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Discovered motifs

148 potential motifs are identified by analysing thousands of small RNA SRA sequencing samples DREME Discriminative Regular Expression Motif Elicitation For further information on how to interpret these results or to get a copy of the MEME software please access http://meme.nbcr.net. If you use DREME in your research please cite the following paper: Timothy L.

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Analysis flowchart

A total of 2485 entries of Sequence Read Archive (SRA) from Human small RNAseq samples containing trillion of bases of total sum size 1.23 TB were retrieved and processed using SRA Toolkit. Adapter trimming and sequence quality filtering was done using ea-utils. The resulting filtered fastq files are indexed using in-house developed algorithm. The index files were compiled using using

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NepSeq algorithm

With the advent of next generation sequencing in 2008, the volume of biological data is growing exponentially. The sequence data are retained by NCBI Sequence Read Archive (SRA) at National Institutes of Health’s (NIH), EBI Sequence Read Archive (ERA) at European Bioinformatics Institute (EBI) and DDBJ Sequence Read Archive (DRA) at DNA Data Bank of

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