Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Motivation: Next-generation sequencing methods are generating increasingly massive datasets, yet still do not fully capture genetic diversity in the richest environments. To understand such complicated and elusive systems, effective tools are needed to assist with delineating the differences found in and beten community datasets. Results: The Small Subunit Markov Modeler (SSuMMo) was developed to probabilistically assign SSU rRNA gene fragments from any sequence dataset to recognized taxonomic clades, producing consistent, comparable cladograms. Accuracy tests predicted >90% of genera correctly for sequences downloaded from public reference databases. Sequences from a next-generation sequence dataset, sampled from lean, overight and obese individuals, re analysed to demonstrate parallel visualization of comparable datasets. SSuMMo shows potential as a valuable curatorial tool, as numerous incorrect and outdated taxonomic entries and annotations re identified in public databases. Availability and implementation: SSuMMo is GPLv3 open source Python software, available at http://code.google.com/p/ssummo/. Taxonomy and HMM databases can be downloaded from http:// bioltfws1.york.ac.uk/ssummo/. Contact: albl500@york.ac.uk Supplementary information: Supplemental materials are available at Bioinformatics Online.
['Alex L.B. Leach', 'James P.J. Chong', 'Kelly R. Redeker']
I am writing a research paper on a idea SSuMMo: rapid analysis, comparison and visualization of microbial communities.
[{"from": "human", "value": "I am writing a research paper on a idea SSuMMo: rapid analysis, comparison and visualization of microbial communities."}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Motivation: Next-generation sequencing methods are generating increasingly massive datasets, yet still do not fully capture genetic diversity in the richest environments. To understand such complicated and elusive systems, effective tools are needed to assist with delineating the differences found in and beten community datasets. Results: The Small Subunit Markov Modeler (SSuMMo) was developed to probabilistically assign SSU rRNA gene fragments from any sequence dataset to recognized taxonomic clades, producing consistent, comparable cladograms. Accuracy tests predicted >90% of genera correctly for sequences downloaded from public reference databases. Sequences from a next-generation sequence dataset, sampled from lean, overight and obese individuals, re analysed to demonstrate parallel visualization of comparable datasets. SSuMMo shows potential as a valuable curatorial tool, as numerous incorrect and outdated taxonomic entries and annotations re identified in public databases. Availability and implementation: SSuMMo is GPLv3 open source Python software, available at http://code.google.com/p/ssummo/. Taxonomy and HMM databases can be downloaded from http:// bioltfws1.york.ac.uk/ssummo/. Contact: albl500@york.ac.uk Supplementary information: Supplemental materials are available at Bioinformatics Online."}]