genskew

GenSkew, developed by TU Munich, stands at the forefront of science tools in the field of education. This intuitive application, currently in its latest version 1.0, specializes in the computation and plotting of nucleotide skew data. It allows for the determination of both normal and cumulative skew for selected nucleotides within a given sequence. Users can freely define the nucleotide pair for which the skew should be calculated. The skew value is computed using the formula Skew = (nucleotide1 - nucleotide2) / (nucleotide1 + nucleotide2).

This free software divides the genome into sections known as windows. For each window, skew values are calculated and displayed in two graphs—the normal graph shows individual skew values at each sequence position, while the cumulative graph sums these values up to specific points in the sequence. This calculation approach allows for the prediction of replication origins and terminus locations in prokaryotic genomes by identifying the global minimum and maximum values in the cumulative graph, particularly for GC-skew.

While there are no other versions apart from version 1.0, GenSkew brings robust analytical capabilities to genomics, effectively serving educational purposes. One noteworthy benefit is the ability to adjust the stepsize for window shifting, enhancing the precision of results.

Pros:

• Comprehensive skew computation capabilities.
• Visualization through both normal and cumulative graphs.
• Free to download and easy to use for educational purposes.

Cons:

• Limited to nucleotide skew analysis only.
• No advanced versions beyond version 1.0.

GenSkew is a must-have tool for those delving into nucleotide sequence analysis within scientific and educational contexts.

It is not possible to confirm if there is a free download for this software available on the developer's website. We recommend checking the downloaded files with any free antivirus.

You may want to check out more software, such as CAEFEM, Quarter Mile Math Level 1 or Photometric Toolbox32, which might be related to genskew.