Evidence map›Paper›PMID 31842956›Full record

ArticleGenome biology2019

Transcriptome assembly from long-read RNA-seq alignments with StringTie2.

Sam Kovaka, Aleksey V Zimin, Geo M Pertea, Roham Razaghi, Steven L Salzberg, Mihaela Pertea

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in Genome biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1,255 papers.

0numbers the graph read from it
0cells of the map it votes in
1,255citing papers in PubMed
60.7field-weighted citation impact, top 1% of its field
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

1,255 citing papers in PubMed, 2,037 citations in OpenAlex.

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  9. Genome analysis of the glycosphingolipid-producing green alga tetraselmis sp. NKG400013.DNA research : an international journal for rapid publication of reports on genes and genomes · 2026
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1,195 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

6 authors at 1 institution in 1 country.

Sam KovakaDepartment of Computer Science, Johns Hopkins University, Baltimore, MD, 21218, USA.
Aleksey V ZiminCenter for Computational Biology, Whiting School of Engineering, Johns Hopkins University, Baltimore, MD, 21205, USA.
Geo M PerteaCenter for Computational Biology, Whiting School of Engineering, Johns Hopkins University, Baltimore, MD, 21205, USA.
Roham RazaghiCenter for Computational Biology, Whiting School of Engineering, Johns Hopkins University, Baltimore, MD, 21205, USA.
Steven L SalzbergDepartment of Computer Science, Johns Hopkins University, Baltimore, MD, 21218, USA.
Mihaela PerteaCenter for Computational Biology, Whiting School of Engineering, Johns Hopkins University, Baltimore, MD, 21205, USA. mpertea@jhu.edu.ORCID 0000-0003-0762-8637
Johns Hopkins University · US

Funding

Computational Methods for Genome Assembly, Transcript Assembly, and Variant DiscoveryR01HG006677 · NHGRI · JOHNS HOPKINS UNIVERSITY · PI SALZBERG, STEVEN L. · 2011 to 2025
$10.7M
GENE REGULATION IN HORMONE SIGNAL TRANSDUCTIONF32GM013051 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI BARFOD, ELISABETH T · 1989 to 1992
–
NHGRI NIH HHS R01 HG006677NIGMS NIH HHS R35GM13051NIH HHS R01-HG006677
6 · The paper itself

Abstract

RNA sequencing using the latest single-molecule sequencing instruments produces reads that are thousands of nucleotides long. The ability to assemble these long reads can greatly improve the sensitivity of long-read analyses. Here we present StringTie2, a reference-guided transcriptome assembler that works with both short and long reads. StringTie2 includes new methods to handle the high error rate of long reads and offers the ability to work with full-length super-reads assembled from short reads, which further improves the quality of short-read assemblies. StringTie2 is more accurate and faster and uses less memory than all comparable short-read and long-read analysis tools.

Indexed as

Genetic TechniquesTranscriptomeAnimalsArabidopsisGenomicsHumansSequence Analysis, RNASoftwareZea maysGene expressionLong-read sequencingRNA-seqTranscriptome assembly

Identifiers

PMID31842956
PMCPMC6912988
OpenAlexW2995527562

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.