9th Joint Meeting ISICR-ICS Cytokines & Interferons: From the ...
9th Joint Meeting ISICR-ICS Cytokines & Interferons: From the ...
9th Joint Meeting ISICR-ICS Cytokines & Interferons: From the ...
Create successful ePaper yourself
Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.
WWW<br />
bioDBnet<br />
http://biodbnet.abcc.ncifcrf.gov/<br />
biological DataBase network is an application integrating a<br />
vast number of biological databases including Gene, UniProt,<br />
Ensembl, GO, Affy, RefSeq etc. The databases are created<br />
by downloading data from various public resources. They are<br />
formatted and maintained in a relational structure at <strong>the</strong><br />
Advanced Biomedical Computing Center.<br />
In <strong>the</strong> current release of bioDBnet <strong>the</strong>re are 179 distinct<br />
nodes and 626 edges. Brief notes on what bioDBnet<br />
currently offers<br />
db2db handles all <strong>the</strong> conversions from one database<br />
identifier to ano<strong>the</strong>r.<br />
dbWalk lets you walk through your own bioDBnet path.<br />
dbReport reports every possible information that it can get for<br />
a particular identifier.<br />
dbFind finds <strong>the</strong> type of identifiers and converts all into a<br />
chosen database identifier type<br />
bioDBnet also offers supporting analysis tools to <strong>the</strong> main<br />
functions<br />
orgTaxon for finding <strong>the</strong> taxon ID of an organism<br />
goTree to look at <strong>the</strong> parents of any go accession<br />
chrView for visualising data on chromosomes<br />
bioTaxon for finding genes, proteins or GO accessions based<br />
on search terms<br />
Bioinformatics Video Collection<br />
http://www.abnova.com/abvideo/<br />
Videos to help with techniques and instruments<br />
Clinical Trials Magnifier<br />
http://www.clinicalresearchclinic.com/<br />
The WHO Trials Registry database was downloaded on<br />
September 3, 2010 including a total of 118,331 trials.<br />
The vast majority (n=99,840, 84.4%) of <strong>the</strong> studies are clinical<br />
trials. About one-third of <strong>the</strong> trials registered are industrysponsored<br />
and two-thirds are non-industry sponsored trials.<br />
Twenty percent of all non-industry sponsored trials originate<br />
from trial registries in Australia & New Zealand, UK and<br />
Japan. In contrast, multi-national industry-sponsored trials<br />
are predominantly (96%) registered in <strong>the</strong> US trial registry.<br />
The US trial registry is recommended as <strong>the</strong> registry of<br />
choice for searching for industry-sponsored trials. The US<br />
trial registry also offers <strong>the</strong> user a much more powerful<br />
search engine than <strong>the</strong> WHO Trials Registry.<br />
Gene Trail<br />
http://genetrail.bioinf.uni-sb.de/index.php<br />
We present a comprehensive and efficient gene set analysis<br />
tool, called GeneTrail that offers a rich functionality and is<br />
easy to use. Our web-based application facilitates <strong>the</strong><br />
statistical evaluation of high-throughput genomic or<br />
proteomic data sets with respect to enrichment of functional<br />
categories. GeneTrail covers a wide variety of biological<br />
categories and pathways, among o<strong>the</strong>rs KEGG, TRANSPATH,<br />
TRANSFAC, and GO. Our web server provides two common<br />
statistical approaches, “Over-Representation Analysis” (ORA)<br />
comparing a reference set of genes to a test set, and “Gene<br />
Set Enrichment Analysis” (GSEA) scoring sorted lists of<br />
genes. Besides o<strong>the</strong>r newly developed features, GeneTrail’s<br />
statistics module includes a novel dynamic-programming<br />
algorithm that improves <strong>the</strong> p-value computation of GSEA<br />
methods considerably.<br />
iBioMagazine<br />
http://www.ibiomagazine.org/<br />
iBioMagazine offers a collection of short (