Evaluating amateur bioinformatics results I've might have created a new algorithm for finding patterns in DNA. The technique has not been used before, and it managed to find a 33-mer with corresponding complement that exists both in E. Coli and in Salmonella. I think it's pretty neat but I don't know how to evaluate the results. In addition, I've developed this algorithm after a bioinformatics course where only the DNA sequences of E. Coli and Salmonella were provided, so I would like to test it on other sequences and have it evaluated by people who know what they are doing.

How would one get in contact with the right people for evaluating amateur bioinformatics result?
You need to understand the biological significance of the 33-mer locus. 


I'd blast your 33-mer on NCBI and see what the biological significane is of the locus. If might be a transposon/ promoter region. 
Look at the translation of the protein and if its part of a protein the location within the protein structure.   
Blast the entire locus including 5' and 3' regions of the 33-mer target
Carefully assess the results for chance, e.g. conserved protein and the synonymous mutations just happened to drop out (Poison distribution).


Once you gain a greater understanding, it is likely to have been identified before and what you might contribute is a different method to obtain a known result.

In summary, you need the next level part of the course about translating a genetic correlation into a biological result/ mechanism. This isn't research grade work at present in my opinion.