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Michiel J. L. de Hoon
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2020 – today
- 2021
- [j11]Imad Abugessaisa
, Jordan A. Ramilowski
FANTOM enters 20th year: expansion of transcriptomic atlases and functional annotation of non-coding RNAs. Nucleic Acids Res. 49(Database-Issue): D892-D898 (2021)
2010 – 2019
- 2019
- [j10]Marina Lizio, Imad Abugessaisa
Update of the FANTOM web resource: expansion to provide additional transcriptome atlases. Nucleic Acids Res. 47(Database-Issue): D752-D758 (2019) - 2017
- [j9]Trisevgeni Rapakoulia
Genome-scale regression analysis reveals a linear relationship for promoters and enhancers after combinatorial drug treatment. Bioinform. 33(23): 3696-3700 (2017) - 2016
- [j8]Hans Ienasescu, Kang Li, Robin Andersson
On-the-fly selection of cell-specific enhancers, genes, miRNAs and proteins across the human body using SlideBase. Database J. Biol. Databases Curation 2016 (2016) - 2014
- [j7]The Fantom Consortium, RIKEN PMII, RIKEN CLST (DGT), Alistair R. R. Forrest, Hideya Kawaji, Michael Rehli, J. Kenneth Baillie, Michiel J. L. de Hoon, Vanja Haberle, Timo Lassmann, Ivan V. Kulakovskiy, Marina Lizio, Masayoshi Itoh, Robin Andersson, Christopher J. Mungall, Terrence F. Meehan, Sebastian Schmeier, Nicolas Bertin, Mette Jørgensen, Emmanuel Dimont, Erik Arner, Christian Schmidl, Ulf Schaefer, Yulia A. Medvedeva
A promoter-level mammalian expression atlas. Nat. 507(7493): 462-470 (2014) - 2011
- [c7]Yasumasa Kimura, Michiel J. L. de Hoon
Optimization of turn-back primers in isothermal amplification. BIBM Workshops 2011: 909-911
2000 – 2009
- 2009
- [j6]Peter J. A. Cock, Tiago Antao
Biopython: freely available Python tools for computational molecular biology and bioinformatics. Bioinform. 25(11): 1422-1423 (2009) - [j5]Takehiro Hashimoto, Michiel J. L. de Hoon
Probabilistic resolution of multi-mapping reads in massively parallel sequencing data using MuMRescueLite. Bioinform. 25(19): 2613-2614 (2009) - 2008
- [j4]Nicolas Sierro, Yuko Makita, Michiel J. L. de Hoon
DBTBS: a database of transcriptional regulation in Bacillus subtilis containing upstream intergenic conservation information. Nucleic Acids Res. 36(Database-Issue): 93-96 (2008) - 2007
- [j3]Yuko Makita, Michiel J. L. de Hoon
Hon-yaku: a biology-driven Bayesian methodology for identifying translation initiation sites in prokaryotes. BMC Bioinform. 8 (2007) - 2005
- [j2]Michiel J. L. de Hoon, Yuko Makita, Kenta Nakai, Satoru Miyano
Prediction of Transcriptional Terminators in Bacillus subtilis and Related Species. PLoS Comput. Biol. 1(3) (2005) - [c6]Yuko Makita, Michiel J. L. de Hoon, Naotake Ogasawara, Satoru Miyano, Kenta Nakai:
Bayesian Joint Prediction of Associated Transcription Factors in Bacillus subtilis. Pacific Symposium on Biocomputing 2005 - [c5]Michiel J. L. de Hoon, Dennis Vitkup:
Comparative Systems Biology of the Sporulation Initiation Network in Prokaryotes. Systems Biology and Regulatory Genomics 2005: 62-69 - 2004
- [c4]Michiel J. L. de Hoon
Predicting gene regulation by sigma factors in Bacillus subtilis from genome-wide data. ISMB/ECCB (Supplement of Bioinformatics) 2004: 101-108 - [c3]Michiel J. L. de Hoon, Seiya Imoto, Kazuo Kobayashi, Naotake Ogasawara, Satoru Miyano:
Predicting the Operon Structure of Bacillus subtilis Using Operon Length, Intergene Distance, and Gene Expression Information. Pacific Symposium on Biocomputing 2004: 276-287 - 2003
- [c2]Michiel J. L. de Hoon, Seiya Imoto, Kazuo Kobayashi, Naotake Ogasawara, Satoru Miyano:
Inferring Gene Regulatory Networks from Time-Ordered Gene Expression Data of Bacillus Subtilis Using Differential Equations. Pacific Symposium on Biocomputing 2003: 17-28 - 2002
- [j1]Michiel J. L. de Hoon
Statistical analysis of a small set of time-ordered gene expression data using linear splines. Bioinform. 18(11): 1477-1485 (2002) - [c1]Michiel J. L. de Hoon
Inferring Gene Regulatory Networks from Time-Ordered Gene Expression Data Using Differential Equations. Discovery Science 2002: 267-274
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