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I'm doing a Bioinformatic project from the university where I got a DB of COGS from Human & Plants Bacteria genomes and I need to find distinguishing sets in this DB and explain the biological reason behind these results. Unfurtinly my Biologi knowledge is very basic and I do not know how to explain the results so maybe someone here could help me.

Here are some of the distinguishing COGs I found and the known info about them:

Results for FreqItem: ['0049', '4465']
IG of FreqItem:  0.6682341035127484
COG_INFO semantic description per each COG in the itemSet if exist:
COG0049;J;INFORMATION STORAGE AND PROCESSING;Translation, ribosomal structure and biogenesis;Ribosomal protein S7;
COG4465;K;INFORMATION STORAGE AND PROCESSING;Transcription;GTP-sensing pleiotropic transcriptional regulator CodY;
Number of occurrences in Human Bacteria genomes: 63
percentage of genomes that carry it in Human Bacteria genomes: 25.0%
Number of occurrences in Plant Bacteria genomes: 4
percentage of genomes that carry it in Plant Bacteria genomes: 5.56%

Results for FreqItem: ['0049', '3833']
IG of FreqItem:  0.6952252521930348
COG_INFO semantic description per each COG in the itemSet if exist:
COG0049;J;INFORMATION STORAGE AND PROCESSING;Translation, ribosomal structure and biogenesis;Ribosomal protein S7;
COG3833;G;METABOLISM;Carbohydrate transport and metabolism;ABC-type maltose transport system, permease component;
Number of occurrences in Human Bacteria genomes: 109
percentage of genomes that carry it in Human Bacteria genomes: 43.25%
Number of occurrences in Plant Bacteria genomes: 8
percentage of genomes that carry it in Plant Bacteria genomes: 11.11%

Results for FreqItem: ['0049', '1847']
IG of FreqItem:  0.7334916442185917
COG_INFO semantic description per each COG in the itemSet if exist:
COG0049;J;INFORMATION STORAGE AND PROCESSING;Translation, ribosomal structure and biogenesis;Ribosomal protein S7;
COG1847;R;POORLY CHARACTERIZED;General function prediction only;Predicted RNA-binding protein Jag, conains KH and R3H domains;
Number of occurrences in Human Bacteria genomes: 122
percentage of genomes that carry it in Human Bacteria genomes: 48.41%
Number of occurrences in Plant Bacteria genomes: 9
percentage of genomes that carry it in Plant Bacteria genomes: 12.5%

Results for FreqItem: ['0049', '1115']
IG of FreqItem:  0.6323046964671385
COG_INFO semantic description per each COG in the itemSet if exist:
COG0049;J;INFORMATION STORAGE AND PROCESSING;Translation, ribosomal structure and biogenesis;Ribosomal protein S7;
COG1115;E;METABOLISM;Amino acid transport and metabolism;Na+/alanine symporter;
Number of occurrences in Human Bacteria genomes: 161
percentage of genomes that carry it in Human Bacteria genomes: 63.89%
Number of occurrences in Plant Bacteria genomes: 15
percentage of genomes that carry it in Plant Bacteria genomes: 20.83%

Results for FreqItem: ['4585']
IG of FreqItem:  0.3643909812004458
COG_INFO semantic description per each COG in the itemSet if exist:
COG4585;T;CELLULAR PROCESSES AND SIGNALING;Signal transduction mechanisms;Signal transduction histidine kinase;
Number of occurrences in Human Bacteria genomes: 118
percentage of genomes that carry it in Human Bacteria genomes: 46.83%
Number of occurrences in Plant Bacteria genomes: 49
percentage of genomes that carry it in Plant Bacteria genomes: 68.06%

Results for FreqItem: ['0049', '1006']
IG of FreqItem:  0.8034282332952798
COG_INFO semantic description per each COG in the itemSet if exist:
COG0049;J;INFORMATION STORAGE AND PROCESSING;Translation, ribosomal structure and biogenesis;Ribosomal protein S7;
COG1006;P;METABOLISM;Inorganic ion transport and metabolism;Multisubunit Na+/H+ antiporter, MnhC subunit;
Number of occurrences in Human Bacteria genomes: 50
percentage of genomes that carry it in Human Bacteria genomes: 19.84%
Number of occurrences in Plant Bacteria genomes: 23
percentage of genomes that carry it in Plant Bacteria genomes: 31.94%

Thank you for your time!

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    $\begingroup$ Bacteria in human and plants are adapted to different life conditions: different food and different environment. E.g., human gut bacteria are more likely to be anaerobic and adapted to processing organic food. So I would search in this direction (disclosure - I am not a biologist either.) $\endgroup$ – Vadim Dec 18 '20 at 10:05
  • $\begingroup$ The Biology.SE community has agreed that questions that show little or no prior research effort are off-topic on this site unless you have shown your attempt at an answer. Please edit your question and tell us where you've looked for answers, what you do know about the topic, and where exactly you still have questions. Unresearched questions may be subject to down-voting and closure. Please see our homework policy for more information. $\endgroup$ – MattDMo Dec 19 '20 at 3:49

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