BP4RNAseq: a babysitter package for retrospective and newly generated RNA-seq data analyses using both alignment-based and alignment-free quantification …

S Sun, L Xu, Q Zou, G Wang - Bioinformatics, 2021 - academic.oup.com
Processing raw reads of RNA-sequencing (RNA-seq) data, no matter public or newly
sequenced data, involves a lot of specialized tools and technical configurations that are …

[HTML][HTML] RASflow: an RNA-Seq analysis workflow with Snakemake

X Zhang, I Jonassen - BMC bioinformatics, 2020 - Springer
Background With the cost of DNA sequencing decreasing, increasing amounts of RNA-Seq
data are being generated giving novel insight into gene expression and regulation. Prior to …

RNAontheBENCH: computational and empirical resources for benchmarking RNAseq quantification and differential expression methods

PL Germain, A Vitriolo, A Adamo, P Laise… - Nucleic acids …, 2016 - academic.oup.com
RNA sequencing (RNAseq) has become the method of choice for transcriptome analysis, yet
no consensus exists as to the most appropriate pipeline for its analysis, with current …

[PDF][PDF] RNAsik: A Pipeline for complete and reproducible RNA-seq analysis that runs anywhere with speed and ease

K Tsyganov, A James Perry, S Kenneth Archer… - Journal of Open Source …, 2018 - theoj.org
RNA sequencing (RNA-seq) is one of many applications of high throughput sequencing, in
which millions of short sequence reads, typically around 100 bases long, are produced from …

[HTML][HTML] OneStopRNAseq: a web application for comprehensive and efficient analyses of RNA-Seq data

R Li, K Hu, H Liu, MR Green, LJ Zhu - Genes, 2020 - mdpi.com
Over the past decade, a large amount of RNA sequencing (RNA-seq) data were deposited
in public repositories, and more are being produced at an unprecedented rate. However …

RNA-Skim: a rapid method for RNA-Seq quantification at transcript level

Z Zhang, W Wang - Bioinformatics, 2014 - academic.oup.com
Motivation: RNA-Seq technique has been demonstrated as a revolutionary means for
exploring transcriptome because it provides deep coverage and base pair-level resolution …

[HTML][HTML] RNA-Seq workflow: gene-level exploratory analysis and differential expression

MI Love, S Anders, V Kim, W Huber - F1000Research, 2015 - ncbi.nlm.nih.gov
Here we walk through an end-to-end gene-level RNA-Seq differential expression workflow
using Bioconductor packages. We will start from the FASTQ files, show how these were …

[HTML][HTML] Limitations of alignment-free tools in total RNA-seq quantification

DC Wu, J Yao, KS Ho, AM Lambowitz, CO Wilke - BMC genomics, 2018 - Springer
Background Alignment-free RNA quantification tools have significantly increased the speed
of RNA-seq analysis. However, it is unclear whether these state-of-the-art RNA-seq analysis …

RobiNA: a user-friendly, integrated software solution for RNA-Seq-based transcriptomics

M Lohse, AM Bolger, A Nagel, AR Fernie… - Nucleic acids …, 2012 - academic.oup.com
Recent rapid advances in next generation RNA sequencing (RNA-Seq)-based provide
researchers with unprecedentedly large data sets and open new perspectives in …

The hitchhikers' guide to RNA sequencing and functional analysis

JW Chen, L Shrestha, G Green, A Leier… - Briefings in …, 2023 - academic.oup.com
DNA and RNA sequencing technologies have revolutionized biology and biomedical
sciences, sequencing full genomes and transcriptomes at very high speeds and reasonably …