output
19982025
most citedSecond-generation PLINK: rising to the challenge of larger and richer datasets

14.3k citations

Showing q-bio.MNShow all

8 papers · 1 filter

q-bio.MN2020★ 3 cited

Exact Parallelization of the Stochastic Simulation Algorithm for Scalable Simulation of Large Biochemical Networks

Arthur P. Goldberg, David R. Jefferson, John A. P. Sekar +1

Comprehensive simulations of the entire biochemistry of cells have great potential to help physicians treat disease and help engineers design biological machines. But such simulati…

q-bio.MN2016★ 1 cited

Large Collection of Diverse Gene Set Search Queries Recapitulate Known Protein-Protein Interactions and Gene-Gene Functional Associations

Avi Ma'ayan, Neil R. Clark

Popular online enrichment analysis tools from the field of molecular systems biology provide users with the ability to submit their experimental results as gene sets for individual…

q-bio.MN2013★ 85 cited

Dynamic Modeling of the Interaction Between Autophagy and Apoptosis in Mammalian Cells

I. Tavassoly, J. Parmar, A. N. Shajahan-Haq +3

Autophagy is a conserved biological stress response in mammalian cells that is responsible for clearing damaged proteins and organelles from the cytoplasm and recycling their conte…

q-bio.MN2010★ 4 cited

Inferring the Sign of Kinase-Substrate Interactions by Combining Quantitative Phosphoproteomics with a Literature-Based Mammalian Kinome Network

Marylens Hernandez, Alexander Lachmann, Shan Zhao +2

Protein phosphorylation is a reversible post-translational modification commonly used by cell signaling networks to transmit information about the extracellular environment into in…

q-bio.MN2007★ 42 cited

Functions of Bifans in Context of Multiple Regulatory Motifs in Signaling Networks

Azi Lipshtat, Sudarshan P. Purushothaman, Ravi Iyengar +1

Representation of intracellular signaling networks as directed graphs allows for the identification of regulatory motifs. Regulatory motifs are groups of nodes with the same connec…

q-bio.MN2007

Deterministic and Stochastic Simulations of Simple Genetic Circuits

Ofer Biham, Nathalie Q. Balaban, Adiel Loinger +2

We analyze three simple genetic circuits which involve transcriptional regulation and feedback: the autorepressor, the switch and the repressilator, that consist of one, two and th…

q-bio.MN2007

Stochastic Simulations of Genetic Switch Systems

Adiel Loinger, Azi Lipshtat, Nathalie Q. Balaban +1

Genetic switch systems with mutual repression of two transcription factors are studied using deterministic methods (rate equations) and stochastic methods (the master equation and…

q-bio.MN2006★ 191 cited

Genetic Toggle Switch Without Cooperative Binding

Azi Lipshtat, Adiel Loinger, Nathalie Q. Balaban +1

Genetic switch systems with mutual repression of two transcription factors are studied using deterministic and stochastic methods. Numerous studies have concluded that cooperative…