Evidence map›Paper›PMID 36999049›Full record

ReviewFrontiers in genetics2023

RNA-seq data science: From raw data to effective interpretation.

Dhrithi Deshpande, Karishma Chhugani, Yutong Chang, Aaron Karlsberg, Caitlin Loeffler, Jinyang Zhang, Agata Muszyńska, Viorel Munteanu, Harry Yang, Jeremy Rotman and 8 more

Full text readReview
In one paragraph

Review in Frontiers in genetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers.

0numbers the graph read from it
0cells of the map it votes in
68citing 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

68 citing papers in PubMed.

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  11. Advances in Spatial Transcriptomics in Bone.Current osteoporosis reports · 2026
    Review
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8 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

18 authors.

Dhrithi DeshpandeDepartment of Pharmacology and Pharmaceutical Sciences, USC Alfred E. Mann School of Pharmacy and Pharmaceutical Sciences, Los Angeles, CA, United States.
Karishma ChhuganiDepartment of Pharmacology and Pharmaceutical Sciences, USC Alfred E. Mann School of Pharmacy and Pharmaceutical Sciences, Los Angeles, CA, United States.
Yutong ChangDepartment of Pharmacology and Pharmaceutical Sciences, USC Alfred E. Mann School of Pharmacy and Pharmaceutical Sciences, Los Angeles, CA, United States.
Aaron KarlsbergDepartment of Clinical Pharmacy, USC Alfred E. Mann School of Pharmacy and Pharmaceutical Sciences, Los Angeles, CA, United States.
Caitlin LoefflerDepartment of Computer Science, University of California, Los Angeles, CA, United States.
Jinyang ZhangBeijing Institutes of Life Science, Chinese Academy of Sciences, Beijing, China.
Agata MuszyńskaMałopolska Centre of Biotechnology, Jagiellonian University, Krakow, Poland.
Viorel MunteanuDepartment of Computers, Informatics and Microelectronics, Technical University of Moldova, Chisinau, Moldova.
Harry YangDepartment of Microbiology, Immunology and Molecular Genetics, University of California Los Angeles, Los Angeles, CA, United States.
Jeremy RotmanDepartment of Clinical Pharmacy, USC Alfred E. Mann School of Pharmacy and Pharmaceutical Sciences, Los Angeles, CA, United States.
Laura TaoDepartment of Computational Medicine, David Geffen School of Medicine at UCLA, CHS, Los Angeles, CA, United States.
Brunilda BalliuDepartment of Computational Medicine, David Geffen School of Medicine at UCLA, CHS, Los Angeles, CA, United States.
Elizabeth TsengPacific Biosciences, Menlo Park, CA, United States.
Eleazar EskinDepartment of Computer Science, University of California, Los Angeles, CA, United States.
Fangqing ZhaoBeijing Institutes of Life Science, Chinese Academy of Sciences, Beijing, China.
Pejman MohammadiDepartment of Integrative Structural and Computational Biology, The Scripps Research Institute, La Jolla, CA, United States.
Paweł P ŁabajMałopolska Centre of Biotechnology, Jagiellonian University, Krakow, Poland.
Serghei MangulDepartment of Clinical Pharmacy, USC Alfred E. Mann School of Pharmacy and Pharmaceutical Sciences, Los Angeles, CA, United States.

Funding

Haplotype-aware models of gene and isoform expression with application to genetic studies of disease in diverse populationsR01GM140287 · NIGMS · SEATTLE CHILDREN'S HOSPITAL · PI GAMAZON, ERIC R, MOHAMMADI, PEJMAN · 2021 to 2024
$2.8M
NIGMS NIH HHS R01 GM140287
6 · The paper itself

Abstract

RNA sequencing (RNA-seq) has become an exemplary technology in modern biology and clinical science. Its immense popularity is due in large part to the continuous efforts of the bioinformatics community to develop accurate and scalable computational tools to analyze the enormous amounts of transcriptomic data that it produces. RNA-seq analysis enables genes and their corresponding

Indexed as

bioinformaticsdifferential gene expressionhigh throughput sequencingread alignmentRNA sequencingtranscriptome quantification

Identifiers

PMID36999049
PMCPMC10043755

What OpenQuestion holds

Textfull text, public
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table measurements read1
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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.