Familiarising students with the contemporary problems in bioinformatics and the computational methods for
\nsolving them. Students should gain an insight into the most prominent algorithms and their
\nimplementations in the form of widely used open-source tools.<\/p>\n
Foundations of cellular mechanisms. Genomes and digital file formats used for storing and manipulating
\ngenetic information. Genome-wide association studies. DNA sequencing technologies. Sequence
\nassembly algorithms, string overlap graphs and De Bruijn graphs. Sequence alignment algorithms. FM
\nindex. Boyer-Moore, Boyer-Moore-Horspool. Smith-Waterman and Needleman-Wunsch algorithms.\u00a0Cancer genomics. RNA sequencing and data analysis.<\/p>\n
Working with standard digital file formats used for storing and manipulating genetic information (BAM,
\nBED, FASTA, FASTQ, VCF) in Linux command line and using Python. Implementing the basic versions
\nof the most common algorithms used in bioinformatics. Using the BWA Aligner tool. Using GATK toolkit
\nfor DNA sequencing data analysis. Using Kalisto tool for RNA sequencing data analysis.<\/p>\n","protected":false},"excerpt":{"rendered":"
Objectives and outcomes Familiarising students with the contemporary problems in bioinformatics and the computational methods for solving them. Students should gain an insight into the most prominent algorithms and their implementations in the form of … Read more<\/a><\/p>\n Read more<\/a>","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[199],"tags":[],"class_list":["post-13995","post","type-post","status-publish","format-standard","hentry","category-subjects"],"acf":[],"yoast_head":"\n