Source sink prediction

I have done sanger sequencing for bacteria and fungi. Species identification was done using NCBI-Blast. Now I have abundant data of bacteria from five 5 different sources. Will I be able to calculate source-sink predictions using source tracker. Few examples are available for OTU table but mine is Blast results.

Can anyone help me

My data table will look like the below one

Species Acinetobacter calcoaceticus Acinetobacter junii Acinetobacter pittii Acinetobacter rhizosphaerae Advenella kashmirensis Aeribacillus pallidus Alcaligenes monasteriensis Arthrobacter nicotianae Bacillus anthracis Bacillus arbutinivorans Bacillus aryabhatta Bacillus cibi Bacillus drentensis Bacillus simplex Bacillus krulwichiae
Indoor air 191 77 200 75 69 52 49 64 26 81 304 42 105 224 8
Outdoor air 26 106 87 29 13 128 4 150 17 39 127 45 41 63 59
Soil 18 81 0 58 0 0 0 58 12 6 6 11 3 22 41
Tap water 0 11 0 0 0 0 0 0 0 0 0 0 0 0 0
Surface 0 88 3 13 0 0 27 0 9 0 25 0 12 18 13
well water 106 100 0 0 0 0 0 0 0 0 0 0 0 0 0

Please see the FAQ: What's a reproducible example (`reprex`) and how do I do one? Using a reprex, complete with representative data will attract quicker and more answers.

I could not find an R package for Qiime source tracker, if that is what you are referring to. Could you add some detail of the packages that you are planning to work in?

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Hi,

I am trying to follow this paper

They have used unweighted UniFrac metrics and ANOSIM test