Skip to main content

Articles

Page 228 of 228

  1. Identifying reliable oligonucleotide sequences for use in microarray experiments is a complex process. Two key issues are the accuracy of the input sequences and the specificity of the oligonucleotide sequences.

    Authors: Hao Chen and Burt M Sharp
    Citation: BMC Bioinformatics 2002 3:27
  2. Molecular characterization has contributed to the understanding of the inception, progression, treatment and prognosis of cancer. Nucleic acid array-based technologies extend molecular characterization of tumo...

    Authors: Michael A Gieseg, Theresa Cody, Michael Z Man, Steven J Madore, Mark A Rubin and Eric P Kaldjian
    Citation: BMC Bioinformatics 2002 3:26
  3. T-cells are key players in regulating a specific immune response. Activation of cytotoxic T-cells requires recognition of specific peptides bound to Major Histocompatibility Complex (MHC) class I molecules. MH...

    Authors: Pierre Dönnes and Arne Elofsson
    Citation: BMC Bioinformatics 2002 3:25
  4. For many years, scientists believed that point mutations in genes are the genetic switches for somatic and inherited diseases such as cystic fibrosis, phenylketonuria and cancer. Some of these mutations likely...

    Authors: Sean D Mooney and Teri E Klein
    Citation: BMC Bioinformatics 2002 3:24
  5. DNA microarray technology is a powerful technique that was recently developed in order to analyze thousands of genes in a short time. Presently, microarrays, or chips, of the cDNA type and oligonucleotide type...

    Authors: Ravi Kothapalli, Sean J Yoder, Shrikant Mane and Thomas P Loughran Jr
    Citation: BMC Bioinformatics 2002 3:22
  6. Post transcriptional gene silencing (PTGS) is a recently discovered phenomenon that is an area of intense research interest. Components of the PTGS machinery are being discovered by genetic and bioinformatics ...

    Authors: Alex Bateman
    Citation: BMC Bioinformatics 2002 3:21
  7. The biomedical community is developing new methods of data analysis to more efficiently process the massive data sets produced by microarray experiments. Systematic and global mathematical approaches that can ...

    Authors: David M Mutch, Alvin Berger, Robert Mansourian, Andreas Rytz and Matthew-Alan Roberts
    Citation: BMC Bioinformatics 2002 3:17
  8. Authors: Jamie J Cannone, Sankar Subramanian, Murray N Schnare, James R Collett, Lisa M D'Souza, Yushi Du, Brian Feng, Nan Lin, Lakshmi V Madabusi, Kirsten M Müller, Nupur Pande, Zhidi Shang, Nan Yu and Robin R Gutell
    Citation: BMC Bioinformatics 2002 3:15

    The original article was published in BMC Bioinformatics 2002 3:2

  9. The BLAST algorithm compares biological sequences to one another in order to determine shared motifs and common ancestry. However, the comparison of all non-redundant (NR) sequences against all other NR sequen...

    Authors: Michel Dumontier and Christopher WV Hogue
    Citation: BMC Bioinformatics 2002 3:13
  10. Escherichia coli guanine-N2 (m2G) methyltransferases (MTases) RsmC and RsmD modify nucleosides G1207 and G966 of 16S rRNA. They possess a common MTase domain in the C-terminus and a variable region in the N-termi...

    Authors: Janusz M Bujnicki and Leszek Rychlewski
    Citation: BMC Bioinformatics 2002 3:10
  11. Pattern matching is the core of bioinformatics; it is used in database searching, restriction enzyme mapping, and finding open reading frames. It is done repeatedly over increasingly long sequences, thus codes...

    Authors: Harry J Mangalam
    Citation: BMC Bioinformatics 2002 3:8
  12. Gene regulation in eukaryotes is mainly effected through transcription factors binding to rather short recognition motifs generally located upstream of the coding region. We present a novel computational metho...

