Analysis of Whole Transcriptome Sequencing Data: Workflow and Software
RNA is a polymeric molecule implicated in various biological processes, such as the coding, decoding, regulation, and expression of genes. Numerous studies have examined RNA features using whole transcriptome sequencing (RNA-seq) approaches. RNA-seq is a powerful technique for characterizing and qua...
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| Format: | Article |
| Language: | English |
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BioMed Central
2015-12-01
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| Series: | Genomics & Informatics |
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| Online Access: | http://genominfo.org/upload/pdf/gni-13-119.pdf |
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| _version_ | 1832568715372134400 |
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| author | In Seok Yang Sangwoo Kim |
| author_facet | In Seok Yang Sangwoo Kim |
| author_sort | In Seok Yang |
| collection | DOAJ |
| description | RNA is a polymeric molecule implicated in various biological processes, such as the coding, decoding, regulation, and expression of genes. Numerous studies have examined RNA features using whole transcriptome sequencing (RNA-seq) approaches. RNA-seq is a powerful technique for characterizing and quantifying the transcriptome and accelerates the development of bioinformatics software. In this review, we introduce routine RNA-seq workflow together with related software, focusing particularly on transcriptome reconstruction and expression quantification. |
| format | Article |
| id | doaj-art-7ba36094bbed4e3fa636b9f1db06ba81 |
| institution | Kabale University |
| issn | 1598-866X 2234-0742 |
| language | English |
| publishDate | 2015-12-01 |
| publisher | BioMed Central |
| record_format | Article |
| series | Genomics & Informatics |
| spelling | doaj-art-7ba36094bbed4e3fa636b9f1db06ba812025-02-03T00:44:42ZengBioMed CentralGenomics & Informatics1598-866X2234-07422015-12-0113411912510.5808/GI.2015.13.4.119141Analysis of Whole Transcriptome Sequencing Data: Workflow and SoftwareIn Seok Yang0Sangwoo Kim1Severance Biomedical Science Institute, Yonsei University College of Medicine, Seoul 03722, Korea.Severance Biomedical Science Institute, Yonsei University College of Medicine, Seoul 03722, Korea.RNA is a polymeric molecule implicated in various biological processes, such as the coding, decoding, regulation, and expression of genes. Numerous studies have examined RNA features using whole transcriptome sequencing (RNA-seq) approaches. RNA-seq is a powerful technique for characterizing and quantifying the transcriptome and accelerates the development of bioinformatics software. In this review, we introduce routine RNA-seq workflow together with related software, focusing particularly on transcriptome reconstruction and expression quantification.http://genominfo.org/upload/pdf/gni-13-119.pdfbioinformatics toolsgene expressionhigh-throughput RNA sequencingtranscript |
| spellingShingle | In Seok Yang Sangwoo Kim Analysis of Whole Transcriptome Sequencing Data: Workflow and Software Genomics & Informatics bioinformatics tools gene expression high-throughput RNA sequencing transcript |
| title | Analysis of Whole Transcriptome Sequencing Data: Workflow and Software |
| title_full | Analysis of Whole Transcriptome Sequencing Data: Workflow and Software |
| title_fullStr | Analysis of Whole Transcriptome Sequencing Data: Workflow and Software |
| title_full_unstemmed | Analysis of Whole Transcriptome Sequencing Data: Workflow and Software |
| title_short | Analysis of Whole Transcriptome Sequencing Data: Workflow and Software |
| title_sort | analysis of whole transcriptome sequencing data workflow and software |
| topic | bioinformatics tools gene expression high-throughput RNA sequencing transcript |
| url | http://genominfo.org/upload/pdf/gni-13-119.pdf |
| work_keys_str_mv | AT inseokyang analysisofwholetranscriptomesequencingdataworkflowandsoftware AT sangwookim analysisofwholetranscriptomesequencingdataworkflowandsoftware |