GLORIA

GEOMAR Library Ocean Research Information Access

Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
  • 1
    In: Comparative and Functional Genomics, Hindawi Limited, Vol. 5, No. 8 ( 2004), p. 584-595
    Abstract: In this paper we aim to create a reference data collection of Northern blot results and demonstrate how such a collection can enable a quantitative comparison of modern expression profiling techniques, a central component of functional genomics studies. Historically, Northern blots were the de facto standard for determining RNA transcript levels. However, driven by the demand for analysis of large sets of genes in parallel, high-throughput methods, such as microarrays, dominate modern profiling efforts. To facilitate assessment of these methods, in comparison to Northern blots, we created a database of published Northern results obtained with a standardized commercial multiple tissue blot (dbMTN). In order to demonstrate the utility of the dbMTN collection for technology comparison, we also generated expression profiles for genes across a set of human tissues, using multiple profiling techniques. No method produced profiles that were strongly correlated with the Northern blot data. The highest correlations to the Northern blot data were determined with microarrays for the subset of genes observed to be specifically expressed in a single tissue in the Northern analyses. The database and expression profiling data are available via the project website (http://www.cisreg.ca). We believe that emphasis on multitechnique validation of expression profiles is justified, as the correlation results between platforms are not encouraging on the whole. Supplementary material for this article can be found at: http://www.interscience.wiley.com/jpages/1531-6912/suppmat
    Type of Medium: Online Resource
    ISSN: 1531-6912 , 1532-6268
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2004
    detail.hit.zdb_id: 2054345-1
    detail.hit.zdb_id: 2711883-6
    SSG: 12
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 2
    Online Resource
    Online Resource
    Oxford University Press (OUP) ; 2002
    In:  Bioinformatics Vol. 18, No. 9 ( 2002-09-01), p. 1272-1273
    In: Bioinformatics, Oxford University Press (OUP), Vol. 18, No. 9 ( 2002-09-01), p. 1272-1273
    Abstract: Summary: Orthostrapper is a program that calculates orthology support values for pairs of sequences in a multiple alignment (Storm and Sonnhammer, Bioinformatics, 18, 92–99, 2002). Here we present OrthoGUI, a web interface and display tool for Orthostrapper analysis. OrthoGUI visualizes the Orthostrapper output in both tabular and tree representations, and can also apply a clustering algorithm to identify groups of multiple orthologs, which are indicated by colour coding. Availability: http://www.cgb.ki.se/OrthoGUI Contact: erik.sonnhammer@cgb.ki.se * To whom correspondence should be addressed.
    Type of Medium: Online Resource
    ISSN: 1367-4811 , 1367-4803
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2002
    detail.hit.zdb_id: 1468345-3
    SSG: 12
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 3
    Online Resource
    Online Resource
    Oxford University Press (OUP) ; 2004
    In:  Bioinformatics Vol. 20, No. 15 ( 2004-10-12), p. 2488-2490
    In: Bioinformatics, Oxford University Press (OUP), Vol. 20, No. 15 ( 2004-10-12), p. 2488-2490
    Abstract: Summary: Sfixem is an sequence feature series (SFS) visualization tool implemented in Java. It is designed to visualize data from sequence analysis programs, allowing the user to view multiple sets of computationally generated analysis to assist the analysis process. SFS is used as the data exchange format. Availability: Sfixem is available for direct usage or download for local usage at http://sfixem.cgb.ki.se. A protein sequence analysis workbench using Sfixem is available at http://sfinx.cgb.ki.se.
