Paper · 15979196
Issues in the analysis of oligonucleotide tiling microarrays for transcript mapping.
Royce TE and 8 others. Trends Genet, 2005. Cited by 71 papers, by iCite.
11 sourcespapers-2026-11-12-0.1.0
Cite this record
ConductScience Library. Issues in the analysis of oligonucleotide tiling microarrays for transcript mapping. Papers, record 15979196. Release papers-2026-11-12-0.1.0, 12 Nov 2026. https://conductscience.org/library/papers/15979196
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Paper
PubMed's record of the paper, with iCite's citation figures. No abstract is shown.
- Publication types
- Comparative Study, Journal Article, Research Support, N.I.H., Extramural, Research Support, U.S. Gov't, P.H.S., Review
- PubMed
Topics8
NLM's MeSH indexing of the paper, its major topics first.
| MeSH term | Major |
|---|---|
| Oligonucleotide Array Sequence Analysis | Major topic |
| Algorithms | |
| Base Sequence | |
| Computational Biology | |
| DNA | |
| Humans | |
| Molecular Probes | |
| Transcription, Genetic |
Source PubMed
Grants2
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 |
|---|---|---|---|---|
| P50 HG002357 | NHGRI NIH HHS | United States | P50HG002357 | PubMed and NIH |
| P50 HG 02357 | NHGRI NIH HHS | United States | P50HG002357 | PubMed and NIH |
Source NIH RePORTER
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.
References34
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 | 11,237,012 | Experimental annotation of the human genome using microarray technology. | Nature | 2001 | https://conductscience.org/library/papers/11237012 | PubMed |
| 2 | 11,691,856 | High-throughput variation detection and genotyping using microarrays. | Genome Res | 2001 | https://conductscience.org/library/papers/11691856 | PubMed |
| 3 | 11,988,577 | Large-scale transcriptional activity in chromosomes 21 and 22. | Science | 2002 | https://conductscience.org/library/papers/11988577 | PubMed |
| 4 | 12,016,055 | Making sense of microarray data distributions. | Bioinformatics | 2002 | https://conductscience.org/library/papers/12016055 | PubMed |
| 5 | 12,073,330 | ChIP-chip: a genomic approach for identifying transcription factor binding sites. | Methods Enzymol | 2002 | https://conductscience.org/library/papers/12073330 | PubMed |
| 6 | 12,202,758 | Transcriptome analysis of Escherichia coli using high-density oligonucleotide probe arrays. | Nucleic Acids Res | 2002 | https://conductscience.org/library/papers/12202758 | PubMed |
| 7 | 12,421,762 | Gene expression analysis using oligonucleotide arrays produced by maskless photolithography. | Genome Res | 2002 | https://conductscience.org/library/papers/12421762 | PubMed |
| 8 | 12,454,644 | Microarray data normalization and transformation. | Nat Genet | 2002 | https://conductscience.org/library/papers/12454644 | PubMed |
| 9 | 12,584,122 | Identifying differentially expressed genes using false discovery rate controlling procedures. | Bioinformatics | 2003 | https://conductscience.org/library/papers/12584122 | PubMed |
| 10 | 12,600,945 | The transcriptional activity of human Chromosome 22. | Genes Dev | 2003 | https://conductscience.org/library/papers/12600945 | PubMed |
1 to 10 of 34
See all 34 referencesCited by44
The papers in our copy of PubMed whose reference list names this one, newest first. iCite, which reads more sources, counts 71 citations.
| PMID | Title | Journal | Year | In Papers | Source |
|---|---|---|---|---|---|
| 29,934,598 | Analysis of sensitive information leakage in functional genomics signal profiles through genomic deletions. | Nat Commun | 2018 | https://conductscience.org/library/papers/29934598 | PubMed |
| 28,112,249 | Decreased expression of pseudogene PTENP1 promotes malignant behaviours and is associated with the poor survival of patients with HNSCC. | Sci Rep | 2017 | https://conductscience.org/library/papers/28112249 | PubMed |
| 27,857,566 | Insight into the sequence specificity of a probe on an Affymetrix GeneChip by titration experiments using only one oligonucleotide. | Biophysics (Nagoya-shi) | 2007 | https://conductscience.org/library/papers/27857566 | PubMed |
| 27,539,025 | A new avenue for obtaining insight into the functional characteristics of long noncoding RNAs associated with estrogen receptor signaling. | Sci Rep | 2016 | https://conductscience.org/library/papers/27539025 | PubMed |
| 24,937,006 | A method for detecting long non-coding RNAs with tiled RNA expression microarrays. | PLoS One | 2014 | https://conductscience.org/library/papers/24937006 | PubMed |
| 23,887,659 | Detecting and comparing non-coding RNAs in the high-throughput era. | Int J Mol Sci | 2013 | https://conductscience.org/library/papers/23887659 | PubMed |
| 23,776,682 | Genome-wide survey of cold stress regulated alternative splicing in Arabidopsis thaliana with tiling microarray. | PLoS One | 2013 | https://conductscience.org/library/papers/23776682 | PubMed |
| 23,216,884 | Flexible and efficient genome tiling design with penalized uniqueness score. | BMC Bioinformatics | 2012 | https://conductscience.org/library/papers/23216884 | PubMed |
| 23,100,713 | Functional genomics as a tool in virus research. | Indian J Microbiol | 2008 | https://conductscience.org/library/papers/23100713 | PubMed |
| 22,499,683 | Fast wavelet based functional models for transcriptome analysis with tiling arrays. | Stat Appl Genet Mol Biol | 2012 | https://conductscience.org/library/papers/22499683 | PubMed |
1 to 10 of 44
See all 44 cited byGenes0
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None in this release.
Drugs0
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None in this release.
Data0
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Data dates
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- 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.
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