Science

My research interests

(Still to be written.)

Generally convenient links

  • Link to Paulsson lab methods on openwetware.
  • Link to Bullet Journal, a way to organize tasks and your calender. (I use a modified version, but the general concept is useful.)
  • Passion Planner offers similar and extended functionality to Bullet Journal.

Journals currently followed at journal club

  • Nature
  • Science
  • Cell
  • PNAS
  • PRL
  • PRE
  • Biophys J
  • Science Signalling
  • MSB Mol Sys Biology
  • Nat Struct& Mol Biology
  • Nature Biotechnology
  • Nature Genetics
  • Nat Cell Biology
  • Nature Methods
  • Cancer Cell
  • PLoS one
  • PLoS Genetics
  • PLoS Biology
  • Current Biology
  • Physical Biology
  • J. Bact.

Journals that are also interesting:

  • Current opinion in microbiology
  • eLife
  • Trends in microbiology
  • Nature Microbiology

Journals without RSS that are interesting

  • MBoC, Molecular Biology of the Cell

Interesting papers

(..) Note to self: also add description

Convenient links

E. coli

General Science

Statistics

Recombinant DNA

Software

  • Python(x,y)
  • gedit
  • Putty (command line ssh accessing remote locations, specifically Ubuntu machines)
  • WinSCP (browsing remote locations, specifically Ubuntu machines)
  • TeXnicCenter, LyX
  • (Windows Powershell)
  • Windows grep
  • Autohotkey
  • Inkscape

Documentation

Other

Personal links

Links with some convenient specific info

Some other convenient sites

  • http://biorxiv.org/
  • http://arxiv.org/

Things to still learn

Bayesian statistics. (Start by this random Google hit?)
Time series analysis. Recommended material by SH: for non linear analysis article Interdisciplinary application of nonlinear time series methods (Schreiber 1998); for linear analysis book Time Series Analysis: Forecasting and Control (Box and Jenkins).
Machine learning. Recommended material by SH: scikit-learn & book Machine learning: a probabilistic perspective (Murphy).
Neural networks. Related to machine learning, also python packages available (e.g. scikit-learn or tensor flow).
Julia. Programming language. Claims best of both C and Python worlds.

Recommendable books

On the shelves:
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