Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Summary: Analyzing the functional profile of a microbial community from unannotated shotgun sequencing reads is one of the important goals in metagenomics. Functional profiling has valuable applications in biological research because it identifies the abundances of the functional genes of the organisms present in the original sample, ansring the question what they can do. Currently, available tools do not scale ll with increasing data volumes, which is important because both the number and lengths of the reads produced by sequencing platforms keep increasing. Here,  introduce SUPER-FOCUS, SUbsystems Profile by databasE Reduction using FOCUS, an agile homology-based approach using a reduced reference database to report the subsystems present in metagenomic datasets and profile their abundances. SUPER-FOCUS was tested with over 70 real metagenomes, the results showing that it accurately predicts the subsystems present in the profiled microbial communities, and is up to 1000 times faster than other tools. Availability and implementation: SUPER-FOCUS was implemented in Python, and its source code and the tool bsite are freely available at https://edwards.sdsu.edu/SUPERFOCUS. Contact: redwards@mail.sdsu.edu Supplementary information: Supplementary data are available at Bioinformatics online.
['Genivaldo Gueiros Z. Silva', 'Kevin T. Green', 'Bas E. Dutilh', 'Robert A. Edwards']
I am writing a research paper on a idea SUPER-FOCUS: a tool for agile functional analysis of shotgun metagenomic data.
[{"from": "human", "value": "I am writing a research paper on a idea SUPER-FOCUS: a tool for agile functional analysis of shotgun metagenomic data."}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Summary: Analyzing the functional profile of a microbial community from unannotated shotgun sequencing reads is one of the important goals in metagenomics. Functional profiling has valuable applications in biological research because it identifies the abundances of the functional genes of the organisms present in the original sample, ansring the question what they can do. Currently, available tools do not scale ll with increasing data volumes, which is important because both the number and lengths of the reads produced by sequencing platforms keep increasing. Here,  introduce SUPER-FOCUS, SUbsystems Profile by databasE Reduction using FOCUS, an agile homology-based approach using a reduced reference database to report the subsystems present in metagenomic datasets and profile their abundances. SUPER-FOCUS was tested with over 70 real metagenomes, the results showing that it accurately predicts the subsystems present in the profiled microbial communities, and is up to 1000 times faster than other tools. Availability and implementation: SUPER-FOCUS was implemented in Python, and its source code and the tool bsite are freely available at https://edwards.sdsu.edu/SUPERFOCUS. Contact: redwards@mail.sdsu.edu Supplementary information: Supplementary data are available at Bioinformatics online."}]