gEMiLia - gEnomic Machine Learning. Machine learning algorithms and methods with cloud computing for biological and medical knowledge discovery using precise and integrated representations of genomic data.
2015/17/D/ST6/04063
Keywords
Descriptors
- ST6_13: Bioinformatyka, bioobliczenia, obliczenia DNA i molekularne
- ST6_11: Uczenie maszynowe, statystyczne przetwarzanie danych i zastosowanie w przetwarzaniu sygnałów
Panel
ST6 – Computer science and informatics: informatics and information systems, computer science, scientific computing, intelligent systems
Host institution
Politechnika Poznańska, Wydział Informatyki
Voivodeship: wielkopolskie
Principal investigator (from the host institution)
Number of co-investigators in the project: 3
Call
SONATA 9 – announced on 2015-03-16
- Amount awarded
- 182 500 PLN
- Project start date
- 2016-06-17
- Project end date
- 2019-12-16
- Project duration
- 42 months (the same as in the proposal)
- Project status
- Project settled
Project description
Download the project description in a pdf file
Note — project descriptions were prepared by the authors of the applications themselves and placed in the system in an unchanged form.
Equipment purchased [PL]
- laptop. Cost: 5 500 PLN
Information in the final report
Publication in academic press/journals (2)
-
Genes sharing the protein family domain decrease the performance of classification with RNA-seq genomic signatures
- Authors:
- Anna Leśniewska, Joanna Zyprych-Walczak, Alicja Szabelska-Beręsewicz and Michal J. Okoniewski
- Academic press:
- Biology Direct (year: 2018, volume: 13, pages: 46031), Publisher: BioMed Central
- Status:
- Published
- DOI:
- 10.1186/s13062-018-0205-x – link to the publication
-
SeQuiLa: an elastic, fast and scalable SQL-oriented solution for processing and querying genomic intervals.
- Authors:
- Marek Wiewiórka, Anna Leśniewska, Agnieszka Szmurło, Kacper Stępień, Mateusz Borowiak, Michał Okoniewski, Tomasz Gambin
- Academic press:
- Bioinformatics (year: 2018, volume: -, pages: 2), Publisher: OXFORD UNIVERSITY PRESS
- Status:
- Published
- DOI:
- 10.1093/bioinformatics/bty940 – link to the publication
Articles in post-conference publications (1)
-
Analysis of CAMDA RNA-seq data with the knowledge of protein domains in genes
- Authors:
- Anna Leśniewska, Alicja Szabelska-Beręsewicz, Joanna Zyprych-Walczak, Michał Okoniewski
- Conference:
- 16th Annual International Conference on Critical Assessment of Massive Data Analysis CAMDA2017 (year: 2017, pages: 5), Publisher: CAMDA 2017 Conference
- Date:
- conference 22-23.07.2017
- Status:
- Published