posted by user: Biotexcel || 1518 views || tracked by 1 users: [display]

NGS Data Analysis 2017 : NGS Data Analysis Workshop - Genomic Medicine 2017 Nordic

FacebookTwitterLinkedInGoogle

Link: https://biotexcel.com/event/genomic-medicine-2017-nordic/#workshop
 
When Nov 7, 2017 - Nov 7, 2017
Where Lund, Sweden
Submission Deadline TBD
Categories    bioinformatics   data analysis   ngs   genomics
 

Call For Papers

The NGS Data Analysis Workshop 2017 in Sweden is led by Genome Diagnostics Nijmegen. It is held on the 7th November at Lund University, Sweden. The course will be useful for people who are not too experienced in data-analysis but have already some knowledge about NGS. The course will start by providing a good overview of the raw sequencing data, an explanation about the formats and how delegates can check the quality of the data. Following on from this and during the NGS Diagnostics interpretation sections delegates will learn how to work with the analyzed data, how they should interpret the data and how to prioritize the variants to look for the interesting ones. At the conclusion of the course, delegates will be asked to solve diagnostic patient cases by searching for the pathogenic variant(s).

Related Resources

ACM SAC 2025   40th ACM/SIGAPP Symposium On Applied Computing
IEIJ 2025   Informatics Engineering, an International Journal
SANER 2026   The 33rd IEEE International Conference on Software Analysis, Evolution and Reengineering
BIEN 2025   8th International Conference on Bioscience & Engineering
CoUDP 2025   2025 International Conference on Urban Design and Planning (CoUDP 2025)
BIBE 2025   The 25th IEEE International Conference on Bioinformatics and Bioengineering
Ei/Scopus-IPCML 2025   2025 International Conference on Image Processing, Communications and Machine Learning (IPCML 2025)
BIOKDD 2025   Data Mining in Bioinformatics
BDML 2025   2025 8th International Conference on Big Data and Machine Learning (BDML 2025)--ESCI
MLDA 2025   4th International Conference on Machine Learning, NLP and Data Mining (MLDA 2025)