Pregled bibliografske jedinice broj: 476291
MADNet: A Web Server for Contextual Analysis and Visualization of High-Throughput Experiments
MADNet: A Web Server for Contextual Analysis and Visualization of High-Throughput Experiments // Systems Biology for Signaling Networks / Choi, Sangdun (ur.).
New York (NY): Springer, 2010. str. 660-672
CROSBI ID: 476291 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
MADNet: A Web Server for Contextual Analysis and Visualization of High-Throughput Experiments
Autori
Šegota, Igor ; Glažar, Petar ; Vlahoviček, Kristian
Vrsta, podvrsta i kategorija rada
Poglavlja u knjigama, znanstveni
Knjiga
Systems Biology for Signaling Networks
Urednik/ci
Choi, Sangdun
Izdavač
Springer
Grad
New York (NY)
Godina
2010
Raspon stranica
660-672
ISBN
978-1-4419-5796-2
Ključne riječi
functional genomics, microarray
(.functional genomics, microarray)
Sažetak
Efficient data integration and visualization represents an important component of any systems biology approach. With large datasets resulting from experiments on a complex biological system it is often impossible to analyze and interpret results one by one – rather, we require tools to help us understand the outcome of our experiment in a broader context and with as much visual information as possible. MADNet, the MicroArray Database Network web server, is a user-friendly data mining and visualization tool with a simple and straightforward interface for rapid analysis of diverse high throughput biological experiment results, such as microarray, phage display or even metagenome analysis. It visually presents experimental results in the context of metabolic and signaling pathways, transcription factors and drug targets through minimal user input, consisting only of the file containing a list of genes and associated expression values. This data is integrated with information extracted from various biological databases such as NCBI nucleotide and protein sequence databanks, metabolic and signaling pathway databases (KEGG), transcription regulation (TRANSFAC©) and drug target database (DrugBank). MADNet is freely available for academic use at http://www.bioinfo.hr/madnet.
Izvorni jezik
Engleski
Znanstvena područja
Biologija, Računarstvo
POVEZANOST RADA
Projekti:
119-0982913-1211 - Računalna genomika mikrobnih okoliša i bioinformatika ekstremofila (Vlahoviček, Kristian, MZOS ) ( CroRIS)
Ustanove:
Prirodoslovno-matematički fakultet, Zagreb
Profili:
Kristian Vlahoviček
(autor)