Sequencing interpretation with different database (note for each database)
In database (look for the answer through chatGPT - incredibly fast but requires validation) https://brb.nci.nih.gov/seqtools/colexpanno.html To predict the function; each bioinformatics tool used different datasets and different machine learning approaches to create the model for the prediction. 1000g -- 1000 genome database -- version 2015aug; All - ethnics, Africa, America, East -- East Asian, Europe, SAS -- South Asian subpopulation ExAC -- Exome Aggregation Consortium ; Africa, America, East Asin, Finland, Non-Finnish European (NFE), OTH (focuses on individuals of "Other" or diverse ancestries. This dataset contains exome sequencing data from over 15,000 individuals from populations such as African, East Asian, Latino, and Native American), South Asian Exome Sequencing Project (ESP); aa (African American ancestry), ea (European American ancestry) gnomAD - genome/exome; All, AFR, AMR, Ashkenazi Jewish (ASJ) ancestry, EAS, FIN, NFE, OTH, SAS Kaviar (Known VARiants) dat...