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  1. In the last few decades there has been a great deal of discussion concerning whether or not noncoding RNA sequences (ncRNAs) fold in a more well-defined manner than random sequences. In this paper, we investig...

    Authors: Eva Freyhult, Paul P Gardner and Vincent Moulton
    Citation: BMC Bioinformatics 2005 6:241
  2. The recent explosion in the availability of complete genome sequences has led to the cataloging of tens of thousands of new proteins and putative proteins. Many of these proteins can be structurally or functio...

    Authors: Thomas J Magliery and Lynne Regan
    Citation: BMC Bioinformatics 2005 6:240
  3. A recent publication described a supervised classification method for microarray data: Between Group Analysis (BGA). This method which is based on performing multivariate ordination of groups proved to be very...

    Authors: Florent Baty, Michel P Bihl, Guy Perrière, Aedín C Culhane and Martin H Brutsche
    Citation: BMC Bioinformatics 2005 6:239
  4. Clone-based microarrays, on which each spot represents a random genomic fragment, are a good alternative to open reading frame-based microarrays, especially for microorganisms for which the complete genome seq...

    Authors: Bart Pieterse, Elisabeth J Quirijns, Frank HJ Schuren and Mariët J van der Werf
    Citation: BMC Bioinformatics 2005 6:238
  5. Collections of transcription factor binding profiles (Transfac, Jaspar) are essential to identify regulatory elements in DNA sequences. Subsets of highly similar profiles complicate large scale analysis of tra...

    Authors: Szymon M Kielbasa, Didier Gonze and Hanspeter Herzel
    Citation: BMC Bioinformatics 2005 6:237
  6. General protein evolution models help determine the baseline expectations for the evolution of sequences, and they have been extensively useful in sequence analysis and for the computer simulation of artificia...

    Authors: Andy Pang, Andrew D Smith, Paulo AS Nuin and Elisabeth RM Tillier
    Citation: BMC Bioinformatics 2005 6:236
  7. Several data formats have been developed for large scale biological experiments, using a variety of methodologies. Most data formats contain a mechanism for allowing extensions to encode unanticipated data types....

    Authors: Andrew R Jones and Norman W Paton
    Citation: BMC Bioinformatics 2005 6:235
  8. A common feature of microarray experiments is the occurence of missing gene expression data. These missing values occur for a variety of reasons, in particular, because of the filtering of poor quality spots a...

    Authors: Brian DM Tom, Walter R Gilks, Elizabeth T Brooke-Powell and James W Ajioka
    Citation: BMC Bioinformatics 2005 6:234

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