KnowSeq

DOI: 10.18129/B9.bioc.KnowSeq    

A R package to extract knowledge by using RNA-seq raw files

Bioconductor version: Release (3.10)

KnowSeq proposes a whole pipeline that comprises the most relevant steps in the RNA-seq gene expression analysis, with the main goal of extracting biological knowledge from raw data (Differential Expressed Genes, Gene Ontology enrichment, pathway visualization and related diseases). In this sense, KnowSeq allows aligning raw data from the original fastq or sra files, by using the most renowned aligners such as tophat2, hisat2, salmon and kallisto. Nowadays, there is no package that only from the information of the samples to align -included in a text file-, automatically performs the download and alignment of all of the samples. Furthermore, the package includes functions to: calculate the gene expression values; remove batch effect; calculate the Differentially Expressed Genes (DEGs); plot different graphs; and perform the DEGs enrichment with the GO information, pathways visualization and related diseases information retrieval. Moreover, KnowSeq is the only package that allows applying both a machine learning and DEGs enrichment processes just after the DEGs extraction. This idea emerged with the aim of proposing a complete tool to the research community containing all the necessary steps to carry out complete studies in a simple and fast way.

Author: Daniel Castillo-Secilla, Juan Manuel Galvez, Francisco Manuel Ortuno, Luis Javier Herrera and Ignacio Rojas.

Maintainer: Daniel Castillo Secilla <cased at ugr.es>

Citation (from within R, enter citation("KnowSeq")):

Installation

To install this package, start R (version "3.6") and enter:

if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("KnowSeq")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("KnowSeq")

 

PDF R Script The KnowSeq users guide
PDF   Reference Manual
Text   NEWS

Details

biocViews Alignment, BatchEffect, Classification, DataImport, DifferentialExpression, FeatureExtraction, GO, GeneExpression, GeneSetEnrichment, Genetics, GraphAndNetwork, Metabolomics, Microarray, MultipleComparison, Normalization, Pathways, Preprocessing, Proteomics, QualityControl, RNASeq, Sequencing, Software, SystemsBiology, Transcriptomics
Version 1.0.0
In Bioconductor since BioC 3.10 (R-3.6) (< 6 months)
License GPL (>=2)
Depends R (>= 3.6.0), quantreg, mclust, topGO(>= 2.34.0)
Imports stringr, factoextra, kernlab, ggplot2, reshape2, gplots, caret, RCurl, XML, class, praznik, R.utils, e1071, randomForest, httr, jsonlite, sva(>= 3.30.1), cqn(>= 1.28.1), edgeR(>= 3.24.3), biomaRt(>= 2.38.0), limma(>= 3.38.3), arrayQualityMetrics(>= 3.38.0), tximport(>= 1.10.1), tximportData(>= 1.10.0), rhdf5(>= 2.26.2), Biobase, multtest, pathview(>= 1.22.3), grDevices, graphics, stats, utils
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Build Report  

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package KnowSeq_1.0.0.tar.gz
Windows Binary KnowSeq_1.0.0.zip
Mac OS X 10.11 (El Capitan) KnowSeq_1.0.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/KnowSeq
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/KnowSeq
Package Short Url https://bioconductor.org/packages/KnowSeq/
Package Downloads Report Download Stats

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