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. Kansas onsite live Bioinformatics trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
KS, Overland Park - Commerce Plaza
7300 West 110th Street, Commerce Plaza I, Overland Park, United States, 66210
The office in Commerce Plaza is in the heart of Overland Park, which is frequently listed as one of the best places to live and work in America. Overland Park is a nationally recognized city and has a thriving economy. It is positioned in the premier office corridor of College Boulevard in Johnson County, which has experienced rapid economic growth and is a nationally-recognized center of excellence. The office is also near the Sprint Campus in a gleaming high-rise building that's landscaped with trees. It's also well served for hotels within five minutes' walking distance, shopping malls and restaurants.
NE, Omaha - Landmark Center
1299 Farnam Street Suite 300, Omaha, United States, 68102
The venue is located on the corner of S 13th St and Famam St, with a beautiful view at American Park and just across the street from the Nebraska State Office Building.
OK, Oklahoma City - Park Avenue
101 Park Ave #1300, Oklahoma City, united states, 73102
The venue is located in the same building as Rolex and BC Clark Jewelers, just opposite of Kerr Park and the Air Force Monument.
This instructor-led, live training in Kansas (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 Kansas (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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