Projects funded by the NCN

Information on the principal investigator and host institution

Information of the project and the call

Keywords

Equipment

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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:

machine learning genomics transcriptomics cloud computing databases

Descriptors:

  • ST6_13: Bioinformatics, biocomputing, DNA and molecular computation
  • ST6_11: Machine learning, statistical data processing and applications using signal processing (e.g. speech, image, video)

Panel:

ST6 - Computer science and informatics: informatics and information systems, computer science, scientific computing, intelligent systems

Host institution :

Politechnika Poznańska, Wydział Informatyki

woj. wielkopolskie

Other projects carried out by the institution 

Principal investigator (from the host institution):

dr Anna Leśniewska 

Number of co-investigators in the project: 3

Call: SONATA 9 - announced on 2015-03-16

Amount awarded: 182 500 PLN

Project start date (Y-m-d): 2016-06-17

Project end date (Y-m-d): 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]

  1. laptop (5 500 PLN)

Information in the final report

  • Publication in academic press/journals (2)
  • Articles in post-conference publications (1)
  1. 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 (rok: 2018, tom: -, strony: 2), Wydawca: OXFORD UNIVERSITY PRESS
    Status:
    Published
    DOI:
    10.1093/bioinformatics/bty940 - link to the publication
  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 (rok: 2018, tom: 13, strony: 45300), Wydawca: BioMed Central
    Status:
    Published
    DOI:
    10.1186/s13062-018-0205-x - link to the publication
  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 (rok: 2017, ), Wydawca: CAMDA 2017 Conference
    Data:
    konferencja 22-23.07.2017
    Status:
    Published

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