Paper · 42938423

SpliceCOV: Supervised Filtering of RNA-Seq-Derived Transcript Features Improves Transcriptome Assembly.

Hoh C and 4 others. Genes (Basel), 2026.

11 sourcespapers-2026-11-12-0.1.0

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ConductScience Library. SpliceCOV: Supervised Filtering of RNA-Seq-Derived Transcript Features Improves Transcriptome Assembly. Papers, record 42938423. Release papers-2026-11-12-0.1.0, 12 Nov 2026. https://conductscience.org/library/papers/42938423

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Paper

PubMed's record of the paper, with iCite's citation figures. No abstract is shown.

Title: SpliceCOV: Supervised Filtering of RNA-Seq-Derived Transcript Features Improves Transcriptome Assembly.
Journal: Genes (Basel)
Year: 2026
Publication types: Journal Article
PubMed: https://pubmed.ncbi.nlm.nih.gov/42938423/
DOI: https://doi.org/10.3390/genes17101307
PMC: https://pmc.ncbi.nlm.nih.gov/articles/PMC13704264/
The journal: https://conductscience.org/library/journal-index/101551097
Revised in PubMed: 2026-10-29

Source PubMed

Authors5

The authors in the order PubMed's record lists them, with the ORCID iDs it states.

Order	Author	Forename	ORCID iD
1	Hoh C	Celine	https://orcid.org/0009-0001-6896-125X
2	Shinder I	Ida	https://orcid.org/0000-0002-1651-9347
3	Chao KH	Kuan-Hao
4	Varabyou A	Ales
5	Pertea M	Mihaela	https://orcid.org/0000-0003-0762-8637

Source PubMed

Topics10

NLM's MeSH indexing of the paper, its major topics first.

MeSH term	Major
RNA-Seq	Major topic
Transcriptome	Major topic
Gene Expression Profiling	Major topic
Sequence Analysis, RNA	Major topic
Software	Major topic
Humans
RNA Splice Sites
High-Throughput Nucleotide Sequencing
Molecular Sequence Annotation
Algorithms

Source PubMed

Grants3

Each grant PubMed's record writes, matched to the NIH project NIH's grant and paper links name for this paper, and each of those links the record does not write.

Grant, as the record writes it	Agency	Country	NIH project	Stated by	Source
R35 GM156470	NIGMS NIH HHS	United States	R35GM156470	PubMed	NIH RePORTER
R35GM156470-02	NIGMS NIH HHS	United States	R35GM156470	PubMed	NIH RePORTER
DBI-2412449	U.S. National Science Foundation			PubMed	PubMed

Trials0

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None in this release.

Comments and corrections0

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None in this release.

References31

The papers the reference list in PubMed's record names, those in our copy of PubMed, in the list's order.

Order	PMID	Title	Journal	Year	In Papers	Source
1	42,157,005	StringTie3 improves total RNA-seq assembly by resolving nascent and mature transcripts.	Nat Methods	2026	https://conductscience.org/library/papers/42157005	PubMed
2	41,770,630	Raw signal segmentation for estimating RNA modification from Nanopore direct RNA sequencing data.	Elife	2026	https://conductscience.org/library/papers/41770630	PubMed
3	20,502,517	Most "dark matter" transcripts are associated with known genes.	PLoS Biol	2010	https://conductscience.org/library/papers/20502517	PubMed
4	29,202,200	Alternative start and termination sites of transcription drive most transcript isoform differences across human tissues.	Nucleic Acids Res	2018	https://conductscience.org/library/papers/29202200	PubMed
5	22,955,620	Landscape of transcription in human cells.	Nature	2012	https://conductscience.org/library/papers/22955620	PubMed
6	32,913,098	The GTEx Consortium atlas of genetic regulatory effects across human tissues.	Science	2020	https://conductscience.org/library/papers/32913098	PubMed
7	25,409,824	A comparative encyclopedia of DNA elements in the mouse genome.	Nature	2014	https://conductscience.org/library/papers/25409824	PubMed
8	18,516,046	Stem cell transcriptome profiling via massive-scale mRNA sequencing.	Nat Methods	2008	https://conductscience.org/library/papers/18516046	PubMed
9	18,451,266	The transcriptional landscape of the yeast genome defined by RNA sequencing.	Science	2008	https://conductscience.org/library/papers/18451266	PubMed
10	41,162,646	Annotating the genome at single-nucleotide resolution with DNA foundation models.	Nat Methods	2025	https://conductscience.org/library/papers/41162646	PubMed

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Cited by0

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Genes0

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None in this release.

Drugs0

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Data0

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None in this release.

Data dates

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PubMed: 2026-11-06; PubMed
iCite: 2026-11-05; iCite
PMC's ID file: 2026-11-05; PMC's ID file
NIH RePORTER's grant and paper links: 2026-11-01; NIH RePORTER's grant and paper links
Trials: 2026-11-12
Gene search: 2026-11-11
Pipelines: 2026-09-18

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ClinicalTrials.govNo license stated
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NIH RePORTER's grant and paper linksPublic domain
Open TargetsCC0 1.0
PMC's ID filePublic domain (US government)
PubMedNLM's terms
PubTator 3Public domain
UniProtCC BY 4.0

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ChEMBL, through Open TargetsCC BY-SA 3.0, for the parts from ChEMBL. Read on 8 Nov 2026 at https://platform-docs.opentargets.org/licence
ClinicalTrials.govnone stated
HGNCCC0: https://www.genenames.org/about/license/
iCiteCC BY 4.0
NCBI GeneNone named for the file. NCBI says information created by or for the US government on its site is in the public domain, and asks that NLM be acknowledged: https://www.ncbi.nlm.nih.gov/home/about/policies/
NIH RePORTER's grant and paper linksPublic domain (NIH RePORTER)
Open TargetsCC0 1.0. Open Targets asks that users cite its latest paper: Buniello et al. 2025, Open Targets Platform: facilitating therapeutic hypotheses building in drug discovery, Nucleic Acids Research 53(D1):D1467, PMID 39657122. Read on 8 Nov 2026 at https://platform-docs.opentargets.org/licence
PMC's ID fileNone named for the file. NCBI says information created by or for the US government on its site is in the public domain, and asks that NLM be acknowledged: https://www.ncbi.nlm.nih.gov/home/about/policies/
PubMedNLM's terms
PubTator 3Public domain
UniProtCC BY 4.0. UniProt's licence file: "All databases and documents in the UniProt FTP directory may be copied and redistributed freely, without advance permission, provided that this copyright statement is reproduced with each copy." UniProt asks that users cite its latest paper: The UniProt Consortium, UniProt: the Universal Protein Knowledgebase in 2025, Nucleic Acids Research 53:D609-D617, https://doi.org/10.1093/nar/gkae1010. Read on 9 Nov 2026 at https://www.uniprot.org/help/license

ClinicalTrials.gov's data carry an international copyright outside the United States: https://clinicaltrials.gov/about-site/terms-conditions.

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