geneEx - A Novel Tool to Assess Differential Expression from Gene and Exon Sequencing Data Article Swipe
YOU?
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· 2018
· Open Access
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· DOI: https://doi.org/10.5220/0006657501740181
The widespread of Next Generation Sequencing technologies accounted in recent years for the possibility to evaluate gene expression with great accuracy.Moreover, it allowed assessing differential gene expression among biological conditions with high sensitivity.However, state-of-the-art bioinformatics methodologies for differential gene expression evaluation from RNA Sequencing data still suffer from several drawbacks such as reduced specificity.In this paper we propose geneEx, a novel methodology and tool for differential gene expression evaluation from RNA Sequencing reads.By combining gene and exon expression evaluation and BioMart information, geneEX provides users with annotated lists of highly reliable differentially expressed genes.The results obtained in Sequencing Quality Control dataset proven the importance of a novel approach to lower False Positive predictions from current methodologies and the strength of the proposed methodological approach to increase the sensitivity of differentially expressed gene identification.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.5220/0006657501740181
- OA Status
- gold
- Cited By
- 1
- References
- 20
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- OpenAlex ID
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Raw OpenAlex JSON
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https://openalex.org/W2790033466Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.5220/0006657501740181Digital Object Identifier
- Title
-
geneEx - A Novel Tool to Assess Differential Expression from Gene and Exon Sequencing DataWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
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2018Year of publication
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2018-01-01Full publication date if available
- Authors
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Orazio M Scicolone, Giulia Paciello, Elisa FicarraList of authors in order
- Landing page
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https://doi.org/10.5220/0006657501740181Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
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https://doi.org/10.5220/0006657501740181Direct OA link when available
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Gene, Computational biology, Exon, DNA sequencing, Gene expression, Biology, Identification (biology), RNA-Seq, Differential (mechanical device), Genetics, Computer science, Transcriptome, Botany, Aerospace engineering, EngineeringTop concepts (fields/topics) attached by OpenAlex
- Cited by
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1Total citation count in OpenAlex
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2018: 1Per-year citation counts (last 5 years)
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20Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.conditions | 29 |
| abstract_inverted_index.evaluation | 40, 68, 78 |
| abstract_inverted_index.expression | 17, 26, 39, 67, 77 |
| abstract_inverted_index.importance | 103 |
| abstract_inverted_index.widespread | 1 |
| abstract_inverted_index.methodology | 61 |
| abstract_inverted_index.possibility | 13 |
| abstract_inverted_index.predictions | 112 |
| abstract_inverted_index.sensitivity | 127 |
| abstract_inverted_index.differential | 24, 37, 65 |
| abstract_inverted_index.information, | 81 |
| abstract_inverted_index.technologies | 6 |
| abstract_inverted_index.methodologies | 35, 115 |
| abstract_inverted_index.bioinformatics | 34 |
| abstract_inverted_index.differentially | 91, 129 |
| abstract_inverted_index.methodological | 122 |
| abstract_inverted_index.specificity.In | 53 |
| abstract_inverted_index.identification. | 132 |
| abstract_inverted_index.state-of-the-art | 33 |
| abstract_inverted_index.accuracy.Moreover, | 20 |
| abstract_inverted_index.sensitivity.However, | 32 |
| cited_by_percentile_year.max | 94 |
| cited_by_percentile_year.min | 90 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 3 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/2 |
| sustainable_development_goals[0].score | 0.4099999964237213 |
| sustainable_development_goals[0].display_name | Zero hunger |
| citation_normalized_percentile.value | 0.44943412 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |