prikaz prve stranice dokumenta Proširenje funkcionalnosti sustava MADNet s analizom i vizualizacijom vremenski ovisnih pokusa
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master's thesis
Proširenje funkcionalnosti sustava MADNet s analizom i vizualizacijom vremenski ovisnih pokusa
Zagreb: University of Zagreb, Faculty of Science, 2012. urn:nbn:hr:217:065183
Milas, Ivan
University of Zagreb
Faculty of Science
Department of Biology

Institutional repository: Repository of the Faculty of Science

Cite this document

Milas, I. (2012). Proširenje funkcionalnosti sustava MADNet s analizom i vizualizacijom vremenski ovisnih pokusa (Master's thesis). Zagreb: University of Zagreb, Faculty of Science. Retrieved from https://urn.nsk.hr/urn:nbn:hr:217:065183

Milas, Ivan. "Proširenje funkcionalnosti sustava MADNet s analizom i vizualizacijom vremenski ovisnih pokusa." Master's thesis, University of Zagreb, Faculty of Science, 2012. https://urn.nsk.hr/urn:nbn:hr:217:065183

Milas, Ivan. "Proširenje funkcionalnosti sustava MADNet s analizom i vizualizacijom vremenski ovisnih pokusa." Master's thesis, University of Zagreb, Faculty of Science, 2012. https://urn.nsk.hr/urn:nbn:hr:217:065183

Milas, I. (2012). 'Proširenje funkcionalnosti sustava MADNet s analizom i vizualizacijom vremenski ovisnih pokusa', Master's thesis, University of Zagreb, Faculty of Science, accessed 30 March 2025, https://urn.nsk.hr/urn:nbn:hr:217:065183

Milas I. Proširenje funkcionalnosti sustava MADNet s analizom i vizualizacijom vremenski ovisnih pokusa [Master's thesis]. Zagreb: University of Zagreb, Faculty of Science; 2012 [cited 2025 March 30] Available at: https://urn.nsk.hr/urn:nbn:hr:217:065183

I. Milas, "Proširenje funkcionalnosti sustava MADNet s analizom i vizualizacijom vremenski ovisnih pokusa", Master's thesis, University of Zagreb, Faculty of Science, Zagreb, 2012. Available at: https://urn.nsk.hr/urn:nbn:hr:217:065183

Metadata
TitleProširenje funkcionalnosti sustava MADNet s analizom i vizualizacijom vremenski ovisnih pokusa
Title (english)Expanding the MADNet framework with time-series analysis and visualization
AuthorIvan Milas
MentorKristian Vlahoviček (mentor)
Committee memberKristian Vlahoviček (predsjednik povjerenstva)
Committee memberMirjana Kalafatić (član povjerenstva)
Committee memberŽeljka Vidaković-Cifrek (član povjerenstva)
Committee memberDamjan Franjević (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Science
(Department of Biology)
Zagreb
Defense date and country2012-07-10, Croatia
Scientific / art field,
discipline and subdiscipline		NATURAL SCIENCES
Biology
Abstract
U fokusu istraživanja bioinformatike je analiza i prezentacija podataka dobivenih visoko-protočnim metodama kao što su biočipovi. Razlozi su višestruki. Visoko-protočnim metodama dobijemo mnoštvo podataka o prisutnosti, razini ekspresije i međudjelovanju elementa jednog sustava u cjelini (npr. stanice). Analiza pojedinih elemenata tog sustava je vrlo kompleksna te vrlo često nemoguća. Za analizu ovako dobivenih podataka i pridjeljivanje biološkog značenja tim podacima potrebno je znanje... More bioinformatike i statistike. Postojanje mnogih baza podataka koje pohranjuju različite podatke za pojedinačne gene dodatno otežava analizu. Zbog toga je bioinformatička grupa PMF-a razvila alat MADNet koji od korisnika ne zahtjeva znanje bioinformatike i statistike te mu prezentira rezultate na vizualno jednostavan način. MADNet integrira informacije pohranjene u različitim bazama podataka: NCBI, KEGG, TRANSFAC, DrugBank i EBI IntAct. Ovim istraživanjem, funkcionalnost MADNet-a je dodatno proširena analizom vremenski ovisnih pokusa, što može biti primijenjeno i na način da se odjednom učitaju podaci više tretiranih uzoraka. Na ovaj način korisnik može za svaki vremenski trenutak ili usporedni eksperiment, za svaki pojedini gen od interesa, usporediti njegovu ekspresiju na metaboličkim putovima ili grafovima interakcije, ali i promjenu ekspresije drugih gena povezanih s genom od interesa na istom metaboličkom putu. Less
Abstract (english)
The analysis and presentation of data obtained through high-throughput methods such as microarrays are the focus of bioinformatics. The reasons are multiple. The high-throughput methods produce a lot of information about the presence, level of expression and interaction of elements of biological system as a whole (e.g. cells). Analysis of individual elements of this system is very complex and often impossible. To analyse this data and assign biological meaning to these data one has to... More possess knowledge of bioinformatics and statistics. The existence of many databases that store different data for individual genes further complicates the analysis. Therefore, our bioinformatics group has developed MADNet, a tool which presents experimental results in a visually simple manner and does not require in-depth knowledge of bioinformatics and statistics. MADNet integrates information from various databases: NCBI, KEGG, TRANSFAC, DrugBank and EBI IntAct. This work additionally expanded MADNet's functionality with time-series analysis. Now, for each gene of interest, one can make track and compare changes in expression across same pathway over course of time, as well as changes that occur in expression of other genes connected to the gene of interest. Less
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:217:065183
Study programmeTitle: Molecular Biology
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra molekularne biologije (magistar/magistra molekularne biologije)
Type of resourceText
File originBorn digital
Access conditionsAccess restricted to students and staff of home institution
Terms of useLicence In copyright icon
Created on2017-05-02 09:50:52
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