By Professor John Stanley Mattick

Preprints

Begik O; Diensthuber G; Borovska I; Mattick J; Incarnato D; Novoa EM, 2025, Long-read transcriptome-wide RNA structure maps using DMS-FIRST-seq, http://dx.doi.org/10.1101/2025.04.22.649934

Cox L; Mattick J; Middleton I; Rizzuto F; Thordarson P, 2025, Specificity of the stabilising interaction between intrinsically disordered protein sequences and G-quadruplexes in RNA, http://dx.doi.org/10.1101/2025.10.19.683336

Mattick JSA; Bromley RE; Watson KJ; Adkins RS; Holt CI; Lebov JF; Sparklin BC; Tyson TS; Rasko DA; Hotopp JCD, 2024, Deciphering Bacterial and Archaeal Transcriptional Dark Matter and Its Architectural Complexity., http://dx.doi.org/10.1101/2024.04.02.587803

Ersavas T; Smith MA; Mattick JS, 2024, Novel applications of Convolutional Neural Networks in the age of Transformers, http://dx.doi.org/10.21203/rs.3.rs-3868861/v1

Gaonac’h-Lovejoy V; Mattick J; Sauvageau M; Smith M, 2024, ECSfinder: Optimized prediction of evolutionarily conserved RNA secondary structures from genome sequences, http://dx.doi.org/10.1101/2024.09.14.612549

Li X; Zhao Q; Wang Z; Liau W-S; Basic D; Ren H; Marshall PR; Zajaczkowski EL; Leighton LJ; Madugalle SU; Musgrove M; Periyakaruppiah A; Shi J; Zhang J; Mattick JS; Mercer TR; Wei W; Bredy TW, 2021, On the discovery of ADRAM, an experience-dependent long noncoding RNA that drives fear extinction through a direct interaction with the chaperone protein 14-3-3, http://dx.doi.org/10.1101/2021.08.01.454607

Begik O; Diensthuber G; Liu H; Delgado-Tejedor A; Kontur C; Niazi AM; Valen E; Valen E; Giraldez A; Beaudoin J-D; Mattick J; Novoa EM, 2021, Nano3P-seq: transcriptome-wide analysis of gene expression and tail dynamics using end-capture nanopore cDNA sequencing, http://dx.doi.org/10.1101/2021.09.22.461331

Jonkhout N; Cruciani S; Vieira HGS; Tran J; Liu H; Liu G; Pickford R; Kaczorowski D; Franco G; Vauti F; Camacho N; Abedini SS; Najmabadi H; de Pouplana LR; Christ D; Schonrock N; Mattick J; Novoa EM, 2020, Subcellular relocalization and nuclear redistribution of the RNA methyltransferases TRMT1 and TRMT1L upon neuronal activation, http://dx.doi.org/10.1101/2020.10.17.343772

Hardwick SA; Bassett SD; Kaczorowski D; Blackburn J; Barton K; Bartonicek N; Carswell SL; Tilgner HU; Loy C; Halliday G; Mercer TR; Smith MA; Mattick JS, 2019, TARGETED, HIGH-RESOLUTION RNA SEQUENCING OF NON-CODING GENOMIC REGIONS ASSOCIATED WITH NEUROPSYCHIATRIC FUNCTIONS, http://dx.doi.org/10.1101/539882

Liu H; Begik O; Lucas M; Mason C; Schwartz S; Mattick J; Smith M; Novoa EM, 2019, Accurate detection of m6A RNA modifications in native RNA sequences, http://dx.doi.org/10.1101/525741

Pineda SS; Chin YK-Y; Undheim EAB; Senff S; Mobli M; Dauly C; Escoubas P; Nicholson GM; Kaas Q; Mattick JS; King GF, 2018, Structural venomics: evolution of a complex chemical arsenal by massive duplication and neofunctionalization of a single ancestral fold, http://dx.doi.org/10.1101/485722

Hobbs M; Ender C; Baillie GJ; Crawford J; Ru K; Taft RJ; Mattick J, 2018, Transcription initiation RNAs are associated with chromatin activation mark H3K4me3, http://dx.doi.org/10.1101/265827

Novoa EM; Beaudoin J-D; Giraldez AJ; Mattick JS; Kellis M, 2017, Best practices for genome-wide RNA structure analysis: combination of mutational profiles and drop-off information, http://dx.doi.org/10.1101/176883

Deveson I; Brunck M; Blackburn J; Tseng E; Hon T; Clark T; Clark M; Crawford J; Dinger M; Nielsen L; Mattick J; Mercer T, 2017, Universal alternative splicing of noncoding exons, http://dx.doi.org/10.1101/136275

Gagen MJ; Mattick JS, 2005, Accelerating, hyper-accelerating, and decelerating probabilistic networks, http://dx.doi.org/10.48550/arxiv.q-bio/0502013

Gagen MJ; Mattick JS, 2003, Failed "nonaccelerating" models of prokaryote gene regulatory networks, http://dx.doi.org/10.48550/arxiv.q-bio/0312022

Gagen MJ; Mattick JS, 2003, Inherent size constraints on prokaryote gene networks due to "accelerating" growth, http://dx.doi.org/10.48550/arxiv.q-bio/0312021

Croft LJ; Lercher MJ; Gagen MJ; Mattick JS, 2003, Is prokaryotic complexity limited by accelerated growth in regulatory overhead?, http://dx.doi.org/10.48550/arxiv.q-bio/0311021

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