The QC report summarizes the passage, failure, warning, etc. for each item.Basic statisticsBasic statistics contain basic statistical information such as file format, encoding, sequence number, number of poor quality flags in FASTQ, sequence length, and GC ratio.For good data, poor quality sequences are small, uniform sequence length is shown,The overall GC content of the analyzed organism shoul..

There are four ways to quantify drug responses.1. IC50: Half maximal inhibitory concentration2. EC50: Half maximal effective concentration3. GI50: Half maximal growth inhibition concentration4. LD50: Lethal dose 50All four refer to the concentration of a drug that satisfies certain conditions, and the conditions have different meanings. Some view IC50 and GI50 as the same thing, so let's look at..

Key packages and functionsGene expression analysis:DESeq2: Differential expression analysis of RNA-Seq data.EdgeR: Differential gene expression analysis.Gene sequencing:Biostrings: manipulation and analysis of DNA, RNA, and protein sequence data.ShortRead: Next Generation Sequencing (NGS) Data Analysis.Functional interpretation:ClusterProfiler: Gene Ontology (GO) and Pathway Analysis.TopGO: Anal..

Types of Long-Term Injectable DDS:1. Microspheres and Nanoparticles:Mechanism: Biodegradable polymers (e.g., PLGA) encapsulate the drug, gradually releasing it as the polymer degrades.Applications: Hormones (like leuprolide), antipsychotics, and cancer therapies.2. Implants:Mechanism: Small rods or devices are surgically or subcutaneously implanted, slowly releasing drugs.Applications: Contracep..

Transferable Skills and Adaptability in a Changing Business Landscape- The importance of developing transferable skills that can be applied across different jobs and industries.- The dynamic nature of businesses and the need to adapt to changing circumstances.- The book 'Who Moved My Cheese?' as an example of embracing change and adaptability.The Cheese and the Mouse- A mouse happily goes to get..

1. Data type conversion and filteringTransform the data types of columns required for data analysis.For example, POS can be converted to integer and QUAL to float.# Data type conversiondf['POS'] = df['POS'].astype(int)df['QUAL'] = df['QUAL'].astype(float)df['AF'] = df['AF'].apply(lambda x: float(x.split(',')[0]))# Filtering only high-quality variationshigh_quality_variants = df[df['QUAL'] >= 30]..