{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,21]],"date-time":"2026-03-21T21:27:11Z","timestamp":1774128431579,"version":"3.50.1"},"reference-count":40,"publisher":"Oxford University Press (OUP)","issue":"17","license":[{"start":{"date-parts":[[2021,3,2]],"date-time":"2021-03-02T00:00:00Z","timestamp":1614643200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"funder":[{"DOI":"10.13039\/501100003074","name":"Agencia Nacional de Promoci\u00f3n Cient\u00edfica y Tecnol\u00f3gica","doi-asserted-by":"crossref","id":[{"id":"10.13039\/501100003074","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100005363","name":"University of Buenos Aires","doi-asserted-by":"publisher","award":["20020170100356BA"],"award-info":[{"award-number":["20020170100356BA"]}],"id":[{"id":"10.13039\/501100005363","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Carrera de Investigador of Consejo Nacional de Investigaciones Cient\u00edficas y T\u00e9cnicas"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,9,9]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec>\n                  <jats:title>Motivation<\/jats:title>\n                  <jats:p>Genome-wide analysis of alternative splicing has been a very active field of research since the early days of next generation sequencing technologies. Since then, ever-growing data availability and the development of increasingly sophisticated analysis methods have uncovered the complexity of the general splicing repertoire. A large number of splicing analysis methodologies exist, each of them presenting its own strengths and weaknesses. For instance, methods exclusively relying on junction information do not take advantage of the large majority of reads produced in an RNA-seq assay, isoform reconstruction methods might not detect novel intron retention events, some solutions can only handle canonical splicing events, and many existing methods can only perform pairwise comparisons.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>In this contribution, we present ASpli, a computational suite implemented in R statistical language, that allows the identification of changes in both, annotated and novel alternative-splicing events and can deal with simple, multi-factor or paired experimental designs. Our integrative computational workflow, that considers the same GLM model applied to different sets of reads and junctions, allows computation of complementary splicing signals.<\/jats:p>\n                  <jats:p>Analyzing simulated and real data, we found that the consolidation of these signals resulted in a robust proxy of the occurrence of splicing alterations. While the analysis of junctions allowed us to uncover annotated as well as non-annotated events, read coverage signals notably increased recall capabilities at a very competitive performance when compared against other state-of-the-art splicing analysis algorithms.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Availability and implementation<\/jats:title>\n                  <jats:p>ASpli is freely available from the Bioconductor project site https:\/\/doi.org\/doi:10.18129\/B9.bioc.ASpli.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Supplementary information<\/jats:title>\n                  <jats:p>Supplementary data are available at Bioinformatics online.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1093\/bioinformatics\/btab141","type":"journal-article","created":{"date-parts":[[2021,2,27]],"date-time":"2021-02-27T20:11:39Z","timestamp":1614456699000},"page":"2609-2616","source":"Crossref","is-referenced-by-count":70,"title":["ASpli: integrative analysis of splicing landscapes through RNA-Seq assays"],"prefix":"10.1093","volume":"37","author":[{"given":"Estefania","family":"Mancini","sequence":"first","affiliation":[{"name":"Gene Regulation, Stem Cells and Cancer Program, Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Spain"}]},{"given":"Andres","family":"Rabinovich","sequence":"additional","affiliation":[{"name":"Integrative Systems Biology, Fundacion Instituto Leloir, Buenos Aires, Argentina"},{"name":"Instituto de Investigaciones Bioqu\u00edmicas de Buenos Aires, Consejo Nacional de Investigaciones Cient\u00edficas y T\u00e9cnicas (CONICET), Buenos Aires, Argentina"}]},{"given":"Javier","family":"Iserte","sequence":"additional","affiliation":[{"name":"Instituto de Investigaciones Bioqu\u00edmicas de Buenos Aires, Consejo Nacional de Investigaciones Cient\u00edficas y T\u00e9cnicas (CONICET), Buenos Aires, Argentina"},{"name":"DStructural Bioinformatics, Fundacion Instituto Leloir, Buenos Aires, Argentina"}]},{"given":"Marcelo","family":"Yanovsky","sequence":"additional","affiliation":[{"name":"Instituto de Investigaciones Bioqu\u00edmicas de Buenos Aires, Consejo Nacional de Investigaciones Cient\u00edficas y T\u00e9cnicas (CONICET), Buenos Aires, Argentina"},{"name":"Comparative Genomics of Plant Development, Fundacion Instituto Leloir , Buenos Aires, Argentina"}]},{"given":"Ariel","family":"Chernomoretz","sequence":"additional","affiliation":[{"name":"Integrative Systems Biology, Fundacion Instituto Leloir, Buenos Aires, Argentina"},{"name":"DStructural Bioinformatics, Fundacion Instituto Leloir, Buenos Aires, Argentina"}]}],"member":"286","published-online":{"date-parts":[[2021,3,2]]},"reference":[{"key":"2023051609203756800_btab141-B1","doi-asserted-by":"crossref","first-page":"2008","DOI":"10.1101\/gr.133744.111","article-title":"Detecting differential usage of exons from RNA-seq data","volume":"22","author":"Anders","year":"2012","journal-title":"Genome Res"},{"key":"2023051609203756800_btab141-B2","doi-asserted-by":"crossref","first-page":"593","DOI":"10.1534\/genetics.117.300139","article-title":"Rhythmic behavior is controlled by the SRm160 splicing factor in Drosophila melanogaster","volume":"207","author":"Beckwith","year":"2017","journal-title":"Genetics"},{"key":"2023051609203756800_btab141-B3","doi-asserted-by":"crossref","first-page":"525","DOI":"10.1038\/nbt.3519","article-title":"Near-optimal probabilistic RNA-seq quantification","volume":"34","author":"Bray","year":"2016","journal-title":"Nat. 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