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lineagespot

This is the released version of lineagespot; for the devel version, see lineagespot.

Detection of SARS-CoV-2 lineages in wastewater samples using next-generation sequencing


Bioconductor version: Release (3.23)

Lineagespot is a framework written in R, and aims to identify SARS-CoV-2 related mutations based on a single (or a list) of variant(s) file(s) (i.e., variant calling format). The method can facilitate the detection of SARS-CoV-2 lineages in wastewater samples using next generation sequencing, and attempts to infer the potential distribution of the SARS-CoV-2 lineages.

Author: Nikolaos Pechlivanis [aut, cre] ORCID iD ORCID: 0000-0003-2502-612X , Maria Tsagiopoulou [aut], Maria Christina Maniou [aut], Anastasis Togkousidis [aut], Evangelia Mouchtaropoulou [aut], Taxiarchis Chassalevris [aut], Serafeim Chaintoutis [aut], Chrysostomos Dovas [aut], Maria Petala [aut], Margaritis Kostoglou [aut], Thodoris Karapantsios [aut], Stamatia Laidou [aut], Elisavet Vlachonikola [aut], Aspasia Orfanou [aut], Styliani-Christina Fragkouli [aut], Sofoklis Keisaris [aut], Anastasia Chatzidimitriou [aut], Agis Papadopoulos [aut], Nikolaos Papaioannou [aut], Anagnostis Argiriou [aut], Fotis E. Psomopoulos [aut]

Maintainer: Nikolaos Pechlivanis <inab.bioinformatics at lists.certh.gr>

Citation (from within R, enter citation("lineagespot")):
Seminal Bioconductor project articles:

Huber W, Carey VJ, Gentleman R, Anders S, Carlson M, Carvalho BS, Bravo HC, Davis S, Gatto L, Girke T, Gottardo R, Hahne F, Hansen KD, Irizarry RA, Lawrence M, Love MI, MacDonald J, Obenchain V, Oleś AK, Pagès H, Reyes A, Shannon P, Smyth GK, Tenenbaum D, Waldron L, Morgan M (2015). "Orchestrating high-throughput genomic analysis with Bioconductor." Nature Methods, 12(2), 115–121. doi:10.1038/nmeth.3252.

Gentleman RC, Carey VJ, Bates DM, Bolstad B, Dettling M, Dudoit S, Ellis B, Gautier L, Ge Y, Gentry J, Hornik K, Hothorn T, Huber W, Iacus S, Irizarry R, Leisch F, Li C, Maechler M, Rossini AJ, Sawitzki G, Smith C, Smyth G, Tierney L, Yang JYH, Zhang J (2004). "Bioconductor: open software development for computational biology and bioinformatics." Genome Biology, 5(10), R80. doi:10.1186/gb-2004-5-10-r80.

Installation

To install this package, start R (version "4.6") and enter:


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

BiocManager::install("lineagespot")

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("lineagespot")
lineagespot User Guide HTML R Script
Reference Manual PDF
NEWS Text
LICENSE Text

Details

biocViews Sequencing, Software, VariantAnnotation, VariantDetection
Version 1.16.0
In Bioconductor since BioC 3.15 (R-4.2) (4.5 years)
License MIT + file LICENSE
Depends
Imports VariantAnnotation, MatrixGenerics, SummarizedExperiment, data.table, stringr, httr, utils
System Requirements
URL https://github.com/BiodataAnalysisGroup/lineagespot
Bug Reports https://github.com/BiodataAnalysisGroup/lineagespot/issues
See More
Suggests BiocStyle, RefManageR, rmarkdown, knitr, testthat (>= 3.0.0)
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report Build Report

Package Archives

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

Source Package lineagespot_1.16.0.tar.gz
Windows Binary (x86_64) lineagespot_1.16.0.zip
macOS Binary (big-sur-x86_64) lineagespot_1.16.0.tgz
macOS Binary (sonoma-arm64) lineagespot_1.16.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/lineagespot
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/lineagespot
Bioc Package Browser https://code.bioconductor.org/browse/lineagespot/
Package Short Url https://bioconductor.org/packages/lineagespot/
Package Downloads Report Download Stats