Paper · 30679697
Temporal dynamics in meta longitudinal RNA-Seq data.
Oh S and 5 others. Sci Rep, 2019. Cited by 7 papers, by iCite.
11 sourcespapers-2026-11-12-0.1.0
Cite this record
ConductScience Library. Temporal dynamics in meta longitudinal RNA-Seq data. Papers, record 30679697. Release papers-2026-11-12-0.1.0, 12 Nov 2026. https://conductscience.org/library/papers/30679697
On this page
Paper
PubMed's record of the paper, with iCite's citation figures. No abstract is shown.
- Publication types
- Journal Article, Research Support, Non-U.S. Gov't, Research Support, U.S. Gov't, Non-P.H.S.
- PubMed
Topics9
NLM's MeSH indexing of the paper, its major topics first.
| MeSH term | Major |
|---|---|
| Genome | Major topic |
| RNA-Seq | Major topic |
| Sequence Analysis, RNA | Major topic |
| Exome Sequencing | Major topic |
| Alternative Splicing | |
| Exons | |
| Gene Expression Profiling | |
| Humans | |
| Protein Isoforms |
Source PubMed
Grants0
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.
None in this release.
Trials0
The trials whose ClinicalTrials.gov record lists the paper, and the trial numbers the paper's PubMed record names.
None in this release.
Comments and corrections0
PubMed's comments and corrections, NLM's own indexing: retractions first, then expressions of concern, errata and updates, and comments last.
None in this release.
References90
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 | 17,344,846 | Patterns of somatic mutation in human cancer genomes. | Nature | 2007 | https://conductscience.org/library/papers/17344846 | PubMed |
| 2 | 19,131,956 | Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources. | Nat Protoc | 2009 | https://conductscience.org/library/papers/19131956 | PubMed |
| 3 | 19,910,308 | edgeR: a Bioconductor package for differential expression analysis of digital gene expression data. | Bioinformatics | 2010 | https://conductscience.org/library/papers/19910308 | PubMed |
| 4 | 20,838,408 | Tackling the widespread and critical impact of batch effects in high-throughput data. | Nat Rev Genet | 2010 | https://conductscience.org/library/papers/20838408 | PubMed |
| 5 | 27,197,554 | Possible mechanisms of host resistance to Haemonchus contortus infection in sheep breeds native to the Canary Islands. | Sci Rep | 2016 | https://conductscience.org/library/papers/27197554 | PubMed |
| 6 | 28,224,498 | Differential Gene Expression (DEX) and Alternative Splicing Events (ASE) for Temporal Dynamic Processes Using HMMs and Hierarchical Bayesian Modeling Approaches. | Methods Mol Biol | 2017 | https://conductscience.org/library/papers/28224498 | PubMed |
| 7 | 18,959,772 | minet: A R/Bioconductor package for inferring large transcriptional networks using mutual information. | BMC Bioinformatics | 2008 | https://conductscience.org/library/papers/18959772 | PubMed |
| 8 | 25,925,576 | Why weight? Modelling sample and observational level variability improves power in RNA-seq analyses. | Nucleic Acids Res | 2015 | https://conductscience.org/library/papers/25925576 | PubMed |
| 9 | 25,260,700 | HTSeq--a Python framework to work with high-throughput sequencing data. | Bioinformatics | 2015 | https://conductscience.org/library/papers/25260700 | PubMed |
| 10 | 27,505,168 | Natural Cubic Spline Regression Modeling Followed by Dynamic Network Reconstruction for the Identification of Radiation-Sensitivity Gene Association Networks from Time-Course Transcriptome Data. | PLoS One | 2016 | https://conductscience.org/library/papers/27505168 | PubMed |
1 to 10 of 90
See all 90 referencesCited by6
The papers in our copy of PubMed whose reference list names this one, newest first. iCite, which reads more sources, counts 7 citations.
| PMID | Title | Journal | Year | In Papers | Source |
|---|---|---|---|---|---|
| 42,517,973 | Cellular senescence-related gene variants as risk factors for recurrent pregnancy loss. | Mol Biol Rep | 2026 | https://conductscience.org/library/papers/42517973 | PubMed |
| 39,535,493 | Wise Roles and Future Visionary Endeavors of Current Emperor: Advancing Dynamic Methods for Longitudinal Microbiome Meta-Omics Data in Personalized and Precision Medicine. | Adv Sci (Weinh) | 2024 | https://conductscience.org/library/papers/39535493 | PubMed |
| 35,327,945 | Large-Scale Meta-Longitudinal Microbiome Data with a Known Batch Factor. | Genes (Basel) | 2022 | https://conductscience.org/library/papers/35327945 | PubMed |
| 35,052,413 | TimesVector-Web: A Web Service for Analysing Time Course Transcriptome Data with Multiple Conditions. | Genes (Basel) | 2021 | https://conductscience.org/library/papers/35052413 | PubMed |
| 34,194,470 | Challenges, Strategies, and Perspectives for Reference-Independent Longitudinal Multi-Omic Microbiome Studies. | Front Genet | 2021 | https://conductscience.org/library/papers/34194470 | PubMed |
| 33,673,721 | Temporal Dynamic Methods for Bulk RNA-Seq Time Series Data. | Genes (Basel) | 2021 | https://conductscience.org/library/papers/33673721 | PubMed |
Genes0
The genes the Gene search release ties to the paper: Swiss-Prot's references first, then PubTator's text mining.
None in this release.
Drugs0
The drugs whose trials, in the Pipelines release, list the paper.
None in this release.
Data0
The data bank entries PubMed's record names. Trial numbers are under Trials.
None in this release.
Data dates
The date of each source this release read.
- Trials
- 2026-11-12
- Gene search
- 2026-11-11
- Pipelines
- 2026-09-18
Sources 11
- ChEMBL, through Open TargetsCC BY-SA 3.0
- ClinicalTrials.govNo license stated
- HGNCCC0
- iCiteCC BY 4.0
- NCBI GenePublic domain (US government)
- 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
Each source's terms
- 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.
For software
Read this paper from software.
The record and each of its lists are JSON, twenty rows a page. No key.
GET https://conductscience.org/api/papers/v1/30679697
GET https://conductscience.org/api/papers/v1/30679697/references?page=2