To get started with learning bioinformatics, with mentorship and project experience, visit HackBio Project 4a: Prevalence of resistance genes to selected antibiotics in sepsis across different countries.This project delves into the critical intersection of antibiotic resistance and severe infections such as sepsis. Sepsis, a life-threatening condition, often involves E. coli, a bacteria commonly found in the human gut. This research aims to comprehensively analyze the prevalence of antibiotic resistance genes within E.

To get started with learning bioinformatics, with mentorship and project experience, visit HackBio Project 3: Run a simple NGS analysis pipelineIn this section, you will implement a simple NGS analysis on a simple dataset Starting Datasets: Forward Strand Reverse Strand Reference Genome Proposed Pipeline: Download dataset (wget) => Quality Control (FastQC) => Trimming (FastP) => Genome Mapping (bwa) => Variant Calling (bcftools/freebayes) Feel free to add software as you prefer.

To get started with learning bioinformatics, with mentorship and project experience, visit HackBio Project 1: BASh BasicGoogle Doc File: Stage 1 Task You are to achieve this short story with the command line alone. Create your copy of the file and enter your command in the terminal space ($) below each action. Participants who contributed significantly (slack handle alone): N/B: The story here is fictional and the files are just hypothetical.

Bioinformatics is the science of analyzing and interpreting biological data, such as DNA, RNA and protein sequences, genomic information, and other types of biological data. Majority of your career in bioinformatics will be spent using bioinformatics tools and applying statistical methods to analyze & make sense of complex biological systems data. This data include information about the function of genes, proteins, and metabolic pathways, as well as the interactions between various biological entities.

If you’re just getting into bioinformatics, it can be quite overwhelming. A good way to start is by understanding the basics, then go up from there. This article gives a detailed explanation of bioinformatics basics, its history, research areas and important concepts and terms you should know. What’s bioinformatics? Bioinformatics is a rapidly growing field that combines biology, computer science, and information technology (bioinformatics softwares & tools) to analyze and interpret biological data.

François Pape Diouf Senegal Introduce yourself and tell us where you had your undergraduate studies My name is François Pape Diouf and I’m from Senegal. I graduated in 2021 from Mohammed VI Polytechnic University, Morocco, where I studied Biotechnology and AgroBiosciences. How did you start your journey into Bioinformatics? After my graduation, I decided to go more deep in the field of bioinformatics. My goal is to pursue a Ph.

Whether you are applying to a graduate school or an academic position, you need to include your publication in your CV. This is to show that you are an authority in that field or that you have extensive skills, experience, and knowledge. It also shows that you have good writing and analytical skills and hence boosts your chances of acceptance. Listing publications in CV vs Resume A resume is a snapshot of your education, experience, and skills.

🍎 Simple but powerful secrets that make life easier while coding. Bioinformatics is a game of practice. The more you practice, the better you become at it. The thing with practicing is that you encounter more errors, problems and challenges, but these errors only reinforce your skillsets. You get better at interpreting them and solving them each time they appear, even if its in a different form. The interesting thing about errors is that you will probably still make them even though you are forewarned about it.

Everything BASh in 10 minutes 🧠 This is a straight, hands-on, instruction based tutorial Now that you know how to access the terminal; it is time to learn how to navigate the terminal. Why: For the rest of your career in bioinformatics and data science, you will handle thousands of datasets, files and folders. The terminal gives you superpower to handle this huge data scale. It also helps you to automate your analysis pipelines as you will see later in this course.

The HackBio Genomics internship is here again and it is another opportunity for researchers worldwide to connect for the purpose of learning and career development. A little bit of history: The first edition of the internship happened between August and September, 2020 (about 4 years ago). It was a fast paced, accelerated and project based learning experience. With about 700 students (and 69 finalists; < 10%), we hosted the first edition of the internship successfully with lots of gifts and memories.