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2016 ; 17
(1
): 215
Nephropedia Template TP
gab.com Text
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English Wikipedia
A comprehensive database of high-throughput sequencing-based RNA secondary
structure probing data (Structure Surfer)
#MMPMID27188311
Berkowitz ND
; Silverman IM
; Childress DM
; Kazan H
; Wang LS
; Gregory BD
BMC Bioinformatics
2016[May]; 17
(1
): 215
PMID27188311
show ga
BACKGROUND: RNA molecules fold into complex three-dimensional shapes, guided by
the pattern of hydrogen bonding between nucleotides. This pattern of base
pairing, known as RNA secondary structure, is critical to their cellular
function. Recently several diverse methods have been developed to assay RNA
secondary structure on a transcriptome-wide scale using high-throughput
sequencing. Each approach has its own strengths and caveats, however there is no
widely available tool for visualizing and comparing the results from these varied
methods. METHODS: To address this, we have developed Structure Surfer, a database
and visualization tool for inspecting RNA secondary structure in six
transcriptome-wide data sets from human and mouse (
http://tesla.pcbi.upenn.edu/strucuturesurfer/ ). The data sets were generated
using four different high-throughput sequencing based methods. Each one was
analyzed with a scoring pipeline specific to its experimental design. Users of
Structure Surfer have the ability to query individual loci as well as detect
trends across multiple sites. RESULTS: Here, we describe the included data sets
and their differences. We illustrate the database's function by examining known
structural elements and we explore example use cases in which combined data is
used to detect structural trends. CONCLUSIONS: In total, Structure Surfer
provides an easy-to-use database and visualization interface for allowing users
to interrogate the currently available transcriptome-wide RNA secondary structure
information for mammals.