    Type of Medium: Online Resource
    ISSN: 1367-4811 , 1367-4803
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2004
    detail.hit.zdb_id: 1468345-3
    SSG: 12
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 4
    Online Resource
    Online Resource
    Oxford University Press (OUP) ; 2002
    In:  Bioinformatics Vol. 18, No. 1 ( 2002-01-01), p. 92-99
    In: Bioinformatics, Oxford University Press (OUP), Vol. 18, No. 1 ( 2002-01-01), p. 92-99
    Abstract: Motivation: Orthologous proteins in different species are likely to have similar biochemical function and biological role. When annotating a newly sequenced genome by sequencehomology, the most precise and reliable functional information can thus be derived from orthologs in other species. A standard method of finding orthologs is to compare the sequence tree with the species tree. However, since the topology of phylogenetic tree is not always reliable one might get incorrect assignments. Results: Here we present a novel method that resolves this problem by analyzing a set of bootstrap trees instead of the optimal tree. The frequency of orthology assignments in the bootstrap trees can be interpreted as a support value for the possible orthology of the sequences. Our method is efficient enough to analyze data in the scale of whole genomes. It is implemented in Java and calculates orthology support levels for all pairwise combinations of homologous sequences of two species. The method was tested on simulated datasets and on real data of homologous proteins. Availability: Downloadable free of charge from ftp://ftp.cgb.ki.se/pub/prog/orthostrapper/or on request from the authors. Contact: christian.storm@cgb.ki.se
    Type of Medium: Online Resource
    ISSN: 1367-4811 , 1367-4803
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2002
    detail.hit.zdb_id: 1468345-3
    SSG: 12
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 5
    Online Resource
    Online Resource
    Oxford University Press (OUP) ; 2004
    In:  Bioinformatics Vol. 20, No. 4 ( 2004-03-01), p. 576-577
    In: Bioinformatics, Oxford University Press (OUP), Vol. 20, No. 4 ( 2004-03-01), p. 576-577
    Abstract: Summary: ChromoWheel is an Internet browser application for generating whole-genome illustrations. It can be used to depict chromosomes, genes and relations between chromosomal loci. The circular layout of chromosomes is advantageous for showing relationships between different chromosomes, as the connecting line never crosses over a chromosome. All graphical image components are in the vector-based format Scalable Vector Graphics, which are highly scaleable and admit user interaction. ChromoWheel can either be run with user-provided data in the generic SFS format, or as a browser front-end for precompiled genomic data. Availability:  http://chromowheel.cgb.ki.se
    Type of Medium: Online Resource
    ISSN: 1367-4811 , 1367-4803
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2004
    detail.hit.zdb_id: 1468345-3
    SSG: 12
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 6
    Online Resource
    Online Resource
    Oxford University Press (OUP) ; 2001
    In:  Bioinformatics Vol. 17, No. 7 ( 2001-07-01), p. 656-657
    In: Bioinformatics, Oxford University Press (OUP), Vol. 17, No. 7 ( 2001-07-01), p. 656-657
    Abstract: Summary: MEDUSA is a tool for automatic selection and visual assessment of PCR primer pairs, developed to assist large scale gene expression analysis projects. The system allows specification of constraints of the location and distances between the primers in a pair. For instance, primers in coding, non-coding, exon/intron-spanning regions might be selected. Medusa applies these constraints as a filter to primers predicted by three external programs, and displays the resulting primer pairs graphically in the Blixem (Sonnhammer and Durbin, Comput. Appl. Biosci.10, 301–307, 1994; http://www.cgr.ki.se/cgr/groups/sonnhammer/Blixem.html) viewer. Availability: The MEDUSA web server is available at http://www.cgr.ki.se/cgr/MEDUSA. The source code and user information are available at ftp://ftp.cgr.ki.se/pub/prog/medusa. Contact: Erik.Sonnhammer@cgr.ki.se
    Type of Medium: Online Resource
    ISSN: 1367-4811 , 1367-4803
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2001
    detail.hit.zdb_id: 1468345-3
    SSG: 12
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 7
    Online Resource
    Online Resource
    Mary Ann Liebert Inc ; 2004
    In:  Journal of Computational Biology Vol. 11, No. 1 ( 2004-01), p. 181-193
