Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Better protocols and decreasing costs have made high-throughput sequencing experiments now accessible even to small experimental laboratories. Hover, comparing one or few experiments generated by an individual lab to the vast amount of relevant data freely available in the public domain might be limited due to lack of bioinformatics ex-pertise. Though several tools, including genome browsers, allow such comparison at a single gene level, they do not provide a genome-wide view.  developed Heat*seq, a b-tool that allows genome scale comparison of high throughput experiments (ChIP-seq, RNA-seq and CAGE) provided by a user, to the data in the public domain. Heat*seq currently contains over 12,000 experiments across diverse tissue and cell types in human, mouse and dro-sophila. Heat*seq displays interactive correlation heatmaps, with an ability to dynamically subset datasets to contex-tualise user experiments. High quality figures and tables are produced and can be downloaded in multiple formats. b application: http://www.heatstarseq.roslin.ed.ac.uk/. Source code: https://github.com/gdevailly.
['Guillaume Devailly', 'Anna Mantsoki', 'Anagha Joshi']
I am writing a research paper on a idea Heat*seq: an interactive web tool for high-throughput sequencing experiment comparison with public data
[{"from": "human", "value": "I am writing a research paper on a idea Heat*seq: an interactive web tool for high-throughput sequencing experiment comparison with public data"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Better protocols and decreasing costs have made high-throughput sequencing experiments now accessible even to small experimental laboratories. Hover, comparing one or few experiments generated by an individual lab to the vast amount of relevant data freely available in the public domain might be limited due to lack of bioinformatics ex-pertise. Though several tools, including genome browsers, allow such comparison at a single gene level, they do not provide a genome-wide view.  developed Heat*seq, a b-tool that allows genome scale comparison of high throughput experiments (ChIP-seq, RNA-seq and CAGE) provided by a user, to the data in the public domain. Heat*seq currently contains over 12,000 experiments across diverse tissue and cell types in human, mouse and dro-sophila. Heat*seq displays interactive correlation heatmaps, with an ability to dynamically subset datasets to contex-tualise user experiments. High quality figures and tables are produced and can be downloaded in multiple formats. b application: http://www.heatstarseq.roslin.ed.ac.uk/. Source code: https://github.com/gdevailly."}]