Evidence map›Paper›PMID 26609224›Full record

ReviewBioinformatics and biology insights2015

Advanced Applications of RNA Sequencing and Challenges.

Yixing Han, Shouguo Gao, Kathrin Muegge, Wei Zhang, Bing Zhou

Abstract readReview
In one paragraph

Review in Bioinformatics and biology insights, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 143 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
143citing papers in PubMed, 1 pooled it
–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

143 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  8. Methods for Investigating the Sperm Epigenome.Advances in experimental medicine and biology · 2026
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83 more citing papers are in PubMed but not listed here.

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

5 authors.

Yixing HanMouse Cancer Genetics Program, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Frederick, MD, USA.
Shouguo GaoBioinformatics and Systems Biology Core, National Heart Lung Blood Institute, National Institutes of Health, Rockville Pike, Bethesda, MD, USA.
Kathrin MueggeMouse Cancer Genetics Program, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Frederick, MD, USA. ; Leidos Biomedical Research, Inc., Basic Science Program, Frederick National Laboratory, Frederick, MD, USA.
Wei ZhangDepartment of Medicine, University of California, San Diego, La Jolla, CA, USA.
Bing ZhouDepartment of Cellular and Molecular Medicine, University of California, San Diego, La Jolla, CA, USA.

Funding

Epigenetic control during embryogenesisZIABC010014 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI MUEGGE, KATHRIN · 2009 to 2025
$18.1M
Functional RNA elements in the human genomeR01HG004659 · NHGRI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Kevin Daniel Corbett, Eugene Wei-Ming Yeo · 2008 to 2026
$12.4M
A Systems Approach to Mapping the DNA Damage ResponseR01ES014811 · NIEHS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI IDEKER, TREY · 2005 to 2021
$8.6M
FUNCTION &REGULATION OF THE HUMAN SPLICING FACTOR SC35R01GM049369 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI FU, XIANG-DONG · 1993 to 2018
$7.2M
Regulation of RNA metabolism and cell growth control by SR protein kinasesR01GM052872 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DOWDY, STEVEN F · 1996 to 2019
$5.4M
Systems Biology CoreZIAHL006192 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI WANG, XUJING · 2014 to 2016
$4.6M
NHGRI NIH HHS R01 HG004659NIEHS NIH HHS R01 ES014811NIGMS NIH HHS R01 GM049369NIGMS NIH HHS R01 GM052872
6 · The paper itself

Abstract

Next-generation sequencing technologies have revolutionarily advanced sequence-based research with the advantages of high-throughput, high-sensitivity, and high-speed. RNA-seq is now being used widely for uncovering multiple facets of transcriptome to facilitate the biological applications. However, the large-scale data analyses associated with RNA-seq harbors challenges. In this study, we present a detailed overview of the applications of this technology and the challenges that need to be addressed, including data preprocessing, differential gene expression analysis, alternative splicing analysis, variants detection and allele-specific expression, pathway analysis, co-expression network analysis, and applications combining various experimental procedures beyond the achievements that have been made. Specifically, we discuss essential principles of computational methods that are required to meet the key challenges of the RNA-seq data analyses, development of various bioinformatics tools, challenges associated with the RNA-seq applications, and examples that represent the advances made so far in the characterization of the transcriptome.

Indexed as

alternative splicingco-expression networkdata preprocessingdifferential gene expressionpathway analysisRNA-seqsystems biologyvariants detection

Identifiers

PMID26609224
PMCPMC4648566

What OpenQuestion 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 OpenQuestion graph.