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21.
Buchka, S.* ; Hapfelmeier, A.* ; Gardner, P.P.* ; Wilson, R. & Boulesteix, A.L.*: On the optimistic performance evaluation of newly introduced bioinformatic methods. Genome Biol. 22:152 (2021)
22.
Cheng, J.* ; Çelik, M.H.* ; Kundaje, A.* & Gagneur, J.: Publisher Correction: MTSplice predicts effects of genetic variants on tissue-specific splicing. Genome Biol. 22:107 (2021)
23.
Cheng, J.* ; Çelik, M.H.* ; Kundaje, A.* & Gagneur, J.: MTSplice predicts effects of genetic variants on tissue-specific splicing. Genome Biol. 22:94 (2021)
24.
Fischer, D.S. et al.: Sfaira accelerates data and model reuse in single cell genomics. Genome Biol. 22:248 (2021)
25.
McCartney, D.L.* et al.: Genome-wide association studies identify 137 genetic loci for DNA methylation biomarkers of aging. Genome Biol. 22:194 (2021)
26.
Witte, F.* et al.: A trans locus causes a ribosomopathy in hypertrophic hearts that affects mRNA translation in a protein length-dependent fashion. Genome Biol. 22:191 (2021)
27.
Zappia, L. & Theis, F.J.: Over 1000 tools reveal trends in the single-cell RNA-seq analysis landscape. Genome Biol. 22:301 (2021)
28.
Hofmeister, B.T.* et al.: A genome assembly and the somatic genetic and epigenetic mutation rate in a wild long-lived perennial Populus trichocarpa. Genome Biol. 21:259 (2020)
29.
Hoser, S.M.* et al.: Intronic tRNAs of mitochondrial origin regulate constitutive and alternative splicing. Genome Biol. 21:299 (2020)
30.
Lähnemann, D.* et al.: Eleven grand challenges in single-cell data science. Genome Biol. 21:31 (2020)
31.
Lloyd, K.C.K.* et al.: The deep genome project. Genome Biol. 21:18 (2020)
32.
Shahryary, Y.* et al.: AlphaBeta: Computational inference of epimutation rates and spectra from high-throughput DNA methylation data in plants. Genome Biol. 21:33023650 (2020)
33.
Ashuach, T.* et al.: MPRAnalyze: Statistical framework for massively parallel reporter assays. Genome Biol. 20:183 (2019)
34.
Hanna, C.W.* et al.: Endogenous retroviral insertions drive non-canonical imprinting in extra-embryonic tissues. Genome Biol. 20:225 (2019)
35.
Monat, C.* et al.: TRITEX: Chromosome-scale sequence assembly of Triticeae genomes with open-source tools. Genome Biol. 20:284 (2019)
36.
Uzbas, F. et al.: BART-Seq: cost-effective massively parallelized targeted sequencing for genomics, transcriptomics, and single-cell analysis. Genome Biol. 20:155 (2019)
37.
Wolf, F.A. et al.: PAGA: Graph abstraction reconciles clustering with trajectory inference through a topology preserving map of single cells. Genome Biol. 20:59 (2019)
38.
Keeble-Gagnère, G.* et al.: Optical and physical mapping with local finishing enables megabase-scale resolution of agronomically important regions in the wheat genome. Genome Biol. 19:112 (2018)
39.
Prins, B.P.* et al.: Exome-chip meta-analysis identifies novel loci associated with cardiac conduction, including ADAMTS6. Genome Biol. 19:87 (2018)
40.
Thind, A.K.* et al.: Chromosome-scale comparative sequence analysis unravels molecular mechanisms of genome dynamics between two wheat cultivars. Genome Biol. 19:104 (2018)
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