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Bioinformatic Pipelines to Analyze lncRNAs RNAseq Data.
- Source :
-
Methods in molecular biology (Clifton, N.J.) [Methods Mol Biol] 2021; Vol. 2348, pp. 55-69. - Publication Year :
- 2021
-
Abstract
- RNA-sequencing could be nowadays considered the gold standard to study the coding and noncoding transcriptome. The great advantage of high-throughput sequencing in the characterization and quantification of long noncoding RNA (lncRNA) resides in its capability to capture the complexity of lncRNA transcripts configuration patterns, even in the presence of several alternative isoforms, with superior accuracy and discovery power compared to other technologies such as microarrays or PCR-based methods. In this chapter, we provide a protocol for lncRNA analysis using through high-throughput sequencing, indicating the main difficulties in the annotation pipeline and showing how an accurate evaluation of the procedure can help to minimize biased observations.
- Subjects :
- Algorithms
Data Interpretation, Statistical
Databases, Genetic
High-Throughput Nucleotide Sequencing methods
Molecular Sequence Annotation
Software
User-Computer Interface
Web Browser
Computational Biology methods
Gene Expression Profiling methods
RNA, Long Noncoding genetics
Sequence Analysis, RNA methods
Transcriptome
Subjects
Details
- Language :
- English
- ISSN :
- 1940-6029
- Volume :
- 2348
- Database :
- MEDLINE
- Journal :
- Methods in molecular biology (Clifton, N.J.)
- Publication Type :
- Academic Journal
- Accession number :
- 34160799
- Full Text :
- https://doi.org/10.1007/978-1-0716-1581-2_4