New Results
Dense encoding of developmental regulatory information may constrain evolvability
View ORCID ProfileTimothy Fuqua, Jeff Jordan, Maria Elize van Breugel, Aliaksandr Halavatyi, Christian Tischer, Peter Polidoro, Namiko Abe, View ORCID ProfileAlbert Tsai, View ORCID ProfileRichard S. Mann, View ORCID ProfileDavid L. Stern, View ORCID ProfileJustin Crocker
doi: https://doi.org/10.1101/2020.04.17.046052
Timothy Fuqua
1European Molecular Biology Laboratory, Heidelberg, Germany
2Collaboration for joint PhD degree between EMBL and Heidelberg University, Faculty of Biosciences
Jeff Jordan
3Janelia Research Campus, 19700 Helix Dr, Ashburn, VA 20147, USA
Maria Elize van Breugel
1European Molecular Biology Laboratory, Heidelberg, Germany
Aliaksandr Halavatyi
1European Molecular Biology Laboratory, Heidelberg, Germany
Christian Tischer
1European Molecular Biology Laboratory, Heidelberg, Germany
Peter Polidoro
3Janelia Research Campus, 19700 Helix Dr, Ashburn, VA 20147, USA
Namiko Abe
4Columbia University, Jerome L. Greene Science Center Quad 9A, MC9891 New York, NY 10027
Albert Tsai
1European Molecular Biology Laboratory, Heidelberg, Germany
Richard S. Mann
4Columbia University, Jerome L. Greene Science Center Quad 9A, MC9891 New York, NY 10027
David L. Stern
3Janelia Research Campus, 19700 Helix Dr, Ashburn, VA 20147, USA
Justin Crocker
1European Molecular Biology Laboratory, Heidelberg, Germany
Article usage
Posted April 18, 2020.
Dense encoding of developmental regulatory information may constrain evolvability
Timothy Fuqua, Jeff Jordan, Maria Elize van Breugel, Aliaksandr Halavatyi, Christian Tischer, Peter Polidoro, Namiko Abe, Albert Tsai, Richard S. Mann, David L. Stern, Justin Crocker
bioRxiv 2020.04.17.046052; doi: https://doi.org/10.1101/2020.04.17.046052
Dense encoding of developmental regulatory information may constrain evolvability
Timothy Fuqua, Jeff Jordan, Maria Elize van Breugel, Aliaksandr Halavatyi, Christian Tischer, Peter Polidoro, Namiko Abe, Albert Tsai, Richard S. Mann, David L. Stern, Justin Crocker
bioRxiv 2020.04.17.046052; doi: https://doi.org/10.1101/2020.04.17.046052
Subject Area
Subject Areas
- Biochemistry (11752)
- Bioengineering (8752)
- Bioinformatics (29200)
- Biophysics (14974)
- Cancer Biology (12096)
- Cell Biology (17411)
- Clinical Trials (138)
- Developmental Biology (9421)
- Ecology (14182)
- Epidemiology (2067)
- Evolutionary Biology (18308)
- Genetics (12245)
- Genomics (16803)
- Immunology (11869)
- Microbiology (28097)
- Molecular Biology (11594)
- Neuroscience (60969)
- Paleontology (451)
- Pathology (1871)
- Pharmacology and Toxicology (3238)
- Physiology (4959)
- Plant Biology (10427)
- Synthetic Biology (2886)
- Systems Biology (7340)
- Zoology (1651)