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- "Freelancing science" is a blog about biology in silico, data visualization and open science. Written by Paweł Szczęsny.
- Contact: pawel at FreelancingScience dot com
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Original content of this site is licensed under a Creative Commons Attribution 3.0 Unported License, unless stated otherwise.
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Shared items- Quantification of mRNA and protein and integration with protein turnover in a bacterium
- 07/20/11 PHD comic: 'Intellectual Freedom'
- [News & Analysis] Psychology: Searching for the Google Effect on People's Memory
- Epigenome-wide association studies for common human diseases
- How to waste public money in one easy step…
- Genome sequence and analysis of the tuber crop potato
- Differential Producibility Analysis (DPA) of Transcriptomic Data with Metabolic Networks: Deconstructing the Metabolic Response of M. tuberculosis.
- Learning: Not Just the Facts, Ma'am, but the Counterfactuals as Well.
- The neural basis of following advice.
- How stands the Tree of Life a century and a half after The Origin?
- GR starred items (not necessarily scientific)
- A Polycomb-based switch underlying quantitative epigenetic memory
- Structural basis for alginate secretion across the bacterial outer membrane.
- A Model of Proto-Anti-Codon RNA Enzymes Requiring L: -Amino Acid Homochirality.
- How accurate is the new Ion Torrent genome, really?
- Day Old News is Fresh Enough
- Bridging the Resolution Gap in Structural Modeling of 3D Genome Organization.
- Does the potential for chaos constrain the embryonic cell-cycle oscillator?
- Sequence, structure, and network evolution of protein phosphorylation.
- Microbial Virulence as an Emergent Property: Consequences and Opportunities
- Discovering Novel Subsystems Using Comparative Genomics
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Wolfram Mathematica 6 – no New Kind of Science (yet)
Not so long ago Animesh Sharma pointed to quite old interview of Steven Wolfram about the book “The New Kind of Science” and asked if concepts concerning a biological framework made their way into Mathematica software.
I’ve just returned from Poland Mathematica Conference, and I can answer that question: no, they didn’t. While there were people using Modelica and Mathematica to model some stochastic processes in cells, Mathematica itself does not provide much of a support for any sophisticated description of biological mechanisms. Implications of concepts from The New Kind of Science book looked very promising – it’s a pity that we are not given tools to verify them ourselves.
Posted by Pawel Szczesny on October 30, 2007 in bioinformatics, Comments, Software
Tags: bioinformatics, mathematica, wolfram