Evidence map›Paper›PMID 38907923›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2024

Short-Read RNA-Seq.

Rong Hu, Md N Islam, Rency S Varghese, Habtom W Ressom

Abstract read
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Gene Expression Analysis from Specific Root Cell Types.Methods in molecular biology (Clifton, N.J.) · 2027
    Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Rong HuGenomics & Epigenomics Shared Resource, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC, USA.
Md N IslamGenomics & Epigenomics Shared Resource, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC, USA.
Rency S VargheseGenomics & Epigenomics Shared Resource, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC, USA.
Habtom W RessomGenomics & Epigenomics Shared Resource, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC, USA. hwr@georgetown.edu.

Funding

Systems Metabolomics for Biomarker DiscoveryR35GM141944 · NIGMS · GEORGETOWN UNIVERSITY · PI RESSOM, HABTOM W · 2021 to 2025
$2.4M
NIGMS NIH HHS R35 GM141944
6 · The paper itself

Abstract

RNA sequencing (RNA-Seq) has emerged as a powerful and versatile tool for the comprehensive analysis of transcriptomes and has been widely used to investigate gene expression, copy number variation, alternative splicing, and novel transcript discovery. This chapter outlines the methodology for conducting short-read RNA-Seq, starting from RNA enrichment to library preparation and sequencing. Throughout the chapter, practical tips and best practices are provided to guide researchers in order to optimize each step of the RNA-Seq workflow. Multiple quality control steps throughout the workflow that are critical to obtain high-quality RNA-Seq data are also discussed.

Indexed as

RNA-SeqAlternative SplicingComputational BiologyGene Expression ProfilingGene LibraryHigh-Throughput Nucleotide SequencingHumansQuality ControlRNASequence Analysis, RNASoftwareTranscriptomeWorkflowRNALibrary preparationRNA-SeqShort-read sequencing

Identifiers

PMID38907923
PMCPMC12125952

What OpenQuestion holds

Textmetadata
LicenceTDM
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 OpenQuestion graph.