| Salmon provides fast and bias-aware quantification of transcript expression R Patro, G Duggal, MI Love, RA Irizarry, C Kingsford Nature methods 14 (4), 417-419, 2017 | 9832 | 2017 |
| Identification of alternative topological domains in chromatin D Filippova, R Patro, G Duggal, C Kingsford Algorithms for Molecular Biology 9, 1-11, 2014 | 251 | 2014 |
| Salmon: accurate, versatile and ultrafast quantification from RNA-seq data using lightweight-alignment R Patro, G Duggal, C Kingsford BioRxiv 10, 021592, 2015 | 178 | 2015 |
| Salmon provides accurate, fast, and bias-aware transcript expression estimates using dual-phase inference R Patro, G Duggal, MI Love, RA Irizarry, C Kingsford BioRxiv, 021592, 2015 | 80 | 2015 |
| Accurate, fast, and model-aware transcript expression quantification with Salmon R Patro, G Duggal, C Kingsford BioRxiv 10, 021592, 2015 | 66 | 2015 |
| Higher-order chromatin domains link eQTLs with the expression of far-away genes G Duggal, H Wang, C Kingsford Nucleic acids research 42 (1), 87-96, 2014 | 61 | 2014 |
| Salmon: fast and bias-aware quantification of transcript expression using dual-phase inference R Patro, G Duggal, MI Love, RA Irizarry, C Kingsford Nature methods 14, 417, 0 | 31 | |
| Interpreting patterns of gene expression: signatures of coregulation, the data processing inequality, and triplet motifs WL Ku, G Duggal, Y Li, M Girvan, E Ott PloS one 7 (2), e31969, 2012 | 21 | 2012 |
| Deconvolution of ensemble chromatin interaction data reveals the latent mixing structures in cell subpopulations E Sefer, G Duggal, C Kingsford Journal of Computational Biology 23 (6), 425-438, 2016 | 20 | 2016 |
| Resolving spatial inconsistencies in chromosome conformation measurements G Duggal, R Patro, E Sefer, H Wang, D Filippova, S Khuller, C Kingsford Algorithms for Molecular Biology 8, 1-10, 2013 | 20 | 2013 |
| Multiscale identification of topological domains in chromatin D Filippova, R Patro, G Duggal, C Kingsford Algorithms in Bioinformatics: 13th International Workshop, WABI 2013, Sophia …, 2013 | 15 | 2013 |
| Topological properties of chromosome conformation graphs reflect spatial proximities within chromatin H Wang, G Duggal, R Patro, M Girvan, S Hannenhalli, C Kingsford Proceedings of the International Conference on Bioinformatics, Computational …, 2013 | 14 | 2013 |
| The missing models: A data-driven approach for learning how networks grow R Patro, G Duggal, E Sefer, H Wang, D Filippova, C Kingsford Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012 | 13 | 2012 |
| Salmon provides accurate, fast, and bias-aware transcript expression estimates using dual-phase inference. bioRxiv, 021592 R Patro, G Duggal, MI Love, RA Irizarry, C Kingsford Publisher Full Text, 2016 | 8 | 2016 |
| Uncovering many views of biological networks using ensembles of near-optimal partitions G Duggal, S Navlakha, M Girvan, C Kingsford Proceedings of the 1st International Workshop on Discovering, Summarizing …, 2010 | 7 | 2010 |
| Graph rigidity reveals well-constrained regions of chromosome conformation embeddings G Duggal, C Kingsford BMC bioinformatics 13, 1-13, 2012 | 3 | 2012 |
| Resolving spatial inconsistencies in chromosome conformation data G Duggal, R Patro, E Sefer, H Wang, D Filippova, S Khuller, C Kingsford Algorithms in Bioinformatics: 12th International Workshop, WABI 2012 …, 2012 | 3 | 2012 |
| Chromovis: Feature-rich layouts of chromosome conformation graphs D Filippova, G Duggal, R Patro, C Kingsford Unpublished manuscript at http://www. cs. cmu. edu/~ dfilippo/projects …, 2013 | 1 | 2013 |
| Algorithms for Identifying Compact Regions of Chromatin and their Relationship to Gene Regulation G Duggal Institute for Advanced Studies, 2014 | | 2014 |
| Graph rigidity reveals non-deformable collections of chromosome conformation constraints G Duggal, C Kingsford | | 2011 |
