Update README

README.md

@@ -27,24 +27,4 @@ _Typical workflow of NGS data analysis_
  ┃ ┗ 📃05_03_Parkinsons_disease<br>
  ┗ ℹ️ README.md
 
-_Handbook's structure_
-
-## 05 16S Amplicon Analysis 🧫
-
-In the [16S amplicon analysis folder](05_16S_amplicon_analysis) there is an introductory guide on conducting analysis using `DADA2` followed by two interesting examples of "real-life" analysis pipeline with the data from studies on Crohn's and Parkinson's diseases.
-
-## 04 Phylogenetics 🌳
-
-In the [Phylogenetics folder](04_Phylogenetics) there is a complete pipeline of simple research in phylogenetics, from working with NCBI (and other databases) to building trees, evaluating them, and getting some worthwhile results.
-
-## 03 Whole Genome and Pangenome Analyses 🧬
-
-In the [Whole (pan)genome analyses](03_Whole_(pan)genome_analyses) there is a pipeline of whole genome and pangenome analyses with `PanACoTA` pipeline which includes genomes filtering with `mash`, annotating with `prokka` & `prodigal`, pangenome building with `mmseqs`, core genomes alignment with `mafft` and finally building phylogenetic tree with `iq-tree`.
-
-## 02 Genomic Variation Analysis 🔬
-
-In the [Genomic Variation Analysis folder](02_Genomic_Variation_Analysis) there is a detailed guide how to conduct studies on Variant Calling using `fastqc`, `trimmomatic`, `bwa`, `samtools`, `abra2`, `bcftools`, `snpEff` & `SnpSift`.
-
-## 01 Quality Control of raw data 💎
-
-In the [Quality Control folder](01_Quality_Control) there is a detailed guide how to conduct quality control of raw data using `fastqc` and `trimmomatic`.
+_Handbook's structure_