DSAP: Deep-sequencing Small RNA Analysis Pipeline
Overview
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DSAP is an automated multiple-task web service designed to provide a total solution to analyzing deep-sequencing small RNA datasets generated by next-generation sequencing technology. DSAP uses a tab-delimited file as an input format, which holds the unique sequence reads (tags) and their corresponding number of copies generated by the Solexa sequencing platform. The input data will go through four analysis steps in DSAP: (i) cleanup: removal of adaptors and poly-A/T/C/G/N nucleotides; (ii) clustering: grouping of cleaned sequence tags into unique sequence clusters; (iii) non-coding RNA (ncRNA) matching: sequence homology mapping against a transcribed sequence library from the ncRNA database Rfam (http://rfam.sanger.ac.uk/); and (iv) known miRNA matching: detection of known miRNAs in miRBase (http://www.mirbase.org/) based on sequence homology. The expression levels corresponding to matched ncRNAs and miRNAs are summarized in multi-color clickable bar charts linked to external databases. DSAP is also capable of displaying miRNA expression levels from different jobs using a log(2)-scaled color matrix. Furthermore, a cross-species comparative function is also provided to show the distribution of identified miRNAs in different species as deposited in miRBase. DSAP is available at http://dsap.cgu.edu.tw.
Yuan J, Xie B, Ji Y, Bao H, Wang J, Cheng J Cell Death Dis. 2025; 16(1):25.
PMID: 39827178 PMC: 11742951. DOI: 10.1038/s41419-025-07340-6.
ITAS: Integrated Transcript Annotation for Small RNA.
Stupnikov A, Bezuglov V, Skakov I, Shtratnikova V, Pilsner J, Suvorov A Noncoding RNA. 2022; 8(3).
PMID: 35645337 PMC: 9150019. DOI: 10.3390/ncrna8030030.
RNAdetector: a free user-friendly stand-alone and cloud-based system for RNA-Seq data analysis.
La Ferlita A, Alaimo S, Di Bella S, Martorana E, Laliotis G, Bertoni F BMC Bioinformatics. 2021; 22(1):298.
PMID: 34082707 PMC: 8173825. DOI: 10.1186/s12859-021-04211-7.
Small noncoding RNA discovery and profiling with sRNAtools based on high-throughput sequencing.
Liu Q, Ding C, Lang X, Guo G, Chen J, Su X Brief Bioinform. 2019; 22(1):463-473.
PMID: 31885040 PMC: 7820841. DOI: 10.1093/bib/bbz151.
Visualization of the small RNA transcriptome using seqclusterViz.
Pantano L, Pantano F, Marti E, Ho Sui S F1000Res. 2019; 8.
PMID: 30984380 PMC: 6446497. DOI: 10.12688/f1000research.18142.2.