    Authors: Michele Caselle, Ferdinando Di Cunto and Paolo Provero
    Citation: BMC Bioinformatics 2002 3:7
  13. For over a decade the idea of representing biological sequences in a continuous coordinate space has maintained its appeal but not been fully realized. The basic idea is that any sequence of symbols may define...

    Authors: Jonas S Almeida and Susana Vinga
    Citation: BMC Bioinformatics 2002 3:6
  14. Analysis of any newly sequenced bacterial genome starts with the identification of protein-coding genes. Despite the accumulation of multiple complete genome sequences, which provide useful comparisons with cl...

    Authors: Stéphanie Bocs, Antoine Danchin and Claudine Médigue
    Citation: BMC Bioinformatics 2002 3:5
  15. We provide a systematic study of the sources of variability in expression profiling data using 56 RNAs isolated from human muscle biopsies (34 Affymetrix MuscleChip arrays), and 36 murine cell culture and tiss...

    Authors: Marina Bakay, Yi-Wen Chen, Rehannah Borup, Po Zhao, Kanneboyina Nagaraju and Eric P Hoffman
    Citation: BMC Bioinformatics 2002 3:4
  16. Comparative analysis of RNA sequences is the basis for the detailed and accurate predictions of RNA structure and the determination of phylogenetic relationships for organisms that span the entire phylogenetic...

    Authors: Jamie J Cannone, Sankar Subramanian, Murray N Schnare, James R Collett, Lisa M D'Souza, Yushi Du, Brian Feng, Nan Lin, Lakshmi V Madabusi, Kirsten M Müller, Nupur Pande, Zhidi Shang, Nan Yu and Robin R Gutell
    Citation: BMC Bioinformatics 2002 3:2
  17. Most profile and motif databases strive to classify protein sequences into a broad spectrum of protein families. The next step of such database studies should include the development of classification systems ...

    Authors: Kevin Truong and Mitsuhiko Ikura
    Citation: BMC Bioinformatics 2002 3:1
  18. Currently, most genome annotation is curated by centralized groups with limited resources. Efforts to share annotations transparently among multiple groups have not yet been satisfactory.

    Authors: Robin D Dowell, Rodney M Jokerst, Allen Day, Sean R Eddy and Lincoln Stein
    Citation: BMC Bioinformatics 2001 2:7
  19. Prediction of protein structures is one of the fundamental challenges in biology today. To fully understand how well different prediction methods perform, it is necessary to use measures that evaluate their pe...

    Authors: Susana Cristobal, Adam Zemla, Daniel Fischer, Leszek Rychlewski and Arne Elofsson
    Citation: BMC Bioinformatics 2001 2:5
  20. Leucine-rich repeats are one of the more common modules found in proteins. The leucine-rich repeat consensus motif is LxxLxLxxNxLxxLxxLxxLxx- where the first 11–12 residues are highly conserved and the remaind...

    Authors: Colin W Ward and Thomas PJ Garrett
    Citation: BMC Bioinformatics 2001 2:4
  21. We apply a new machine learning method, the so-called Support Vector Machine method, to predict the protein structural class. Support Vector Machine method is performed based on the database derived from SCOP,...

    Authors: Yu-Dong Cai, Xiao-Jun Liu, Xue-biao Xu and Guo-Ping Zhou
    Citation: BMC Bioinformatics 2001 2:3
  22. The 5'-terminal cap structure plays an important role in many aspects of mRNA metabolism. Capping enzymes encoded by viruses and pathogenic fungi are attractive targets for specific inhibitors. There is a larg...

    Authors: Janusz M Bujnicki, Marcin Feder, Monika Radlinska and Leszek Rychlewski
    Citation: BMC Bioinformatics 2001 2:2

Featured videos

View featured videos from across the BMC-series journals

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)

    Usage 
    6,337,109 Downloads (2021)
    5089 Altmetric Mentions

Sign up for article alerts and news from this journal