dc.contributor.author |
Guffanti, A |
en |
dc.contributor.author |
Iacono, M |
en |
dc.contributor.author |
Pelucchi, P |
en |
dc.contributor.author |
Kim, N |
en |
dc.contributor.author |
Soldà, G |
en |
dc.contributor.author |
Croft, LJ |
en |
dc.contributor.author |
Taft, RJ |
en |
dc.contributor.author |
Rizzi, E |
en |
dc.contributor.author |
Askarian Amiri, Effat |
en |
dc.contributor.author |
Bonnal, RJ |
en |
dc.contributor.author |
Callari, M |
en |
dc.contributor.author |
Mignone, F |
en |
dc.contributor.author |
Pesole, G |
en |
dc.contributor.author |
Bertalot, G |
en |
dc.contributor.author |
Bernardi, LR |
en |
dc.contributor.author |
Albertini, A |
en |
dc.contributor.author |
Lee, C |
en |
dc.contributor.author |
Mattick, JS |
en |
dc.contributor.author |
Zucchi, I |
en |
dc.contributor.author |
De Bellis, G |
en |
dc.contributor.editor |
Hoen, PB |
en |
dc.contributor.editor |
Burt, D |
en |
dc.contributor.editor |
Coenye, T |
en |
dc.contributor.editor |
Gojobori, T |
en |
dc.contributor.editor |
Heck, A |
en |
dc.contributor.editor |
Hemby, SE |
en |
dc.contributor.editor |
Iyer, V |
en |
dc.contributor.editor |
Lehrach, H |
en |
dc.contributor.editor |
Lightfoot, D |
en |
dc.contributor.editor |
Oliver, B |
en |
dc.contributor.editor |
Sargent, D |
en |
dc.contributor.editor |
Schalkwyk, L |
en |
dc.contributor.editor |
Su, A |
en |
dc.date.accessioned |
2012-03-08T19:01:52Z |
en |
dc.date.issued |
2009-04-20 |
en |
dc.identifier.citation |
BMC Genomics 10:163 Article number 19379481 20 Apr 2009 |
en |
dc.identifier.issn |
1471-2164 |
en |
dc.identifier.uri |
http://hdl.handle.net/2292/13460 |
en |
dc.description.abstract |
The cancer transcriptome is difficult to explore due to the heterogeneity of quantitative and qualitative changes in gene expression linked to the disease status. An increasing number of "unconventional" transcripts, such as novel isoforms, non-coding RNAs, somatic gene fusions and deletions have been associated with the tumoral state. Massively parallel sequencing techniques provide a framework for exploring the transcriptional complexity inherent to cancer with a limited laboratory and financial effort. We developed a deep sequencing and bioinformatics analysis protocol to investigate the molecular composition of a breast cancer poly(A)+ transcriptome. This method utilizes a cDNA library normalization step to diminish the representation of highly expressed transcripts and biology-oriented bioinformatic analyses to facilitate detection of rare and novel transcripts. |
en |
dc.language |
English |
en |
dc.publisher |
BioMed Central, The Open Access Publisher |
en |
dc.relation.ispartofseries |
BMC Genomics |
en |
dc.rights |
Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher.
Details obtained from http://www.sherpa.ac.uk/romeo/issn/1471-2164/ |
en |
dc.rights.uri |
https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm |
en |
dc.title |
A transcriptional sketch of a primary human breast cancer by 454 deep sequencing. |
en |
dc.type |
Journal Article |
en |
dc.identifier.doi |
10.1186/1471-2164-10-163 |
en |
pubs.begin-page |
163 |
en |
pubs.volume |
10 |
en |
dc.rights.holder |
Copyright: BioMed Central |
en |
dc.identifier.pmid |
19379481 |
en |
dc.rights.accessrights |
http://purl.org/eprint/accessRights/RestrictedAccess |
en |
pubs.subtype |
Article |
en |
pubs.elements-id |
304983 |
en |
pubs.org-id |
Medical and Health Sciences |
en |
pubs.org-id |
Medical Sciences |
en |
pubs.org-id |
Auckland Cancer Research |
en |
dc.identifier.eissn |
1471-2164 |
en |
pubs.number |
19379481 |
en |
pubs.record-created-at-source-date |
2012-02-27 |
en |
pubs.dimensions-id |
19379481 |
en |