Introduction to your gene/protein

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Introduction to your gene/protein summary of potential role and what is know up to today. summary of questions you are interested. provide a list of identifiers of your gene/protein e.g. Swiss- Prot, EMBL etc.

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Introduction to your gene/protein. summary of potential role and what is know up to today. summary of questions you are interested. provide a list of identifiers of your gene/protein e.g. Swiss-Prot, EMBL etc. Summary part I. - PowerPoint PPT Presentation

Transcript of Introduction to your gene/protein

Page 1: Introduction to your gene/protein

Introduction to your gene/protein

summary of potential role and what is know up to today.

summary of questions you are interested.

provide a list of identifiers of your gene/protein e.g. Swiss-Prot, EMBL etc.

Page 2: Introduction to your gene/protein

Summary part I

provide a summary of the most interesting results found in part I:

“Basic genomic characteristics”.

If you cannot find anything for your gene/protein, because it is totally unknown just say so.

Page 3: Introduction to your gene/protein

Summary part II

provide a summary of the most interesting results found in part II:

“Detailed characterization”.

If you cannot find anything for your gene/protein, because it is totally unknown just say so.

Page 4: Introduction to your gene/protein

Summary part III

provide a summary of the most interesting results found in part III:

“Structural chromosomal variants, expression and protein domains”.

If you cannot find anything for your gene/protein, because it is totally unknown just say so.

Page 5: Introduction to your gene/protein

Summary part IV

provide a summary of the most interesting results found in part IV:

“Functional characterization”.

If you cannot find anything for your gene/protein, because it is totally unknown just say so.

Page 6: Introduction to your gene/protein

Conclusions

Did this 2day “data mining” provide you any new insights?

If yes, what are these?

etc.

Page 7: Introduction to your gene/protein

Conclusions The goal of this study is not an exact estimation of biochemical parameters. The authors rather conclude, that the bimodal signal processing characteristics, and the newly revealed mechanism for specificity in gene expression are not dependent on exact parameter estimates. Exploration of the computational model, provided insights into the physiologically relevant differential functions of heretofore seemingly redundant system components. Their distinct but coordinated regulation in synthesis and degradation allows for a transcriptional response system with signal-processing characteristics that exhibit both rapid signal responsiveness and stable long-term responses