for evaluation.
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VariabilityAnalysisInNetworks
An R package for identifying biologically perturbed networks
The VAN package enables an integrative analysis of (i) gene expression data with protein-protein interaction networks or (ii) gene and microRNA expression data with microRNA-gene interaction networks to identify biologically perturbed networks. -
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rTRM
Identification of transcriptional regulatory modules (TRMs)
This R package can be used to identify TRMs using experimental evidence from a single ChIP-seq experiment. It combines computational predicted transcription factor (TF) binding sites, gene expression and protein-protein interaction (PPI) data and use it to predict TRMs.