IV106 Bionformatics seminar
2022-02-07
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The theme of this semester is deep learning and integrative data analysis. Please join us for the talks below, either in person or using the MSTeams platform. Contact cechova @ fi.muni.cz or lexa @ fi.muni.cz for additional information.
16.2. 4 PM
FI MU
Introduction to the seminar
Intro to the Bioinformatics Student Seminar Series (Students Only)
23.2. 4 PM
Invited Talk
Dr. Sebastian Cristian Treitli
Department of Parasitology, Faculty of Science, Charles University, BIOCEV, Czechia
Write twice, run once. How code implementation can ruin your results.
2.3. 4 PM
Dr. Janka Puterova and Jan Kotrs
Invited Talk
DNAnexus, Czechia
Powering the Genomics Revolution - In the Cloud
9.3. 4 PM
Invited Talk
Dr. Eva Budinska
Integrative bioinformatics and biostatistics, RECETOX, Czechia
Microbiome taxonomy assignment - when 16S rRNA outperforms WMGS metagenomics
16.3. 4 PM
Invited Talk
Dr. Vojtěch Bystrý
Bioinformatics Core Facility, CEITEC MU, Czechia
NGS applications in molecular medicine
23.3. 4 PM
Invited Talk
Dr. Panagiotis Alexiou
Centre for Molecular Medicine, CEITEC MU, Czechia
Using Convolutional Neural Networks and Transformers to model Ago mediated small RNA targeting
30.3. 4 PM
Invited Talk
Dr. Molly Hall
Department of Veterinary and Biomedical Sciences, Penn State, USA
Modeling and analyzing complex relationships in biological big data
6.4. 4 PM
FI MU Journal Club
Michaela Hanajikova: Deng et al. (2022). Rapid and accurate identification of ribosomal RNA sequences via deep learning.
Samuel Šuľan: Guzetta et al. (2010). A machine learning pipeline for quantitative phenotype prediction from genotype data.
Student presentations (Students Only)
13.4. 4 PM
FI MU Journal Club
Student presentations
20.4. 4 PM
No meeting this week.
27.4. 4 PM
FI MU Journal Club.
Marie Kratka: Amato et al. (2020). CORENup: a combination of convolutional and recurrent deep neural networks for nucleosome positioning identification.
David Cechak: Rao et al. 2021. MSA Transformer.
Student presentations (Students Only)
4.5. 4 PM
FI MU Journal Club.
Vlastimil Martinek: Ji et al. (2021). DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome.
Student presentations (Students Only)
11.5. 4 PM
Invited Talk (moved from 20.4.)
Dr. Emmanuelle Lerat
Universite Claude Bernard Lyon 1, CNRS, France
Transposable element annotation and analysis in -omic data
Related Articles:
Authored By MC and ML
Bioinformatics Group at FI MU. This article is licensed under a Creative Commons Attribution 4.0 International License.