New Results
Quantifying local malignant adaptation in tissue-specific evolutionary trajectories by harnessing cancer's repeatability at the genetic level
Natsuki Tokutomi, View ORCID ProfileCaroline Moyret-Lalle, View ORCID ProfileAlain PUISIEUX, View ORCID ProfileSumio Sugano, View ORCID ProfilePierre Martinez
doi: https://doi.org/10.1101/401059
Natsuki Tokutomi
Department of Computational Biology and Medical Sciences, University of Tokyo;
Caroline Moyret-Lalle
Cancer Research Centre of Lyon, INSERM 1052, CNRS 5286, Centre Leon Berard
Alain PUISIEUX
Cancer Research Centre of Lyon, INSERM 1052, CNRS 5286, Centre Leon Berard
Sumio Sugano
Department of Computational Biology and Medical Sciences, University of Tokyo;
Pierre Martinez
Cancer Research Centre of Lyon, INSERM 1052, CNRS 5286, Centre Leon Berard

Article usage
Posted September 04, 2018.
Quantifying local malignant adaptation in tissue-specific evolutionary trajectories by harnessing cancer's repeatability at the genetic level
Natsuki Tokutomi, Caroline Moyret-Lalle, Alain PUISIEUX, Sumio Sugano, Pierre Martinez
bioRxiv 401059; doi: https://doi.org/10.1101/401059
Subject Area
Subject Areas
- Biochemistry (1499)
- Bioengineering (952)
- Bioinformatics (6840)
- Biophysics (2435)
- Cancer Biology (1801)
- Cell Biology (2538)
- Clinical Trials (106)
- Developmental Biology (1703)
- Ecology (2585)
- Epidemiology (1498)
- Evolutionary Biology (5040)
- Genetics (3628)
- Genomics (4640)
- Immunology (1180)
- Microbiology (4260)
- Molecular Biology (1629)
- Neuroscience (10838)
- Paleontology (83)
- Pathology (242)
- Physiology (559)
- Plant Biology (1461)
- Synthetic Biology (545)
- Systems Biology (1882)
- Zoology (261)