RNA-Seq by massively parallel sequencing is a potent way to perform transcriptome and small non-coding RNA (ncRNAs) analyses. Recent reports of the ENCODE project underline that while 80% of the human genome is transcribed, only 2% is protein coding, suggesting that the vast majority of the genome is transcribed as non-protein-coding RNA. We have developed an automated web-based platform, nc-aReNA, for the mapping, classification and annotation of human and mouse ncRNAs from RNA-Seq data. The platform isbased on a data-warehouse approach and workflow environment that includes data quality control, genome and nc-RNAome sequence alignment, differential expression profiling analysis and statistics of classified data.
nc-aReNA: an integrated web-based platform for small non-coding RNAs data analysis
Flavio Licciulli
2015-01-01
Abstract
RNA-Seq by massively parallel sequencing is a potent way to perform transcriptome and small non-coding RNA (ncRNAs) analyses. Recent reports of the ENCODE project underline that while 80% of the human genome is transcribed, only 2% is protein coding, suggesting that the vast majority of the genome is transcribed as non-protein-coding RNA. We have developed an automated web-based platform, nc-aReNA, for the mapping, classification and annotation of human and mouse ncRNAs from RNA-Seq data. The platform isbased on a data-warehouse approach and workflow environment that includes data quality control, genome and nc-RNAome sequence alignment, differential expression profiling analysis and statistics of classified data.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
