News and events
- We are looking for a project researcher as part of our multidisciplinary and international team of experts. Possible themes for the project are: 1) Processing and analysis of high-throughput DNA sequencing data or 2) Processing and analysis of high-throughput mass spectrometry proteomics data. Please see the call for applications for Project Researchers for Genomics and Proteomics.
- Academy of Finland awarded Laura Elo 280 450 € research funding a part of the consortium “Immunoregulation and Therapeutic Precision in Rheumatoid Arthritis”. Other partners in the consortium are Satu Mustjoki, Riitta Lahesmaa, Harri Lähdesmäki and Olli
Silvennoinen. The funding is for 2018-2020.
- Members of the Computational Biomedicine group were part of the award winning team in the Prostate Cancer DREAM 9.5 Challenge. After the competition, the seven winning teams decided to collaborate outside the framework of the competition, resulting in refinements that led to a combined model that was more predictive than any of the submissions alone. Please find more information on the web sites of the University of Turku, University of Colorado Cancer Center and Prostate Cancer Foundation.
- Academy of Finland awarded Laura Elo with Academy Research Fellow funding 434 485 €. The funding is for five years, starting in September 2017. The title of the funded project is Tools to translate proteomes to human health and diagnostics. Please see the project description here.
- A survey of best practices for RNA-seq data analysis is among the three most cited articles of 2016 from the open access journal, Genome Biology!
- ‘Briefings in Bioinformatics’ most-downloaded article of 2015 was: “Comparison of software packages for detecting differential expression in RNA-seq studies”. Congratulations Fatemeh Seyednasrollah, Asta Laiho and Laura Elo! The article is freely accessible from:http://www.oxfordjournals.org/…/top-bioscience-articles.html
- Video by our Enlight-TEN scholar Thomas Faux
- Dream ChallengeProstate Cancer DREAM challenge aims to improve the prediction of 1) survival and 2) toxicity of docetaxel treatment in patients with metastatic castration-resistant prostate cancer (mCRPC). Our team, TYTDreamChallenge, was selected as top performer in second question, predicting the early docetaxel discontinuation due to adverse event. In general, treatment discontinuation prediction is a novel and challenging topic in the field of computational biomedicine. The active members of our team included Fatemeh Seyednasrollah and Mehrad Mahmoudian. The whole project was supervised by Dr. Laura Elo in close collaboration with Sirkku Jyrkkiö (MD) and Outi Hirvonen (MD), oncology specialists from Turku University Hospital.
In order to promote interaction between the local bioinformatics community and share information on the latest bioinformatics research, the unit organizes a regular Bioinformatics Journal Club once a month.
– May 23, 2017: Course Introduction to Linux
– May 8-17, 2017: Survival Analysis and Cox Model
– April 24, 2017: RNA-seq data analysis with Chipster course
– April 26, 2016: RNA-seq data analysis with Chipster course
– May 25, 2015: Chipster data-analysis course
– Feb 10, 2015:CBT Bioinformatics Unit introduction
– Feb 3, 2015: Qiagen ngs genomics data analysis workshop
– May 22, 2014: RNA-seq data analysis using Chipster -cours