Evidence map›Paper›PMID 31676772›Full record

ArticleNature communications2019

A multi-sample approach increases the accuracy of transcript assembly.

Li Song, Sarven Sabunciyan, Guangyu Yang, Liliana Florea

Abstract read
In one paragraph

Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

  1. Article
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  13. Accurate assembly of multiple RNA-seq samples with Aletsch.Bioinformatics (Oxford, England) · 2024
    Article
  14. Article
  15. Article
  16. Article
  17. Soluble PD-L1 as a diagnostic and prognostic biomarker in resectable gastric cancer patients.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2023
    Article
  18. Review
  19. Article
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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.

Li SongMcKusick-Nathans Institute of Genetic Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA.
Sarven SabunciyanDepartment of Pediatrics, Johns Hopkins School of Medicine, Baltimore, MD, USA.
Guangyu YangMcKusick-Nathans Institute of Genetic Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA.
Liliana FloreaMcKusick-Nathans Institute of Genetic Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA. florea@jhu.edu.ORCID http://orcid.org/0000-0001-8124-2324

Funding

Computational Methods to Characterize Alternative Splicing from Massive Collections of RNA-seq DataR01GM129085 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI FLOREA, LILIANA D · 2019 to 2022
$1.5M
Exonizaton of Alu Insertion PolymorphismsR01GM124531 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI BURNS, KATHLEEN H, FLOREA, LILIANA D · 2017 to 2020
$1.3M
NIGMS NIH HHS R01 GM124531NIGMS NIH HHS R01 GM129085
6 · The paper itself

Abstract

Transcript assembly from RNA-seq reads is a critical step in gene expression and subsequent functional analyses. Here we present PsiCLASS, an accurate and efficient transcript assembler based on an approach that simultaneously analyzes multiple RNA-seq samples. PsiCLASS combines mixture statistical models for exonic feature selection across multiple samples with splice graph based dynamic programming algorithms and a weighted voting scheme for transcript selection. PsiCLASS achieves significantly better sensitivity-precision tradeoff, and renders precision up to 2-3 fold higher than the StringTie system and Scallop plus TACO, the two best current approaches. PsiCLASS is efficient and scalable, assembling 667 GEUVADIS samples in 9 h, and has robust accuracy with large numbers of samples.

Indexed as

AlgorithmsSoftwareComputational BiologyExonsGene Expression ProfilingHumansLiverReproducibility of ResultsRNARNA, MessengerSequence Analysis, RNARNARNA, Messenger

Identifiers

PMID31676772
PMCPMC6825223

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.