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Volume 13 Supplement 13

Selected articles from The 8th Annual Biotechnology and Bioinformatics Symposium (BIOT-2011)


Edited by Bradley M Broom, Devika Subramanian, Prahlad Ram, Jorge R Hersovic, Elmer V Bernstam

The organizer would like to thank the following companies for their support of the symposium: OnX Enterprise Solutions Ltd., Hewlett-Packard (HP), IBM, George R. Brown School of Engineering, Rice University, Department of Bioinformatics and Computational Biology, UT MD Anderson Cancer Center

The 8th Annual Biotechnology and Bioinformatics Symposium (BIOT-2011). Go to conference site.

Houston, TX, USA20-21 October 2011

  1. High-throughtput technologies enable the testing of tens of thousands of measurements simultaneously. Identification of genes that are differentially expressed or associated with clinical outcomes invokes the ...

    Authors: Jiexin Zhang and Kevin R Coombes
    Citation: BMC Bioinformatics 2012 13(Suppl 13):S1
  2. Electronic Health Records aggregated in Clinical Data Warehouses (CDWs) promise to revolutionize Comparative Effectiveness Research and suggest new avenues of research. However, the effectiveness of CDWs is di...

    Authors: Jorge R Herskovic, Devika Subramanian, Trevor Cohen, Pamela A Bozzo-Silva, Charles F Bearden and Elmer V Bernstam
    Citation: BMC Bioinformatics 2012 13(Suppl 13):S2
  3. Numerous types of clustering like single linkage and K-means have been widely studied and applied to a variety of scientific problems. However, the existing methods are not readily applicable for the problems ...

    Authors: Bong-Hyun Kim, Bhadrachalam Chitturi and Nick V Grishin
    Citation: BMC Bioinformatics 2012 13(Suppl 13):S3
  4. The development of high-throughput Microarray technologies has provided various opportunities to systematically characterize diverse types of computational biological networks. Co-expression network have becom...

    Authors: Priyakshi Mahanta, Hasin A Ahmed, Dhruba K Bhattacharyya and Jugal K Kalita
    Citation: BMC Bioinformatics 2012 13(Suppl 13):S4
  5. The cost of DNA sequencing has undergone a dramatical reduction in the past decade. As a result, sequencing technologies have been increasingly applied to genomic research. RNA-Seq is becoming a common techniq...

    Authors: Guoshuai Cai, Hua Li, Yue Lu, Xuelin Huang, Juhee Lee, Peter Müller, Yuan Ji and Shoudan Liang
    Citation: BMC Bioinformatics 2012 13(Suppl 13):S5
  6. Base calling is a critical step in the Solexa next-generation sequencing procedure. It compares the position-specific intensity measurements that reflect the signal strength of four possible bases (A, C, G, T)...

    Authors: Yuan Ji, Riten Mitra, Fernando Quintana, Alejandro Jara, Peter Mueller, Ping Liu, Yue Lu and Shoudan Liang
    Citation: BMC Bioinformatics 2012 13(Suppl 13):S6
  7. Recent advances in sequencing technology have created large data sets upon which phylogenetic inference can be performed. Current research is limited by the prohibitive time necessary to perform tree search on...

    Authors: Kenneth Sundberg, Mark Clement, Quinn Snell, Dan Ventura, Michael Whiting and Keith Crandall
    Citation: BMC Bioinformatics 2012 13(Suppl 13):S8
  8. Analysis of large sets of biological sequence data from related strains or organisms is complicated by superficial redundancy in the set, which may contain many members that are identical except at one or two ...

    Authors: Catherine H Schein, David M Bowen, Jessica A Lewis, Kyung Choi, Aniko Paul, Gerbrand J van der Heden van Noort, Wenzhe Lu and Dmitri V Filippov
    Citation: BMC Bioinformatics 2012 13(Suppl 13):S9
  9. Microbial metagenomic analyses rely on an increasing number of publicly available tools. Installation, integration, and maintenance of the tools poses significant burden on many researchers and creates a barri...

    Authors: Kevin Riehle, Cristian Coarfa, Andrew Jackson, Jun Ma, Arpit Tandon, Sameer Paithankar, Sriram Raghuraman, Toni-Ann Mistretta, Delphine Saulnier, Sabeen Raza, Maria Alejandra Diaz, Robert Shulman, Kjersti Aagaard, James Versalovic and Aleksandar Milosavljevic
    Citation: BMC Bioinformatics 2012 13(Suppl 13):S11

Annual Journal Metrics

  • 2022 Citation Impact
    3.0 - 2-year Impact Factor
    4.3 - 5-year Impact Factor
    0.938 - SNIP (Source Normalized Impact per Paper)
    1.100 - SJR (SCImago Journal Rank)

    2023 Speed
    19 days submission to first editorial decision for all manuscripts (Median)
    146 days submission to accept (Median)

    2023 Usage
    4,858 Altmetric mentions 

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