I want to know about that what should be a correct formate, or way to submit a project report that of a NGS work. what are the basics or the subjects , that should me included, all in all I want know that what should be the best formate to present a project that is entitled as Differential Expression of gene analysis of saccharomyces cerevisiae using RNA sequence data, and the second one is Identification of similar miRNA in wild tomatao under different abiotic stress conditions. Please Provide me A suitable guideline . Will be really very thankful for that.
Without really knowing the background of your project, but with knowledge that you are a grad student and, likely, in an academic setting, structuring "report" as a scientific manuscript in IMRAD format. The "format" is sufficiently general to allow flexibility, but the structure will be easily recognizable to an academic audience. Here are some websites that can be useful in getting started and in writing.
A typical scientific experiment will contain following aspects
A specific and well written and to the point objective. This will essentially have the answer to the question- what made you work on this project.
You can include a summary or abstract mentioning what is already known and what have you tried to find out. What tools , techniques and methods did you employ and what data was used. What were the key findings.
Make necessary tables and figures, may be charts or plots as and where necessary. Conclude from each representation.
I recently had to do a final project for my STAT555 class at PSU. The title of my report was: Reproducible Bioinformatics: RNA-Seq Differential Expression Analysis of West Nile Virus Infection in the Zebra Finch. The way the report was organized is outlined below (this is copied streight from the grading rubric for this class). I believe that a format similar to this would be appropriate for an internal lab report from any graduate level student.
3)Intro: Scientific background and questions to be addressed
4)Data: Data source (i.e. link to lab or GEO accession number or description of data source) and explanation of choice.
5)Methods: First lay out the pipeline that you would like to follow, then you can describe details, detours or dead ends you encountered.
6)Results: What did you learn from the data and how did it address the problem you were trying to solve. This section can be intervened with the Methods section.
7)Discussion: Future work and possibly things you learned from doing the analysis – e.g. there are multiple ways of testing for DE genes and they may lead to conflicting results.
8)Bibliography: references for the data if there is a publicly available document describing the data; the biological problem of interest if there is a background paper; the bioinformatics and statistics methods that are not so common (e.g. moderated t-test in LIMMA).