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Article: A step-by-step work flow of single cell RNA sequencing data analysis
Title | A step-by-step work flow of single cell RNA sequencing data analysis |
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Authors | |
Keywords | single-cell RNA (scRNA-seq) |
Issue Date | 2021 |
Publisher | International Journal for Scientific Research and Development. The Journal's web site is located at http://www.ijsrd.com/ |
Citation | International Journal for Scientific Research & Development, 2021, v. 9 n. 6, p. 1-13 How to Cite? |
Abstract | Because of creative example planning and sequencing advances, quality articulation in singular cells would now be able to be estimated for a huge number of cells in a solitary trial. Since its presentation, single-cell RNA sequencing (scRNA-seq) approaches have reformed the genomics field as they set out exceptional open doors for settling cell heterogeneity by investigating quality articulation profiles at a solitary cell goal. Notwithstanding the rapidly advancing field of scRNA-seq summoned the rise of different examination approaches expected to expand the maximum capacity of this novel methodology. Dissimilar to populace-based RNA sequencing approaches, scRNA seq requires complete computational instruments to address high information intricacy and stay aware of the arising single-cell-related difficulties. Despite the huge number of scientific strategies, a general normalization is deficient. While this mirrors the fields' youthfulness, it might likewise hamper a newbie to mix in. In this audit, we mean to connect over the previously mentioned jump and propose four prepared to-utilize pipelines for scRNA-seq investigation effectively open by a rookie that could fit different organic information types. Here we give an outline of the right now accessible single-cell advances for cell disconnection and library planning and a bit by bit guide that covers the whole accepted insightful work process to dissect scRNA-seq information including read planning, quality controls, quality articulation measurement, standardization, highlight determination, dimensionality decrease, and cell bunching helpful for direction deduction and differential articulation. Such work-process rules will accompany tenderfoots just as master clients in the examination of complex scRNA-seq datasets, hence further extending the exploration capability of single-cell approaches in essential science, and visualizing its future execution as best practice in the field. |
Description | Bronze open access |
Persistent Identifier | http://hdl.handle.net/10722/301910 |
ISSN |
DC Field | Value | Language |
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dc.contributor.author | Sivasankaran Menon, S | - |
dc.contributor.author | Lui, VCH | - |
dc.contributor.author | Tam, PKH | - |
dc.date.accessioned | 2021-08-21T03:28:47Z | - |
dc.date.available | 2021-08-21T03:28:47Z | - |
dc.date.issued | 2021 | - |
dc.identifier.citation | International Journal for Scientific Research & Development, 2021, v. 9 n. 6, p. 1-13 | - |
dc.identifier.issn | 2321-0613 | - |
dc.identifier.uri | http://hdl.handle.net/10722/301910 | - |
dc.description | Bronze open access | - |
dc.description.abstract | Because of creative example planning and sequencing advances, quality articulation in singular cells would now be able to be estimated for a huge number of cells in a solitary trial. Since its presentation, single-cell RNA sequencing (scRNA-seq) approaches have reformed the genomics field as they set out exceptional open doors for settling cell heterogeneity by investigating quality articulation profiles at a solitary cell goal. Notwithstanding the rapidly advancing field of scRNA-seq summoned the rise of different examination approaches expected to expand the maximum capacity of this novel methodology. Dissimilar to populace-based RNA sequencing approaches, scRNA seq requires complete computational instruments to address high information intricacy and stay aware of the arising single-cell-related difficulties. Despite the huge number of scientific strategies, a general normalization is deficient. While this mirrors the fields' youthfulness, it might likewise hamper a newbie to mix in. In this audit, we mean to connect over the previously mentioned jump and propose four prepared to-utilize pipelines for scRNA-seq investigation effectively open by a rookie that could fit different organic information types. Here we give an outline of the right now accessible single-cell advances for cell disconnection and library planning and a bit by bit guide that covers the whole accepted insightful work process to dissect scRNA-seq information including read planning, quality controls, quality articulation measurement, standardization, highlight determination, dimensionality decrease, and cell bunching helpful for direction deduction and differential articulation. Such work-process rules will accompany tenderfoots just as master clients in the examination of complex scRNA-seq datasets, hence further extending the exploration capability of single-cell approaches in essential science, and visualizing its future execution as best practice in the field. | - |
dc.language | eng | - |
dc.publisher | International Journal for Scientific Research and Development. The Journal's web site is located at http://www.ijsrd.com/ | - |
dc.relation.ispartof | International Journal for Scientific Research & Development | - |
dc.subject | single-cell RNA (scRNA-seq) | - |
dc.title | A step-by-step work flow of single cell RNA sequencing data analysis | - |
dc.type | Article | - |
dc.identifier.email | Sivasankaran Menon, S: sudheer@hku.hk | - |
dc.identifier.email | Lui, VCH: vchlui@hku.hk | - |
dc.identifier.email | Tam, PKH: paultam@hku.hk | - |
dc.identifier.authority | Lui, VCH=rp00363 | - |
dc.identifier.authority | Tam, PKH=rp00060 | - |
dc.description.nature | link_to_OA_fulltext | - |
dc.identifier.hkuros | 324619 | - |
dc.identifier.volume | 9 | - |
dc.identifier.issue | 6 | - |
dc.identifier.spage | 1 | - |
dc.identifier.epage | 13 | - |
dc.publisher.place | India | - |