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Volume 10 Supplement 11

Proceedings of the Sixth Annual MCBIOS Conference. Transformational Bioinformatics: Delivering Value from Genomes

Proceedings

Edited by Jonathan D Wren (Senior Editor), Yuriy Gusev, Raphael D Isokpehi, Dan Berleant, Ulisses Braga-Neto, Dawn Wilkins and Susan Bridges

Sixth Annual MCBIOS Conference. Transformational Bioinformatics: Delivering Value from Genomes. Go to conference site.

Starkville, MS, USA20-21 February 2009

  1. Modeling results from chicken microarray studies is challenging for researchers due to little functional annotation associated with these arrays. The Affymetrix GenChip chicken genome array, one of the biggest...

    Authors: Teresia J Buza, Ranjit Kumar, Cathy R Gresham, Shane C Burgess and Fiona M McCarthy
    Citation: BMC Bioinformatics 2009 10(Suppl 11):S2
  2. As a major component of plant cell wall, lignin plays important roles in mechanical support, water transport, and stress responses. As the main cause for the recalcitrance of plant cell wall, lignin modificati...

    Authors: Zhanyou Xu, Dandan Zhang, Jun Hu, Xin Zhou, Xia Ye, Kristen L Reichel, Nathan R Stewart, Ryan D Syrenne, Xiaohan Yang, Peng Gao, Weibing Shi, Crissa Doeppke, Robert W Sykes, Jason N Burris, Joseph J Bozell, Max Zong-Ming Cheng…
    Citation: BMC Bioinformatics 2009 10(Suppl 11):S3
  3. Pathway-oriented experimental and computational studies have led to a significant accumulation of biological knowledge concerning three major types of biological pathway events: molecular signaling events, gen...

    Authors: Sudhir R Chowbina, Xiaogang Wu, Fan Zhang, Peter M Li, Ragini Pandey, Harini N Kasamsetty and Jake Y Chen
    Citation: BMC Bioinformatics 2009 10(Suppl 11):S5
  4. The horse genome is sequenced, allowing equine researchers to use high-throughput functional genomics platforms such as microarrays; next-generation sequencing for gene expression and proteomics. However, for ...

    Authors: Lauren A Bright, Shane C Burgess, Bhanu Chowdhary, Cyprianna E Swiderski and Fiona M McCarthy
    Citation: BMC Bioinformatics 2009 10(Suppl 11):S8
  5. The widespread availability of microarray technology has driven functional genomics to the forefront as scientists seek to draw meaningful biological conclusions from their microarray results. Gene annotation ...

    Authors: Bart HJ van den Berg, Chamali Thanthiriwatte, Prashanti Manda and Susan M Bridges
    Citation: BMC Bioinformatics 2009 10(Suppl 11):S9
  6. Nanomaterials are being manufactured on a commercial scale for use in medical, diagnostic, energy, component and communications industries. However, concerns over the safety of engineered nanomaterials have su...

    Authors: Amin Zollanvari, Mary Jane Cunningham, Ulisses Braga-Neto and Edward R Dougherty
    Citation: BMC Bioinformatics 2009 10(Suppl 11):S10
  7. Environmental monitoring for pharmaceuticals and endocrine disruptors in the aquatic environment traditionally employs a variety of methods including analytical chemistry, as well as a variety of histological ...

    Authors: Natàlia Garcia-Reyero, Ira R Adelman, Dalma Martinović, Li Liu and Nancy D Denslow
    Citation: BMC Bioinformatics 2009 10(Suppl 11):S11
  8. Several different microarray platforms are available for measuring gene expression. There are disagreements within the microarray scientific community for intra- and inter-platform consistency of these platfor...

    Authors: Zhiguang Li, Zhenqiang Su, Zhining Wen, Leming Shi and Tao Chen
    Citation: BMC Bioinformatics 2009 10(Suppl 11):S12
  9. There has been recent interest in capturing the functional relationships (FRs) from high-throughput assays using suitable computational techniques. FRs elucidate the working of genes in concert as a system as ...

    Authors: Shweta S Chavan, Michael A Bauer, Marco Scutari and Radhakrishnan Nagarajan
    Citation: BMC Bioinformatics 2009 10(Suppl 11):S14
  10. Next-generation sequencing techniques enable several novel transcriptome profiling approaches. Recent studies indicated that digital gene expression profiling based on short sequence tags has superior performa...

    Authors: Xin Zhou, Zhen Su, R Douglas Sammons, Yanhui Peng, Patrick J Tranel, C Neal Stewart Jr and Joshua S Yuan
    Citation: BMC Bioinformatics 2009 10(Suppl 11):S16
  11. Mass spectrometry-based protein identification methods are fundamental to proteomics. Biological experiments are usually performed in replicates and proteomic analyses generate huge datasets which need to be i...

    Authors: Ken Pendarvis, Ranjit Kumar, Shane C Burgess and Bindu Nanduri
    Citation: BMC Bioinformatics 2009 10(Suppl 11):S17
  12. The increasingly large amount of free, online biological text makes automatic interaction extraction correspondingly attractive. Machine learning is one strategy that works by uncovering and using useful prope...

    Authors: Lifeng Zhang, Daniel Berleant, Jing Ding, Tuan Cao and Eve Syrkin Wurtele
    Citation: BMC Bioinformatics 2009 10(Suppl 11):S18
  13. Microarray technology has made it possible to simultaneously monitor the expression levels of thousands of genes in a single experiment. However, the large number of genes greatly increases the challenges of a...

    Authors: Cuilan Gao, Xin Dang, Yixin Chen and Dawn Wilkins
    Citation: BMC Bioinformatics 2009 10(Suppl 11):S19

Annual Journal Metrics

  • Speed
    15 days to first decision for all manuscripts
    70 days to first decision for reviewed manuscripts only
    163 days from submission to acceptance
    36 days from acceptance to publication

    Citation Impact
    3.169 - 2-year Impact Factor
    3.629 - 5-year Impact Factor
    1.276 - Source Normalized Impact per Paper (SNIP)
    1.567 - SCImago Journal Rank (SJR)

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