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• W2788348538 abstract "We present SeqOthello, an ultra-fast and memory-efficient indexing structure to support arbitrary sequence query against large collections of RNA-seq experiments. It takes SeqOthello only 5 min and 19.1 GB memory to conduct a global survey of 11,658 fusion events against 10,113 TCGA Pan-Cancer RNA-seq datasets. The query recovers 92.7% of tier-1 fusions curated by TCGA Fusion Gene Database and reveals 270 novel occurrences, all of which are present as tumor-specific. By providing a reference-free, alignment-free, and parameter-free sequence search system, SeqOthello will enable large-scale integrative studies using sequence-level data, an undertaking not previously practicable for many individual labs." @default.
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• W2788348538 date "2018-10-19" @default.
• W2788348538 modified "2023-09-23" @default.
• W2788348538 title "SeqOthello: querying RNA-seq experiments at scale" @default.
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• W2788348538 doi "https://doi.org/10.1186/s13059-018-1535-9" @default.
• W2788348538 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6194578" @default.
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• W2788348538 hasPublicationYear "2018" @default.
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