Python Algorithm To Summarize And Populate A Newpaper Template Designed In Report Lab -- 2

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The inputs to hap.py are two VCF files (a "truth" and a "query" file), the truth file is found here https://www.nature.com/articles/sdata201625/tables/3 which includes extensive genome sequencing for 1 person. So we can validate any VCF file by comparing our VCF with the truth VCF and the outcome will include a table with TP FP TN FN and precision with the sensitivity you can read more about it on this page: https://github.com/RealTimeGenomics/rtg-tools https://github.com/Illumina/hap.py/blob/master/doc/happy.md#working-with-genome-vcfs

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A configurable SRAM compiler written in Python to tile the bit cells and address decoder blocks, extract the Verilog and parasitic RC models, and generate the GDS2 block database. The project should leverage the "openRAM" open source code as much as possible to achieve the above objectives.

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