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Faculty of MedicineApplication for Admission into MBBS Program for August 2019 Applicant\'s surname: ___first names: ___ B.Sc./levels: ___student no.: ___I. PERSONAL DATA___Title/ Prefix: Mr/Mrs/Miss/Ms/Other:___
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How to fill out differential transcriptomic changes in

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Step 1: Start by obtaining the raw transcriptomic data from your experiment.
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Step 2: Preprocess the raw data to remove any noise or artifacts.
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Step 3: Normalize the data to account for differences in sequencing depth and other technical factors.
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Step 4: Perform statistical analysis to identify differentially expressed genes between two or more conditions.
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Step 5: Apply appropriate statistical tests, such as t-tests or ANOVA, to determine significance.
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Step 6: Adjust for multiple testing using methods like Bonferroni or false discovery rate (FDR) correction.
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Step 7: Interpret the results by examining fold changes and p-values of differentially expressed genes.
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Step 8: Conduct functional enrichment analysis to identify pathways or gene ontology terms associated with the differential transcriptomic changes.
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Step 9: Validate the findings using independent experimental methods like qPCR or Western blotting.
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Step 10: Communicate and visualize the results effectively using appropriate data visualization tools.

Who needs differential transcriptomic changes in?

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Researchers studying gene expression patterns and regulatory mechanisms.
02
Biologists interested in understanding molecular changes in different conditions or diseases.
03
Pharmaceutical companies developing drugs and therapies.
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Bioinformaticians and computational biologists analyzing large-scale transcriptomic datasets.
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Medical professionals involved in precision medicine and diagnostics.
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Geneticists investigating the genetic basis of diseases.

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Differential transcriptomic changes refer to the differences in gene expression between different conditions or groups.
Researchers conducting transcriptomic studies are required to file differential transcriptomic changes.
Differential transcriptomic changes can be filled out by analyzing gene expression data and identifying significant differences between samples.
The purpose of analyzing differential transcriptomic changes is to understand the molecular mechanisms underlying biological processes or diseases.
The report on differential transcriptomic changes should include the list of genes with significant expression changes, fold changes, p-values, and any relevant biological pathways.
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