Results 21 to 30 of about 7,995,512 (394)

A Molecular Biology Database Digest [PDF]

, 2000
Computational Biology or Bioinformatics has been defined as the application of mathematical and Computer Science methods to solving problems in Molecular Biology that require large scale data, computation, and analysis [18].
Bry, François, Kröger, Peer
core   +2 more sources

Biopython: freely available Python tools for computational molecular biology and bioinformatics

Bioinform., 2009
Summary: The Biopython project is a mature open source international collaboration of volunteer developers, providing Python libraries for a wide range of bioinformatics problems. Biopython includes modules for reading and writing different sequence file
P. Cock, T. Antão, Jeffrey T. Chang, Brad A. Chapman, C. Cox, A. Dalke, Iddo Friedberg, T. Hamelryck, F. Kauff, B. Wilczyński, Michiel J. L. de Hoon   +10 more
semanticscholar   +1 more source

Molecular biology on a microfluidic chip [PDF]

, 2006
We have developed microfluidic chips for automating molecular biology processes such as gene ligation and gene transformation from nanolitre sample volumes with parallel architecture. Unlike conventional tube methods with cumbersome pipetting procedures,
Anderson, W. French, Chen, Yan, Hong, Jong Wook, Quake, Stephen R.   +3 more
core   +1 more source

Molecular Biology of the Cell

Color Atlas of Clinical Hematology, 1990
Much of the research in the Pringle laboratory exploits the power of yeast as an experimentally tractable model eukaryote to investigate fundamental problems in cell and developmental biology such as the mechanisms of cell polarization and cytokinesis ...
S. Dolomatov, E. Ageeva, Walery Zukow
semanticscholar   +1 more source

Rhabdomyosarcoma: Advances in Molecular and Cellular Biology. [PDF]

, 2015
Rhabdomyosarcoma (RMS) is the most common soft tissue malignancy in childhood and adolescence. The two major histological subtypes of RMS are alveolar RMS, driven by the fusion protein PAX3-FKHR or PAX7-FKHR, and embryonic RMS, which is usually ...
Duan, Zhenfeng, Guo, Wei, Hornicek, Francis J, Mankin, Henry J, Shen, Jacson K, Sun, Xin   +5 more
core   +3 more sources

Independent transcriptomic and proteomic regulation by type I and II protein arginine methyltransferases

iScience, 2021
Summary: Protein arginine methyltransferases (PRMTs) catalyze the post-translational monomethylation (Rme1), asymmetric (Rme2a), or symmetric (Rme2s) dimethylation of arginine. To determine the cellular consequences of type I (Rme2a) and II (Rme2s) PRMTs,
Maxim I. Maron, Stephanie M. Lehman, Sitaram Gayatri, Joseph D. DeAngelo, Subray Hegde, Benjamin M. Lorton, Yan Sun, Dina L. Bai, Simone Sidoli, Varun Gupta, Matthew R. Marunde, James R. Bone, Zu-Wen Sun, Mark T. Bedford, Jeffrey Shabanowitz, Hongshan Chen, Donald F. Hunt, David Shechter   +17 more
doaj   +1 more source

Molecular Biology

Revista do Instituto de Medicina Tropical de São Paulo, 2003
doaj   +3 more sources

Premise and peril of Wnt signaling activation through GSK-3β inhibition

iScience, 2022
Summary: Wnt signaling pathways have been extensively studied in the context of several diseases, including cancer, coronary artery disease, and age-related disorders.
Samuel M. Law, Jie J. Zheng
doaj   +1 more source

Regulatory Molecular Biology [PDF]

Cell Cycle, 2006
Close regulations of molecular biological processes are essential for life. Defective controls cause diseases such as cancer and neurological malfunctions. We now are provided with a plethora of regulatory mechanisms exerted at many levels. Prominent are covalent protein modifications, non-covalent feedback inhibition that modifies enzyme activity, and
openaire   +2 more sources

Natural history of Arabidopsis thaliana and oomycete symbioses [PDF]

, 2008
Molecular ecology of plant–microbe interactions has immediate significance for filling a gap in knowledge between the laboratory discipline of molecular biology and the largely theoretical discipline of evolutionary ecology.
A. Falk, A. H. Ellingboe, A. H. Ellingboe, A. J. Slusarenko, A. P. Rehmany, A. P. Rehmany, A. Riethmüller, A. Roetschi, Arabidopsis Genome Initiative, B. F. Holt, B. M. Tyler, C. Azevedo, C. D. Preston, C. Damgaard, D. Jirage, E. B. Holub, E. B. Holub, E. B. Holub, E. B. Holub, E. B. Holub, E. B. Holub, E. B. Holub, E. B. Holub, E. G. Bakker, E. Gäumann, E. Koch, E. O. Wilson, E. Speulman, Eric B. Holub, G. Lindau, H. Jönsson, H. Takahashi, H. Voglmayr, H.-M. Chou, J. E. Parker, J. E. Parker, J. Glazebrook, J. Glazebrook, J. M. McDowell, J. M. McDowell, J. N. Thompson, J. N. Thompson, J. N. Thompson, J. O. Borevitz, J. Silvertown, J. Song, J. Staal, J. Win, K. A. Shen, K. Century, K. Kazan, K. Lawton, K. S. Century, K. S. Thompson, L. E. Rose, M. A. Botella, M. A. Botella, M. B. Cooley, M. Damme Van, M. G. M. Aarts, M. Göker, M. H. Borhan, M. H. Borhan, M. J. Austin, M. Tör, N. Aarts, N. Gunn, O. Constantinescu, P. Ayers, P. D. Bittner-Eddy, P. Prusinkiewicz, P. R. Muskett, P. Tornero, Q. H. Shen, R. F. Warren, R. F. Warren, R. Gomulkiewicz, R. L. Allen, R. M. Clark, S. Kamoun, S. McCouch, S. R. Grant, S. Segal, T. Eulgem, T. Eulgem, T. Mitchell-Olds, W. Gassmann, X. Tang   +87 more
core   +2 more sources