Literature DB >> 29092009

Machine learning annotation of human branchpoints.

Bethany Signal1,2, Brian S Gloss1,2, Marcel E Dinger1,2, Tim R Mercer1,2,3.   

Abstract

Motivation: The branchpoint element is required for the first lariat-forming reaction in splicing. However current catalogues of human branchpoints remain incomplete due to the difficulty in experimentally identifying these splicing elements. To address this limitation, we have developed a machine-learning algorithm-branchpointer-to identify branchpoint elements solely from gene annotations and genomic sequence.
Results: Using branchpointer, we annotate branchpoint elements in 85% of human gene introns with sensitivity (61.8%) and specificity (97.8%). In addition to annotation, branchpointer can evaluate the impact of SNPs on branchpoint architecture to inform functional interpretation of genetic variants. Branchpointer identifies all published deleterious branchpoint mutations annotated in clinical variant databases, and finds thousands of additional clinical and common genetic variants with similar predicted effects. This genome-wide annotation of branchpoints provides a reference for the genetic analysis of splicing, and the interpretation of noncoding variation. Availability and implementation: Branchpointer is written and implemented in the statistical programming language R and is freely available under a BSD license as a package through Bioconductor. Contact: b.signal@garvan.org.au or t.mercer@garvan.org. Supplementary information: Supplementary data are available at Bioinformatics online.

Entities:  

Mesh:

Year:  2018        PMID: 29092009     DOI: 10.1093/bioinformatics/btx688

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  15 in total

1.  Genomic basis for RNA alterations in cancer.

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Journal:  Nature       Date:  2020-02-05       Impact factor: 49.962

2.  Aberrant splicing contributes to severe α-spectrin-linked congenital hemolytic anemia.

Authors:  Patrick G Gallagher; Yelena Maksimova; Kimberly Lezon-Geyda; Peter E Newburger; Desiree Medeiros; Robin D Hanson; Jennifer Rothman; Sara Israels; Donna A Wall; Robert F Sidonio; Colin Sieff; L Kate Gowans; Nupur Mittal; Roland Rivera-Santiago; David W Speicher; Susan J Baserga; Vincent P Schulz
Journal:  J Clin Invest       Date:  2019-04-30       Impact factor: 14.808

3.  Whole genome, transcriptome and methylome profiling enhances actionable target discovery in high-risk pediatric cancer.

Authors:  Marie Wong; Chelsea Mayoh; Loretta M S Lau; David S Ziegler; Paul G Ekert; Mark J Cowley; Dong-Anh Khuong-Quang; Mark Pinese; Amit Kumar; Paulette Barahona; Emilie E Wilkie; Patricia Sullivan; Rachel Bowen-James; Mustafa Syed; Iñigo Martincorena; Federico Abascal; Alexandra Sherstyuk; Noemi A Bolanos; Jonathan Baber; Peter Priestley; M Emmy M Dolman; Emmy D G Fleuren; Marie-Emilie Gauthier; Emily V A Mould; Velimir Gayevskiy; Andrew J Gifford; Dylan Grebert-Wade; Patrick A Strong; Elodie Manouvrier; Meera Warby; David M Thomas; Judy Kirk; Katherine Tucker; Tracey O'Brien; Frank Alvaro; Geoffry B McCowage; Luciano Dalla-Pozza; Nicholas G Gottardo; Heather Tapp; Paul Wood; Seong-Lin Khaw; Jordan R Hansford; Andrew S Moore; Murray D Norris; Toby N Trahair; Richard B Lock; Vanessa Tyrrell; Michelle Haber; Glenn M Marshall
Journal:  Nat Med       Date:  2020-10-05       Impact factor: 53.440

4.  Vex-seq: high-throughput identification of the impact of genetic variation on pre-mRNA splicing efficiency.

Authors:  Scott I Adamson; Lijun Zhan; Brenton R Graveley
Journal:  Genome Biol       Date:  2018-06-01       Impact factor: 13.583

5.  A sequence-based, deep learning model accurately predicts RNA splicing branchpoints.

Authors:  Joseph M Paggi; Gill Bejerano
Journal:  RNA       Date:  2018-09-17       Impact factor: 4.942

6.  Comprehensive characterisation of intronic mis-splicing mutations in human cancers.

Authors:  Hyunchul Jung; Kang Seon Lee; Jung Kyoon Choi
Journal:  Oncogene       Date:  2021-01-08       Impact factor: 9.867

7.  DHX15-independent roles for TFIP11 in U6 snRNA modification, U4/U6.U5 tri-snRNP assembly and pre-mRNA splicing fidelity.

Authors:  Amandine Duchemin; Tina O'Grady; Sarah Hanache; Agnès Mereau; Marc Thiry; Ludivine Wacheul; Catherine Michaux; Eric Perpète; Eric Hervouet; Paul Peixoto; Felix G M Ernst; Yann Audic; Franck Dequiedt; Denis L J Lafontaine; Denis Mottet
Journal:  Nat Commun       Date:  2021-11-17       Impact factor: 14.919

Review 8.  Learning the Regulatory Code of Gene Expression.

Authors:  Jan Zrimec; Filip Buric; Mariia Kokina; Victor Garcia; Aleksej Zelezniak
Journal:  Front Mol Biosci       Date:  2021-06-10

Review 9.  Realizing the significance of noncoding functionality in clinical genomics.

Authors:  Brian S Gloss; Marcel E Dinger
Journal:  Exp Mol Med       Date:  2018-08-07       Impact factor: 8.718

10.  Cooperative evolution of two different TEs results in lineage-specific novel transcripts in the BLOC1S2 gene.

Authors:  Hyeon-Mu Cho; Sang-Je Park; Se-Hee Choe; Ja-Rang Lee; Sun-Uk Kim; Yeung-Bae Jin; Ji-Su Kim; Sang-Rae Lee; Young-Hyun Kim; Jae-Won Huh
Journal:  BMC Evol Biol       Date:  2019-10-30       Impact factor: 3.260

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