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piRNA Detection Via Multidimensional Small RNA Clustering

piRNA Detection Via Multidimensional Small RNA Clustering. Presented by: Stephanie Schustermann Supervisors: Prof. Eitan Bachmat , Dr. Alal Eran, Mr. Amitai Mordechai. Faculty of Natural Sciences The Department of Computer Science. Ben-Gurion University of the Negev. piRNA:.

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piRNA Detection Via Multidimensional Small RNA Clustering

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  1. piRNA Detection Via Multidimensional Small RNA Clustering Presented by: Stephanie Schustermann Supervisors: Prof. Eitan Bachmat, Dr. Alal Eran, Mr. Amitai Mordechai Faculty of Natural Sciences The Department of Computer Science Ben-Gurion University of the Negev

  2. piRNA: Piwi-interacting RNAs (piRNAs) are a novel class of small RNAs.piRNA complexes are involved in the post-transcriptional silencing of transposon elements. Research shows that mobile elements retro-transpose during neurogenesis.Furthermore, studies have reported the presence of piRNAs in somatic cells including neurons. We conclude that piRNA has a major pathway in human brain development.

  3. Problem Definition: Proposed Solution: Existed algorithms for the detection of piRNA in small-RNA sequencing data rely either on pairwise genomic distance between distinct alignments or on sequence features Exploit unsupervised learning for the identification of piRNA enriched clusters based on genomic features.

  4. Features List:

  5. Results:

  6. Results:

  7. Conclusions and future work: 1. We observed exclusive cluster noticeably enriched with known piRNAs. 2. Future work would include exploration for additional genomic features and optimizing our clustering methods for better segregation between piRNA and non-piRNA sequences.

  8. Thank you • AlalEran • Shirly Freilikhman • Amitai Mordechai • Nicol ZlotnikovPoznianski • Tal Richter • Ariel Katz • Neta Geva • Ido Shalev • Guy Shur

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