Evidence map›Paper›PMID 39763815›Full record

ArticlebioRxiv : the preprint server for biology2024

RNA-SeqEZPZ: A Point-and-Click Pipeline for Comprehensive Transcriptomics Analysis with Interactive Visualizations.

Cenny Taslim, Yuan Zhang, Genevieve C Kendall, Emily R Theisen

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Cenny Taslim
Yuan Zhang
Genevieve C KendallORCID 0000-0003-3775-2006

Funding

Understanding Infantile Rhabdomyosarcoma Biology and Therapeutic TargetsR01CA272872 · NCI · RESEARCH INST NATIONWIDE CHILDREN'S HOSP · PI Genevieve Claire Kendall · 2022 to 2026
$2.1M
NCI NIH HHS R01 CA272872
6 · The paper itself

Abstract

RNA-Seq analysis has become a routine task in numerous genomic research labs, driven by the reduced cost of bulk RNA sequencing experiments. These generate billions of reads that require accurate, efficient, effective, and reproducible analysis. But the time required for comprehensive analysis remains a bottleneck. Many labs rely on in-house scripts, making standardization and reproducibility challenging. To address this, we developed RNA-SeqEZPZ, an automated pipeline with a user-friendly point-and-click interface, enabling rigorous and reproducible RNA-Seq analysis without requiring programming or bioinformatics expertise. For advanced users, the pipeline can also be executed from the command line, allowing customization of steps to suit specific requirements. This pipeline includes multiple steps from quality control, alignment, filtering, read counting to differential expression and pathway analysis. We offer two different implementations of the pipeline using either (1) bash and SLURM or (2) Nextflow. The two implementation options allow for straightforward installation, making it easy for individuals familiar with either language to modify and/or run the pipeline across various computing environments. RNA-SeqEZPZ provides an interactive visualization tool using R shiny to easily select the FASTQ files for analysis and compare differentially expressed genes and their functions across experimental conditions. The tools required by the pipeline are packaged into a Singularity image for ease of installation and to ensure replicability. Finally, the pipeline performs a thorough statistical analysis and provides an option to perform batch adjustment to minimize effects of noise due to technical variations across replicates. RNA-SeqEZPZ is freely available and can be downloaded from https://github.com/cxtaslim/RNA-SeqEZPZ .

Identifiers

PMID39763815
PMCPMC11703207

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.