Online or onsite, instructor-led live Bioinformatics training courses demonstrate through interactive hands-on practice how to use computational tools and techniques to analyze and interpret biological data.
Bioinformatics training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Onsite live Bioinformatics training can be carried out locally on customer premises in Trojmiasto or in NobleProg corporate training centers in Trojmiasto.
NobleProg -- Your Local Training Provider
Gdynia
Hotel Nadmorski, Ejsmonda 2, Gdynia, Poland, 81-409
The training room is located just 3 kilometers from the PKP/PKS Station in Gdynia, making it easily accessible for participants traveling by train or bus. Additionally, it is only 400 meters away from the bus stop, facilitating access even for those using public transportation. It is equipped with necessary training tools such as a projector, screen, and flipchart, providing comfortable conditions for both participants and the trainer.
Gdańsk
Hotel Fahrenheit, Grodzka 19, Gdańsk, Poland, 80-841
The training room is located in the very heart of the picturesque Gdansk Old Town, making the surroundings not only inspiring but also exceptionally attractive for participants. Within close proximity, you can find the railway and bus stations, facilitating arrival for those traveling by both train and bus. Additionally, the airport and port are also within reach, making this location convenient for individuals coming from distant places, both domestically and internationally.
This instructor-led, live training in Trojmiasto (online or onsite) is aimed at advanced-level forensic scientists, geneticists, and anthropologists who wish to apply NGS techniques to forensic investigations.
By the end of this training, participants will be able to:
Understand the principles of NGS and its forensic applications.
Analyze forensic DNA samples using NGS techniques.
Interpret NGS data for human identification and ancestry determination.
Utilize NGS in degraded and complex DNA samples.
Apply bioinformatics tools for forensic genomic analysis.
Understand legal and ethical considerations in forensic genomics.
This is a practical workshop, which will introduce basics of bioinformatics. It is aimed at people with basic biological background and knowledge in molecular biology, who want to learn how to process and work with biological data using computational tools. It has been designed especially for:
Researchers working in experimental laboratories on biological macromolecules proteins, RNA and DNA.
Scientists whose main area of expertise is not biology, but they need to cope with biological data.
Managers introducing new products (e.g. drugs), who want to broaden their knowledge about nowadays bioinformatics.
Computer programmers who are going to write programs dealing with biological molecules.
The course is divided into two parts: theoretical and practical. The lecture is interwoven with simple practical exercises, quizzes and tests to make sure that attendees understand the concepts.
During the training we will take you along a guided tour that covers all the basic aspects of biological data analysis. This workshop is an ideal opportunity to get familiar with bioinformatics and its many faces! At the end, you should be able to tackle any basic bioinformatics problem: you will know where to get the required data from, how to obtain relevant information and how basic software and algorithms work. Our aim is to facilitate your understanding of biological data.
By the end of the course you will be able to work with biological data using bioinformatics tools.
This instructor-led, live training in Trojmiasto (online or onsite) is aimed at biologists who wish to use Biopython.
By the end of this training, participants will be able to:
Integrate biological concepts with information technologies to solve research problems.
Mine information from large datasets of biological origin.
Create algorithms for essential research tasks.
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