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Naslov:BioMiner
Avtorji:ID Selbig, Joachim (Avtor)
ID Gruden, Kristina (Avtor)
ID Or-Guil, Michal (Avtor)
ID Schichor, Christian (Avtor)
ID Bauer, Chris (Avtor)
ID Stec, Karol (Avtor)
ID Glintschert, Alexander (Avtor)
ID Schuchhardt, Johannes (Avtor)
Datoteke:URL URL - Predstavitvena datoteka, za dostop obiščite http://dx.doi.org/10.4137/CIN.S20910
 
.pdf PDF - Predstavitvena datoteka, prenos (3,68 MB)
MD5: 6289D46B14EAADAA5158BE29BB6EBEAA
 
Jezik:Angleški jezik
Tipologija:1.01 - Izvirni znanstveni članek
Organizacija:Logo NIB - Nacionalni inštitut za biologijo
Povzetek:Personalized medicine is promising a revolution for medicine and human biology in the 21st century. The scientific foundation for this revolution is accomplished by analyzing biological high-throughput data sets from genomics, transcriptomics, proteomics, and metabolomics. Currently, access to these data has been limited to either rather simple Web-based tools, which do not grant much insight or analysis by trained specialists, without firsthand involvement of the physician. Here, we present the novel Web-based tool “BioMiner,” which was developed within the scope of an international and interdisciplinary project (SYSTHER†) and gives access to a variety of high-throughput data sets. It provides the user with convenient tools to analyze complex cross-omics data sets and grants enhanced visualization abilities. BioMiner incorporates transcriptomic and cross-omics high-throughput data sets, with a focus on cancer. A public instance of BioMiner along with the database is available at http://systherDB.microdiscovery.de/, login and password: “systher”; a tutorial detailing the usage of BioMiner can be found in the Supplementary File.
Ključne besede:data mining, multiomics data integration, biomarker detection, pathway visualization, personalized medicine, cancer
Status publikacije:Objavljeno
Verzija publikacije:Objavljena publikacija
Datum objave:20.04.2015
Leto izida:2015
Št. strani:str. 55-63
Številčenje:Vol. 14
PID:20.500.12556/DiRROS-5770 Novo okno
ISSN:1176-9351
UDK:575.112
DOI:10.4137/CIN.S20910 Novo okno
COBISS.SI-ID:3428687 Novo okno
Datum objave v DiRROS:26.07.2024
Število ogledov:300
Število prenosov:218
Metapodatki:XML DC-XML DC-RDF
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