    In: Journal of Computational Biology, Mary Ann Liebert Inc, Vol. 11, No. 1 ( 2004-01), p. 181-193
    Type of Medium: Online Resource
    ISSN: 1066-5277 , 1557-8666
    Language: English
    Publisher: Mary Ann Liebert Inc
    Publication Date: 2004
    detail.hit.zdb_id: 2030900-4
    SSG: 12
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 8
    Online Resource
    Online Resource
    Oxford University Press (OUP) ; 2001
    In:  Bioinformatics Vol. 17, No. 4 ( 2001-04-01), p. 343-348
    In: Bioinformatics, Oxford University Press (OUP), Vol. 17, No. 4 ( 2001-04-01), p. 343-348
    Abstract: Motivation: Multi-domain proteins have evolved by insertions or deletions of distinct protein domains. Tracing the history of a certain domain combination can be important for functional annotation of multi-domain proteins, and for understanding the function of individual domains. In order to analyze the evolutionary history of the domains in modular proteins it is desirable to inspect a phylogenetic tree based on sequence divergence with the modular architecture of the sequences superimposed on the tree. Result: A Java applet, NIFAS, that integrates graphical domain schematics for each sequence in an evolutionary tree was developed. NIFAS retrieves domain information from the Pfam database and uses CLUSTAL W to calculate a tree for a given Pfam domain. The tree can be displayed with symbolic bootstrap values, and to allow the user to focus on a part of the tree, the layout can be altered by swapping nodes, changing the outgroup, and showing/collapsing subtrees. NIFAS is integrated with the Pfam database and is accessible over the internet (http://www.cgr.ki.se/Pfam). As an example, we use NIFAS to analyze the evolution of domains in Protein Kinases C. Contact: christian.storm@cgr.ki.se
    Type of Medium: Online Resource
    ISSN: 1367-4811 , 1367-4803
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2001
    detail.hit.zdb_id: 1468345-3
    SSG: 12
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 9
    Online Resource
    Online Resource
    Oxford University Press (OUP) ; 2002
    In:  Bioinformatics Vol. 18, No. 12 ( 2002-12-01), p. 1567-1575
    In: Bioinformatics, Oxford University Press (OUP), Vol. 18, No. 12 ( 2002-12-01), p. 1567-1575
    Abstract: Motivation: The expression of a gene can be selectively inhibited by antisense oligonucleotides (AOs) targeting the mRNA. However, if the target site in the mRNA is picked randomly, typically 20% or less of the AOs are effective inhibitors in vivo. The sequence properties that make an AO effective are not well understood, thus many AOs need to be tested to find good inhibitors, which is time consuming and costly. So far computational models have been based exclusively on RNA structure prediction or motif searches while ignoring information from other aspects of AO design into the model. Results: We present a computational model for AO prediction based on a neural network approach using a broad range of input parameters. Collecting sequence and efficacy data from AO scanning experiments in the literature generated a database of 490 AO molecules. Using a set of derived parameters based on AO sequence properties we trained a neural network model. The best model, an ensemble of 10 networks, gave an overall correlation coefficient of 0.30 (p=10−8). This model can predict effective AOs ( & gt;50% inhibition of gene expression) with a success rate of 92%. Using these thresholds the model predicts on average 12 effective AOs per 1000 base pairs, making it a stringent yet practical method for AO prediction. Availability: A prediction server is available at http://www.cgb.ki.se/AOpredict Contact: alistair.chalk@cgb.ki.se * To whom correspondence should be addressed.
    Type of Medium: Online Resource
    ISSN: 1367-4811 , 1367-4803
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2002
    detail.hit.zdb_id: 1468345-3
    SSG: 12
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 10
    Online Resource
    Online Resource
    Springer Science and Business Media LLC ; 2004
    In:  BMC Genomics Vol. 5, No. 1 ( 2004-12)
    In: BMC Genomics, Springer Science and Business Media LLC, Vol. 5, No. 1 ( 2004-12)
    Type of Medium: Online Resource
    ISSN: 1471-2164
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2004
    detail.hit.zdb_id: 2041499-7
    SSG: 12
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
Close ⊗
This website uses cookies and the analysis tool Matomo. More information can be found here...