Description
Biologists, biology students, and professionals in related fields generally have little or no contact with computer programming. However, the growing of data in genomic, protein and organism databases can be used to model the solution for some problems, such as the discovery of medicines and insecticides. It leads biologists to benefit from computer programming knowledge, so that they can develop useful applications in molecular biology, ecology, research on diseases, among others. This course was developed with the purpose of introducing biologists, students of biology, biomedicine, ecology, pharmacy and professionals in related areas to programming using Python, which is nowadays one of the most used programming languages. It has a clear syntax and is easy to learn especially if you are a professional who are not familiar with technology. Many tools used in the field of biology were written in Python, which makes it a great option for establishing your first contact with computer programming. You will learn the following topics: Python installation and main tools (IDEs)Variables, constants and stringsMath operationsLogical, relational and conditional operatorsLoops (for and while)FunctionsLists, dictionaries, tuples, sets and arraysManipulation of text filesError and exception handlingRegular expressionsObject orientedAfter learning the basic concepts of Python, you will be able to apply the concepts in exercises, challenges and practical projects related to Biology. Below are some of the case studies that we will implement step by step: Prediction of the mass of a peptide sequence according to its amino acid compositionSchedule a biology test that calculates the grade and whether the user got each question right or wrongCreating classes related to objects in the biological world. fasta gene sequence analysisAnalysis of gene frequencies according to the Hardy-Weinberg TheoremCreating functions for population ecology calculationsDiscover patterns in RNA sequencesEstimation of gene distancesBasic species identificationTroubleshooting gene frequenciesCreating scripts for parsing. pdb-type protein sequence filesTranscription of DNA sequences into RNAThere are more than 80 classes, concepts, code demonstration, and exercises with solutions! More than 30 proposed challenges and 4 small projects applying the concepts learned in each section in a biological context, with step-by-step resolution.
