Showing 200 of total 270 results (show query)

bioc

Biobase:Biobase: Base functions for Bioconductor

Functions that are needed by many other packages or which replace R functions.

Maintained by Bioconductor Package Maintainer. Last updated 5 months ago.

infrastructurebioconductor-packagecore-package

9 stars 16.45 score 6.6k scripts 1.8k dependents

bioc

preprocessCore:A collection of pre-processing functions

A library of core preprocessing routines.

Maintained by Ben Bolstad. Last updated 5 months ago.

infrastructureopenblas

19 stars 12.03 score 1.8k scripts 204 dependents

bioc

bumphunter:Bump Hunter

Tools for finding bumps in genomic data

Maintained by Tamilselvi Guharaj. Last updated 5 months ago.

dnamethylationepigeneticsinfrastructuremultiplecomparisonimmunooncology

16 stars 11.61 score 210 scripts 43 dependents

bioc

systemPipeR:systemPipeR: Workflow Environment for Data Analysis and Report Generation

systemPipeR is a multipurpose data analysis workflow environment that unifies R with command-line tools. It enables scientists to analyze many types of large- or small-scale data on local or distributed computer systems with a high level of reproducibility, scalability and portability. At its core is a command-line interface (CLI) that adopts the Common Workflow Language (CWL). This design allows users to choose for each analysis step the optimal R or command-line software. It supports both end-to-end and partial execution of workflows with built-in restart functionalities. Efficient management of complex analysis tasks is accomplished by a flexible workflow control container class. Handling of large numbers of input samples and experimental designs is facilitated by consistent sample annotation mechanisms. As a multi-purpose workflow toolkit, systemPipeR enables users to run existing workflows, customize them or design entirely new ones while taking advantage of widely adopted data structures within the Bioconductor ecosystem. Another important core functionality is the generation of reproducible scientific analysis and technical reports. For result interpretation, systemPipeR offers a wide range of plotting functionality, while an associated Shiny App offers many useful functionalities for interactive result exploration. The vignettes linked from this page include (1) a general introduction, (2) a description of technical details, and (3) a collection of workflow templates.

Maintained by Thomas Girke. Last updated 5 months ago.

geneticsinfrastructuredataimportsequencingrnaseqriboseqchipseqmethylseqsnpgeneexpressioncoveragegenesetenrichmentalignmentqualitycontrolimmunooncologyreportwritingworkflowstepworkflowmanagement

53 stars 11.52 score 344 scripts 3 dependents

bioc

Rhdf5lib:hdf5 library as an R package

Provides C and C++ hdf5 libraries.

Maintained by Mike Smith. Last updated 5 days ago.

infrastructurebioconductorhdf5hdf5-libraryfortranzlib

6 stars 11.22 score 26 scripts 341 dependents

mrc-ide

rrq:Simple Redis Queue

Simple Redis queue in R.

Maintained by Rich FitzJohn. Last updated 4 months ago.

clusterinfrastructure

24 stars 7.31 score 14 scripts 3 dependents

bioc

BiocVersion:Set the appropriate version of Bioconductor packages

This package provides repository information for the appropriate version of Bioconductor.

Maintained by Bioconductor Package Maintainer. Last updated 5 months ago.

infrastructure

7.11 score 19 scripts 105 dependents

bioc

systemPipeShiny:systemPipeShiny: An Interactive Framework for Workflow Management and Visualization

systemPipeShiny (SPS) extends the widely used systemPipeR (SPR) workflow environment with a versatile graphical user interface provided by a Shiny App. This allows non-R users, such as experimentalists, to run many systemPipeR’s workflow designs, control, and visualization functionalities interactively without requiring knowledge of R. Most importantly, SPS has been designed as a general purpose framework for interacting with other R packages in an intuitive manner. Like most Shiny Apps, SPS can be used on both local computers as well as centralized server-based deployments that can be accessed remotely as a public web service for using SPR’s functionalities with community and/or private data. The framework can integrate many core packages from the R/Bioconductor ecosystem. Examples of SPS’ current functionalities include: (a) interactive creation of experimental designs and metadata using an easy to use tabular editor or file uploader; (b) visualization of workflow topologies combined with auto-generation of R Markdown preview for interactively designed workflows; (d) access to a wide range of data processing routines; (e) and an extendable set of visualization functionalities. Complex visual results can be managed on a 'Canvas Workbench’ allowing users to organize and to compare plots in an efficient manner combined with a session snapshot feature to continue work at a later time. The present suite of pre-configured visualization examples. The modular design of SPR makes it easy to design custom functions without any knowledge of Shiny, as well as extending the environment in the future with contributions from the community.

Maintained by Le Zhang. Last updated 5 months ago.

shinyappsinfrastructuredataimportsequencingqualitycontrolreportwritingexperimentaldesignclusteringbioconductorbioconductor-packagedata-visualizationshinysystempiper

34 stars 7.04 score 36 scripts

mrc-ide

context:Contexts for evaluating R expressions

Contexts for evaluating R expressions.

Maintained by Rich FitzJohn. Last updated 2 years ago.

clusterinfrastructure

5 stars 6.59 score 1.7k scripts 1 dependents

bioc

convert:Convert Microarray Data Objects

Define coerce methods for microarray data objects.

Maintained by Yee Hwa (Jean) Yang. Last updated 5 months ago.

infrastructuremicroarraytwochannel

5.58 score 91 scripts 1 dependents

bioc

widgetTools:Creates an interactive tcltk widget

This packages contains tools to support the construction of tcltk widgets

Maintained by Jianhua Zhang. Last updated 5 months ago.

infrastructure

5.04 score 11 scripts 8 dependents

bioc

RSeqAn:R SeqAn

Headers and some wrapper functions from the SeqAn C++ library for ease of usage in R.

Maintained by August Guang. Last updated 5 months ago.

infrastructuresoftwarecpp

3 stars 4.95 score 2 scripts 1 dependents