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Showing search results (1–5 of 5):

  1. BEARR (View Publication)
    Resource Category : Webserver -> DNA -> Structure and Sequence Feature Detection

    Brief Description : Batch Extraction and Analysis of cis-Regulatory Regions (BEARR) takes a list of gene identifiers (such as RefSeq and Unigene IDs), consensus patterns, and (optionally) a position weight matrix as input and returns a list of matches for the patterns in both the sense and anti-sense strands of the relevant genomic sequence. The user specifies what distance up and downstream from both the transcription start site and the 3' terminus to look for the patterns.

    Institute/s :
    Genome Institute of Singapore
    60 Biopolis Street, #02-01, Singapore

    Address of Institute/s :
    Genome Institute of Singapore
    60 Biopolis Street, #02-01, Singapore

    Country : Germany


    Authors/Contributors : Vega VB, Bangarusamy DK, Miller LD, Liu ET, Lin CY.
    Contact Email : vegav@gis.a-star.edu.sg
    Year : 2004



  2. BEARR (View Publication)
    Resource Category : Webserver -> Expression -> Gene Regulation

    Brief Description : Batch Extraction and Analysis of cis-Regulatory Regions (BEARR) takes a list of gene identifiers (such as RefSeq and Unigene IDs), consensus patterns, and (optionally) a position weight matrix as input and returns a list of matches for the patterns in both the sense and anti-sense strands of the relevant genomic sequence. The user specifies what distance up and downstream from both the transcription start site and the 3' terminus to look for the patterns.

    Institute/s :
    Genome Institute of Singapore, 60 Biopolis Street, #02-01, Singapore
    Address of Institute/s :
    Genome Institute of Singapore, 60 Biopolis Street, #02-01, Singapore
    Country : Singapore


    Authors/Contributors : Vega VB, Bangarusamy DK, Miller LD, Liu ET, Lin CY.
    Contact Email : vegav@gis.a-star.edu.sg
    Year : 2004



  3. BEARR (View Publication)
    Resource Category : Webserver -> Expression -> Transcript Expression & Microarrays

    Brief Description : Batch Extraction and Analysis of cis-Regulatory Regions (BEARR) takes a list of gene identifiers (such as RefSeq and Unigene IDs), consensus patterns, and (optionally) a position weight matrix as input and returns a list of matches for the patterns in both the sense and anti-sense strands of the relevant genomic sequence. The user specifies what distance up and downstream from both the transcription start site and the 3' terminus to look for the patterns.

    Institute/s :
    Genome Institute of Singapore, 60 Biopolis Street, #02-01, Singapore
    Address of Institute/s :
    Genome Institute of Singapore, 60 Biopolis Street, #02-01, Singapore
    Country : Singapore


    Authors/Contributors : Vega VB, Bangarusamy DK, Miller LD, Liu ET, Lin CY.
    Contact Email : vegav@gis.a-star.edu.sg
    Year : 2004



  4. BEARR (View Publication)
    Resource Category : Webserver -> Human Genome -> Other Resources

    Brief Description : Batch Extraction and Analysis of cis-Regulatory Regions (BEARR) takes a list of gene identifiers (such as RefSeq and Unigene IDs), consensus patterns, and (optionally) a position weight matrix as input and returns a list of matches for the patterns in both the sense and anti-sense strands of the relevant genomic sequence. The user specifies what distance up and downstream from both the transcription start site and the 3' terminus to look for the patterns.

    Institute/s :
    Genome Institute of Singapore, 60 Biopolis Street, #02-01, Singapore
    Address of Institute/s :
    Genome Institute of Singapore, 60 Biopolis Street, #02-01, Singapore
    Country : Singapore


    Authors/Contributors : Vega VB, Bangarusamy DK, Miller LD, Liu ET, Lin CY.
    Contact Email : vegav@gis.a-star.edu.sg
    Year : 2004



  5. BEARR (View Publication)
    Resource Category : Webserver -> Model Organisms -> Mouse and Rat

    Brief Description : Batch Extraction and Analysis of cis-Regulatory Regions (BEARR) takes a list of gene identifiers (such as RefSeq and Unigene IDs), consensus patterns, and (optionally) a position weight matrix as input and returns a list of matches for the patterns in both the sense and anti-sense strands of the relevant genomic sequence. The user specifies what distance up and downstream from both the transcription start site and the 3' terminus to look for the patterns.

    Institute/s :
    Genome Institute of Singapore, 60 Biopolis Street, #02-01, Singapore
    Address of Institute/s :
    Genome Institute of Singapore, 60 Biopolis Street, #02-01, Singapore
    Country : Singapore


    Authors/Contributors : Vega VB, Bangarusamy DK, Miller LD, Liu ET, Lin CY.
    Contact Email : vegav@gis.a-star.edu.sg
    Year : 2004