The human splicing code reveals new insights into the genetic determinants of disease HY Xiong, B Alipanahi, LJ Lee, H Bretschneider, D Merico, RKC Yuen, ... Science 347 (6218), 1254806, 2015 | 1438 | 2015 |
Convergence of Acquired Mutations and Alternative Splicing of CD19 Enables Resistance to CART-19 Immunotherapy E Sotillo, DM Barrett, KL Black, A Bagashev, D Oldridge, G Wu, ... Cancer discovery 5 (12), 1282-1295, 2015 | 1231 | 2015 |
Deciphering the splicing code Y Barash, JA Calarco, W Gao, Q Pan, X Wang, O Shai, BJ Blencowe, ... Nature 465 (7294), 53-59, 2010 | 1116 | 2010 |
Sfp1 is a stress-and nutrient-sensitive regulator of ribosomal protein gene expression RM Marion, A Regev, E Segal, Y Barash, D Koller, N Friedman, ... Proceedings of the National Academy of Sciences 101 (40), 14315-14322, 2004 | 453 | 2004 |
A new view of transcriptome complexity and regulation through the lens of local splicing variations J Vaquero-Garcia, A Barrera, MR Gazzara, J Gonzalez-Vallinas, ... elife 5, e11752, 2016 | 432 | 2016 |
Modeling dependencies in protein-DNA binding sites Y Barash, G Elidan, N Friedman, T Kaplan Proceedings of the seventh annual international conference on Research in …, 2003 | 320 | 2003 |
Context-specific Bayesian clustering for gene expression data Y Barash, N Friedman Proceedings of the fifth annual international conference on Computational …, 2001 | 197 | 2001 |
From promoter sequence to expression: a probabilistic framework E Segal, Y Barash, I Simon, N Friedman, D Koller Proceedings of the sixth annual international conference on Computational …, 2002 | 159 | 2002 |
Functional coordination of alternative splicing in the mammalian central nervous system M Fagnani, Y Barash, JY Ip, C Misquitta, Q Pan, AL Saltzman, O Shai, ... Genome biology 8, 1-17, 2007 | 132 | 2007 |
Bayesian prediction of tissue-regulated splicing using RNA sequence and cellular context HY Xiong, Y Barash, BJ Frey Bioinformatics 27 (18), 2554-2562, 2011 | 124 | 2011 |
A systematic analysis of intronic sequences downstream of 5′ splice sites reveals a widespread role for U-rich motifs and TIA1/TIAL1 proteins in alternative splicing regulation I Aznarez, Y Barash, O Shai, D He, J Zielenski, LC Tsui, J Parkinson, ... Genome research 18 (8), 1247-1258, 2008 | 112 | 2008 |
Comparative analysis of algorithms for signal quantitation from oligonucleotide microarrays Y Barash, E Dehan, M Krupsky, W Franklin, M Geraci, N Friedman, ... Bioinformatics 20 (6), 839-846, 2004 | 110 | 2004 |
A simple hyper-geometric approach for discovering putative transcription factor binding sites Y Barash, G Bejerano, N Friedman International Workshop on Algorithms in Bioinformatics, 278-293, 2001 | 108 | 2001 |
Retention of CD19 intron 2 contributes to CART-19 resistance in leukemias with subclonal frameshift mutations in CD19 M Asnani, KE Hayer, AS Naqvi, S Zheng, SY Yang, D Oldridge, F Ibrahim, ... Leukemia 34 (4), 1202-1207, 2020 | 84 | 2020 |
Study of thin film poly-crystalline CdTe solar cells presenting high acceptor concentrations achieved by in-situ arsenic doping G Kartopu, O Oklobia, D Turkay, DR Diercks, BP Gorman, V Barrioz, ... Solar Energy Materials and Solar Cells 194, 259-267, 2019 | 80 | 2019 |
Integrative deep models for alternative splicing A Jha, MR Gazzara, Y Barash Bioinformatics 33 (14), i274-i282, 2017 | 75 | 2017 |
Widespread JNK-dependent alternative splicing induces a positive feedback loop through CELF2-mediated regulation of MKK7 during T-cell activation NM Martinez, L Agosto, J Qiu, MJ Mallory, MR Gazzara, Y Barash, X Fu, ... Genes & development 29 (19), 2054-2066, 2015 | 75 | 2015 |
Integrative analysis reveals RNA G-quadruplexes in UTRs are selectively constrained and enriched for functional associations DSM Lee, LR Ghanem, Y Barash Nature communications 11 (1), 527, 2020 | 69 | 2020 |
Mapping RNA splicing variations in clinically accessible and nonaccessible tissues to facilitate Mendelian disease diagnosis using RNA-seq JK Aicher, P Jewell, J Vaquero-Garcia, Y Barash, EJ Bhoj Genetics in Medicine 22 (7), 1181-1190, 2020 | 67 | 2020 |
PRiMeUM: a model for predicting risk of metastasis in uveal melanoma J Vaquero-Garcia, E Lalonde, KG Ewens, J Ebrahimzadeh, ... Investigative ophthalmology & visual science 58 (10), 4096-4105, 2017 | 67 | 2017 |