text: user12162: I am an undergrad working on a set of genotype matrix of dogs, it's in csv file format with information on only the each sample as rows, chromosome and its position as columns, and the rest of the matrix is filled with 0,1,2 and missing values.
  So I am wondering what would be the best method to impute the genotype with all the data I get? I looked up Impute2, but it seems to require the reference data(recombination map) which I don't have...
  Really appreciate whoever answers my question!!
  
  user492: Impute2 is a great, if dated choice. Another great choice is beagle. The advantage of beagle in this case is that it is not as strict about requiring a recombination map. Without a map, results will be poorer, but perhaps good enough.
  Do make sure that your sample size including a reference panel is at least 200 in any case.
  
original_text: 12162: <p>I am an undergrad working on a set of genotype matrix of dogs, it's in csv file format with information on only the each sample as rows, chromosome and its position as columns, and the rest of the matrix is filled with 0,1,2 and missing values.</p>
  <p>So I am wondering what would be the best method to impute the genotype with all the data I get? I looked up Impute2, but it seems to require the reference data(recombination map) which I don't have...</p>
  <p>Really appreciate whoever answers my question!!</p>
   492: <p>Impute2 is a great, if dated choice. Another great choice is <a href="http://faculty.washington.edu/browning/beagle/beagle.html" rel="nofollow noreferrer">beagle</a>. The advantage of beagle in this case is that it is not as strict about requiring a recombination map. Without a map, results will be poorer, but perhaps good enough.</p>
  <p>Do make sure that your sample size including a reference panel is at least 200 in any case.</p>
  