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Article

Learning the sequence determinants of alternative splicing from millions of random sequences.

Cell - 22 Oct 2015

Rosenberg Alexander B, Patwardhan Rupali P, Shendure Jay, Seelig Georg

Abstract excerpt

Most human transcripts are alternatively spliced, and many disease-causing mutations affect RNA splicing. Toward better modeling the sequence determinants of alternative splicing, we measured the splicing patterns of over two million (M) synthetic mini-genes, which include degenerate subsequences totaling over 100 M bases of variation. The massive size of these training data allowed us to improve upon current...

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Identifiers

PMID: 26496609
DOI: 10.1016/j.cell.2015.09.054

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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