This website is a project created by a student of the Master’s in Bioinformatics for Health Sciences at Pompeu Fabra University.
It is divided into several sections, covering a variety of topics — some related to bioinformatics, others exploring different areas of interest.
Hello! My name is Marta Pérez, and I was born in Las Palmas de Gran Canaria in May 2002. I've always had a strong passion for biological sciences, and over the years, I discovered my interest in computer science as well. This led me to enroll in the Master’s in Bioinformatics for Health Sciences at Pompeu Fabra University, which allows me to combine both fields.
I also consider myself a very creative person with a deep appreciation for the arts, especially cinema. I love going to the movies, and what I enjoy most is watching a great film.
Academic background
I graduated in Genetics from the Autonomous University of Barcelona. During my studies, I gained valuable knowledge in programming languages such as Python and R, as well as hands-on experience in laboratory work and a strong background in molecular genetics.
In addition, I completed an internship at the Institut de Biotecnologia i Biomedicina (UAB), where I worked on the Human Population Genomics project, focusing on bioinformatics analysis and data processing.
I also participated in the Erasmus program during my undergraduate years, spending six months in Rijeka, Croatia. This experience not only enriched me academically but also enhanced my ability to adapt to new environments and cultures, broadening my overall perspective.
If you want to contact me, suggest any improvements or simply let me know if you liked my website you can do it Contact section. I also have a link to my social medias and
my CV
Thank you very much, see you!
About Movie Recommender section
The goal of this section is to practice designing and managing a database using MySQL, as well as integrating it into a web application with the Flask framework. Through this project, I aim to strengthen my backend development skills while also working on the interaction between databases and web technologies.
Since I wanted to create something both functional and engaging, I decided to focus on one of my biggest interests—cinema. I often find myself spending too much time scrolling into my "Want to watch" list, trying to finally decide one, and I know many people face the same dilemma. That’s why I came up with the idea of developing this Movie Recommender, a simple yet effective tool designed to help users select a movie based on their preferences.
This system leverages a structured database where each movie is categorized by genre and mood, making it easier to filter through options and find the perfect film for any occasion. Whether you're in the mood for a comedy that makes you cry, a drama with a very good aesthetic or a relax gangster movie, this tool aims to make the decision-making process smoother and more enjoyable.
In addition to practicing database implementation, this project also involves working with Flask’s routing system, dynamic content generation, and user interaction, which are essential skills for full-stack web development. It’s a hands-on learning experience that combines technical knowledge with personal passion, making the journey both challenging and rewarding.
About Exercises section
This section features a series of exercises related to Bioinformatics.
1. Clustal App
This application allows for multiple sequence alignments using the Clustal Omega software. Users can input sequences manually in FASTA format, provide UniProt IDs, or upload a file containing the sequences. Additionally, users can choose the output format. The application will perform the alignment and display the result online, with an option to download it.
A group project aimed at providing cancer treatments for specific mutations. The page allows users to upload a VCF file containing patient mutations and select the type of cancer they are affected by. The application searches our database and returns a list of treatments matching the provided mutations and selected cancer type.
