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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier6qtX3pFwXQZG2LgkFdY/UNuEH
Repositorysid.inpe.br/sibgrapi@80/2008/07.19.00.24
Last Update2008:07.19.00.24.12 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi@80/2008/07.19.00.24.13
Metadata Last Update2022:06.14.00.13.49 (UTC) administrator
DOI10.1109/SIBGRAPI.2008.42
Citation KeyLlerenaMaci:2008:ExViRF
TitleExploratory visualization of RFLP-PCR genomic data using Multidimensional Scaling
FormatPrinted, On-line.
Year2008
Access Date2024, Apr. 29
Number of Files1
Size431 KiB
2. Context
Author1 Llerena, Soledad espezua
2 Maciel, Carlos Dias
Affiliation1 student
2 professor
EditorJung, Cláudio Rosito
Walter, Marcelo
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 21 (SIBGRAPI)
Conference LocationCampo Grande, MS, Brazil
Date12-15 Oct. 2008
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2008-07-19 00:24:13 :: sespezua@sel.eesc.usp.br -> administrator ::
2009-08-13 20:38:59 :: administrator -> sespezua@sel.eesc.usp.br ::
2010-08-28 20:03:23 :: sespezua@sel.eesc.usp.br -> administrator ::
2022-06-14 00:13:49 :: administrator -> :: 2008
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
Keywordsdata visualization
multidimensional scaling
LMDS
dimensional reduction
RFLP-PCR
AbstractGel electrophoresis images are common results of biomolecular techniques such as RFLP-PCR (Restriction Fragment Length Polymorphism - Polymerase Chain Reaction). These images are used to discover the genetic relations between organisms. Find patterns in these images are a complex and delayed work if it is performed by humans. Traditionally, the analysis of gel electrophoresis images has been done by biologist using dendrogram representations aiming to capture the relations between organisms in a hierarchical organization. However this representation may be hard to analyze, especially when the information becomes large. This highlights the need to seek new ways of representing this type of data that become more intuitive. One of that methods is MDS (Multidimensional Scaling) which is a method used to transform measurements of similarity (or dissimilarity) between pairs of objects into points in a low-dimensional space, allowing visualize the data in a form that makes it easier to interpret. This paper proposes a new procedure to represent RFLP-PCR images as points in a low-dimensional space, based in a MDS technique. The procedure was applied in a genomic dataset obtained from a Brazilian collection of N2-fixing bacterial strains belonging to the genus Bradyrhizobium. The results showed the efficacy of the procedure to represent the RFLP-PCR images, facilitating the identification of patterns in a more intuitive way than dendrogram's representations. Also, our procedure allows an appropriate integration with a pattern-recognition algorithm, taking advantages of the visual human skills and the computational power.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2008 > Exploratory visualization of...
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/6qtX3pFwXQZG2LgkFdY/UNuEH
zipped data URLhttp://urlib.net/zip/6qtX3pFwXQZG2LgkFdY/UNuEH
Languageen
Target Fileespezua-MDS.pdf
User Groupsespezua@sel.eesc.usp.br
administrator
Visibilityshown
5. Allied materials
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPEW34M/46SG4TH
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2022/05.14.04.55 1
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsarchivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage e-mailaddress edition electronicmailaddress group isbn issn label lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url volume


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