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On November 27th, the Animal Functional Genomics Innovation Team of the Shenzhen Institute of Agricultural Genomics, Chinese Academy of Agricultural Sciences published an online academic titled "Baiting out a full length sequence from unmapped RNA-seq data" in the "BMC Genomics" magazine In the paper, this research has discovered a new method that can mine the effective information in unmapped RNA-seq data and retrieve its full length
Transcriptome sequencing technology (RNA-seq) is an indispensable tool for biological and medical research, generating approximately 577 trillion base pairs of data sets each year
The research used a rigorous screening process to screen out 36 candidate unmapped reads from the unmapped data of RNA-seq
The research explores the effective unmapped reads information that is usually ignored in RNA-seq analysis, and combines specific reverse transcription primers and next-generation sequencing to retrieve the full-length sequence, providing a new strategy for identifying unknown RNAs and improving The utilization efficiency of RNA-seq data is improved
Figure｜The overall strategy to retrieve the full-length sequence of unmapped reads in RNA-seq data
Doctoral students Li Dongwei and Huang Qitong of the Institute of Genomics are the co-first authors, and researcher Yubo Zhang of the Institute of Genomics is the corresponding author
Original link: https://bmcgenomics.
