Ribo-seq on K562 and HepG2 cells
收藏NIAID Data Ecosystem2026-03-11 收录
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https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE129061
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资源简介:
Deep sequencing methods have matured to comprehensively detect the full set of transcribed loci, but there is a gap to determine the function of the resulting highly complex transcriptomes. To this end, we have developed a new approach named ORFquant to annotate and quantify translation at the single open reading frame (ORF) level using Ribo-seq data. After RNase I footprinting in CHX-containing lysis buffer, RNA fragments around 29nt were isolated and subjected to rRNA depletion using RiboZero.
创建时间:
2020-07-27



