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# Data analysis tools
The first step is to collect the mutants and create a mutant library either in solid or liquid media. Solid media could be better because it could save lots of time. At Early stage, mutant creation was done by homologous recombination method. We have an excellent mutant library for Saccharomyces cerevisiae, a well-studied model organism. ▼
▲The first step is to collect the mutants and create a
However, if you are trying for new, yeast model, you could have to either a genome sequencing and can predict the possible ORF by the good reference yeast genome(For example: with Saccharomyces cerevisiae). Consider a special case: If you don’t have a reference genome, you should go for transcriptome and genome analysis of that new model organism.<br />▼
▲However, if you are trying for new, yeast model, you could have to either a genome sequencing and can predict the possible ORF by the good reference yeast genome(For example: with Saccharomyces cerevisiae). Consider a special case: If you don’t have a reference genome, you should go for [[Transcriptomics technologies|transcriptome]] and genome analysis of that new model organism.
* Material and tools for handling the mutants<br />Once you have your mutant library in solid media. If mutants are in solid media, we have arranged the mutants with 1:3 ration, i.e. for one wild type to 3 mutants array(why? Wild type works as an internal control and in a solid media nutrient should not be shared equally for avoiding bias). Once you have single gene deleted mutants, you can start the tools for handling the mutants. In SGA it is referred to as “ Pinning”. ROTOR-HAD version used for pinning the yeast mutants. This machine installed with a user-friendly interface which helps to pin the samples from sources plates to experimental plates
Once you have your mutant library
#Image analysis system
# Automatic quantification and scoring system
# Confirmation approaches
# Data analysis tools
=== Mutant collection ===
==See also==
*[[Tetrad (genetics)]]
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