Showing 10 of total 10 results (show query)
bioc
MicrobiotaProcess:A comprehensive R package for managing and analyzing microbiome and other ecological data within the tidy framework
MicrobiotaProcess is an R package for analysis, visualization and biomarker discovery of microbial datasets. It introduces MPSE class, this make it more interoperable with the existing computing ecosystem. Moreover, it introduces a tidy microbiome data structure paradigm and analysis grammar. It provides a wide variety of microbiome data analysis procedures under the unified and common framework (tidy-like framework).
Maintained by Shuangbin Xu. Last updated 5 months ago.
visualizationmicrobiomesoftwaremultiplecomparisonfeatureextractionmicrobiome-analysismicrobiome-data
186 stars 9.70 score 126 scripts 1 dependentsgrunwaldlab
metacoder:Tools for Parsing, Manipulating, and Graphing Taxonomic Abundance Data
Reads, plots, and manipulates large taxonomic data sets, like those generated from modern high-throughput sequencing, such as metabarcoding (i.e. amplification metagenomics, 16S metagenomics, etc). It provides a tree-based visualization called "heat trees" used to depict statistics for every taxon in a taxonomy using color and size. It also provides various functions to do common tasks in microbiome bioinformatics on data in the 'taxmap' format defined by the 'taxa' package. The 'metacoder' package is described in the publication by Foster et al. (2017) <doi:10.1371/journal.pcbi.1005404>.
Maintained by Zachary Foster. Last updated 2 months ago.
community-diversityhierarchicalmetabarcodingpcrtaxonomytreescpp
140 stars 9.64 score 328 scriptscmmr
rbiom:Read/Write, Analyze, and Visualize 'BIOM' Data
A toolkit for working with Biological Observation Matrix ('BIOM') files. Read/write all 'BIOM' formats. Compute rarefaction, alpha diversity, and beta diversity (including 'UniFrac'). Summarize counts by taxonomic level. Subset based on metadata. Generate visualizations and statistical analyses. CPU intensive operations are coded in C for speed.
Maintained by Daniel P. Smith. Last updated 12 days ago.
15 stars 9.07 score 117 scripts 6 dependentsropensci
taxa:Classes for Storing and Manipulating Taxonomic Data
Provides classes for storing and manipulating taxonomic data. Most of the classes can be treated like base R vectors (e.g. can be used in tables as columns and can be named). Vectorized classes can store taxon names and authorities, taxon IDs from databases, taxon ranks, and other types of information. More complex classes are provided to store taxonomic trees and user-defined data associated with them.
Maintained by Zachary Foster. Last updated 1 years ago.
taxonomybiologyhierarchydata-cleaningtaxon
47 stars 6.79 score 217 scriptsbioc
ViSEAGO:ViSEAGO: a Bioconductor package for clustering biological functions using Gene Ontology and semantic similarity
The main objective of ViSEAGO package is to carry out a data mining of biological functions and establish links between genes involved in the study. We developed ViSEAGO in R to facilitate functional Gene Ontology (GO) analysis of complex experimental design with multiple comparisons of interest. It allows to study large-scale datasets together and visualize GO profiles to capture biological knowledge. The acronym stands for three major concepts of the analysis: Visualization, Semantic similarity and Enrichment Analysis of Gene Ontology. It provides access to the last current GO annotations, which are retrieved from one of NCBI EntrezGene, Ensembl or Uniprot databases for several species. Using available R packages and novel developments, ViSEAGO extends classical functional GO analysis to focus on functional coherence by aggregating closely related biological themes while studying multiple datasets at once. It provides both a synthetic and detailed view using interactive functionalities respecting the GO graph structure and ensuring functional coherence supplied by semantic similarity. ViSEAGO has been successfully applied on several datasets from different species with a variety of biological questions. Results can be easily shared between bioinformaticians and biologists, enhancing reporting capabilities while maintaining reproducibility.
Maintained by Aurelien Brionne. Last updated 3 months ago.
softwareannotationgogenesetenrichmentmultiplecomparisonclusteringvisualization
6.64 score 22 scriptsshaunpwilkinson
insect:Informatic Sequence Classification Trees
Provides tools for probabilistic taxon assignment with informatic sequence classification trees. See Wilkinson et al (2018) <doi:10.7287/peerj.preprints.26812v1>.
Maintained by Shaun Wilkinson. Last updated 4 years ago.
14 stars 5.80 score 91 scriptsbjoelle
FossilSim:Simulation and Plots for Fossil and Taxonomy Data
Simulating and plotting taxonomy and fossil data on phylogenetic trees under mechanistic models of speciation, preservation and sampling.
Maintained by Joelle Barido-Sottani. Last updated 6 months ago.
1 stars 5.24 score 65 scripts 1 dependentsemilhvitfeldt
walmartAPI:Walmart Open API Wrapper
Provides API access to the Walmart Open API <https://developer.walmartlabs.com/>, that contains data about stores, Value of the day and products which includes names, sale prices, shipping rates and taxonomies.
Maintained by Emil Hvitfeldt. Last updated 5 years ago.
19 stars 4.39 score 13 scriptscran
arakno:ARAchnid KNowledge Online
Allows the user to connect with the World Spider Catalogue (WSC; <https://wsc.nmbe.ch/>) and the World Spider Trait (WST; <https://spidertraits.sci.muni.cz/>) databases. Also performs several basic functions such as checking names validity, retrieving coordinate data from the Global Biodiversity Information Facility (GBIF; <https://www.gbif.org/>), and mapping.
Maintained by Pedro Cardoso. Last updated 3 years ago.
1.00 scorecran
spidR:Spider Knowledge Online
Allows the user to connect with the World Spider Catalogue (WSC; <https://wsc.nmbe.ch/>) and the World Spider Trait (WST; <https://spidertraits.sci.muni.cz/>) databases. Also performs several basic functions such as checking names validity, retrieving coordinate data from the Global Biodiversity Information Facility (GBIF; <https://www.gbif.org/>), and mapping.
Maintained by Pedro Cardoso. Last updated 3 years ago.
1.00 score