Nicholas F. Lahens, Ph.D.
Affiliations: | Genomics and Computational Biology | University of Pennsylvania, Philadelphia, PA, United States |
Area:
Circadian Rhythms, Functional GenomicsGoogle:
"Nicholas Lahens"Mean distance: 18.75 (cluster 32)
Parents
Sign in to add mentorJohn B. Hogenesch | grad student | 2011-2014 | University of Pennsylvania Perelman School of Medicine | |
(The application and challenges of RNA-sequencing to the study of circadian rhythms.) |
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Publications
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Brooks TG, Lahens NF, Mrčela A, et al. (2023) BEERS2: RNA-Seq simulation through high fidelity modeling. Biorxiv : the Preprint Server For Biology |
Vaquero-Garcia J, Aicher JK, Jewell S, et al. (2023) RNA splicing analysis using heterogeneous and large RNA-seq datasets. Nature Communications. 14: 1230 |
Lahens NF, Brooks TG, Sarantopoulou D, et al. (2021) CAMPAREE: a robust and configurable RNA expression simulator. Bmc Genomics. 22: 692 |
Slaff B, Radens CM, Jewell P, et al. (2021) MOCCASIN: a method for correcting for known and unknown confounders in RNA splicing analysis. Nature Communications. 12: 3353 |
Sarantopoulou D, Brooks TG, Nayak S, et al. (2021) Comparative evaluation of full-length isoform quantification from RNA-Seq. Bmc Bioinformatics. 22: 266 |
Lee Y, Fong SY, Shon J, et al. (2021) Time-of-day specificity of anticancer drugs may be mediated by circadian regulation of the cell cycle. Science Advances. 7 |
Sarantopoulou D, Tang SY, Ricciotti E, et al. (2019) Comparative evaluation of RNA-Seq library preparation methods for strand-specificity and low input. Scientific Reports. 9: 13477 |
Lee Y, Lahens NF, Zhang S, et al. (2019) G1/S cell cycle regulators mediate effects of circadian dysregulation on tumor growth and provide targets for timed anticancer treatment. Plos Biology. 17: e3000228 |
Terry EE, Zhang X, Hoffmann C, et al. (2018) Transcriptional profiling reveals extraordinary diversity among skeletal muscle tissues. Elife. 7 |
Terry EE, Zhang X, Hoffmann C, et al. (2018) Author response: Transcriptional profiling reveals extraordinary diversity among skeletal muscle tissues Elife |