CI Micro v2.1 – Analyzing Time-lapse Experiments of Cell Migration, Invasion and Wound Healing assays

CI Micro v2.1

:: DESCRIPTION

CI Micro was developed primary for quickly analyzing time-lapse experiments of cell migration, invasion and wound healing assays. Time-lapse experiments saved in Leica’s LIF or (auto-saved) XLEF files can be opened with no delay in loading time. Interactive measurements can be done by the area or counting tool and are save together with experimental data. Extra options are Movie Export, 3D features and support for TIFF files.

::DEVELOPER

the Cellular Imaging Core Facility

:: SCREENSHOTS

:: REQUIREMENTS

  • Windows
  •  .NET Framework 4.6.1 or higher

:: DOWNLOAD

CI Micro

:: MORE INFORMATION

3PD – Primer design for Chromosome Conformation Capture Assays

3PD

:: DESCRIPTION

3PD is a bioinformatics solution  to support the experimentalist in detecting long-ranging intra or inter chromosomal contacts by Chromosome conformation capture (3C) assays.

::DEVELOPER

Dieterich lab

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Web Browser

:: DOWNLOAD

 NO

:: MORE INFORMATION

Citation

BMC Genomics. 2009 Dec 29;10:635. doi: 10.1186/1471-2164-10-635.
3PD: Rapid design of optimal primers for chromosome conformation capture assays.
Fröhler S, Dieterich C.

bz-rates – Calculate Mutation Rates from Fluctuation Assays

bz-rates

:: DESCRIPTION

bz-rates is a web-tool that allows to compute mutation rates from fluctuation assays.

::DEVELOPER

Laboratory of Computational and Quantitative Biology (LCQB)

:: SCREENSHOTS

N/a

:: REQUIREMENTS

  • Web browser

:: DOWNLOAD

 NO

:: MORE INFORMATION

Citation

bz-rates: A Web Tool to Estimate Mutation Rates from Fluctuation Analysis.
Gillet-Markowska A, Louvel G, Fischer G.
G3 (Bethesda). 2015 Sep 2. pii: g3.115.019836. doi: 10.1534/g3.115.019836.

HTSeq 0.13.5 – Process and Analyze data from High-throughput Sequencing (HTS) Assays

HTSeq 0.13.5

:: DESCRIPTION

HTSeq is a Python package that provides infrastructure to process data from high-throughput sequencing assays.

::DEVELOPER

Huber Group

:: SCREENSHOTS

N/A

:: REQUIREMENTS

:: DOWNLOAD

 HTSeq

:: MORE INFORMATION

Citation

HTSeq–a Python framework to work with high-throughput sequencing data.
Anders S, Pyl PT, Huber W.
Bioinformatics. 2015 Jan 15;31(2):166-9. doi: 10.1093/bioinformatics/btu638.