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1.

Methodology article   Open Access Highly Accessed

Statistical analysis of real-time PCR data

Joshua S Yuan, Ann Reed, Feng Chen, C Neal Stewart BMC Bioinformatics 2006, 7:85 (22 February 2006)

Abstract | Full text | PDF | PubMed | Cited on BioMed Central

2.

Methodology article   Open Access Highly Accessed

Cloud computing for comparative genomics

Dennis P Wall, Parul Kudtarkar, Vincent A Fusaro, Rimma Pivovarov, Prasad Patil, Peter J Tonellato BMC Bioinformatics 2010, 11:259 (18 May 2010)

Abstract | Full text | PDF | PubMed | Cited on BioMed Central

3.

Software   Open Access Highly Accessed

R/parallel – speeding up bioinformatics analysis with R

Gonzalo Vera, Ritsert C Jansen, Remo L Suppi BMC Bioinformatics 2008, 9:390 (22 September 2008)

Abstract | Full text | PDF | PubMed | Cited on BioMed Central

4.

Software   Open Access Highly Accessed

CBESW: Sequence Alignment on the Playstation 3

Adrianto Wirawan, Chee Kwoh, Nim Hieu, Bertil Schmidt BMC Bioinformatics 2008, 9:377 (17 September 2008)

Abstract | Full text | PDF | PubMed | Cited on BioMed Central | 1 comment

5.

Methodology article   Open Access Highly Accessed

A comparison of common programming languages used in bioinformatics

Mathieu Fourment, Michael R Gillings BMC Bioinformatics 2008, 9:82 (5 February 2008)

Abstract | Full text | PDF | PubMed | Cited on BioMed Central | 2 comments

6.

Research article   Open Access Highly Accessed

Alignment and clustering of phylogenetic markers - implications for microbial diversity studies

James R White, Saket Navlakha, Niranjan Nagarajan, Mohammad-Reza Ghodsi, Carl Kingsford, Mihai Pop BMC Bioinformatics 2010, 11:152 (24 March 2010)

Abstract | Full text | PDF | PubMed | Cited on BioMed Central |  Editor’s summary

An assessment of methodologies for clustering sequences into operational taxonomic units demonstrates that small changes in algorithm parameters can lead to inflated estimates of microbial diversity, but semi-supervised clustering can produce a more robust result.

7.

Research   Open Access Highly Accessed

Scratchpads: a data-publishing framework to build, share and manage information on the diversity of life

Vincent S Smith, Simon D Rycroft, Kehan T Harman, Ben Scott, David Roberts BMC Bioinformatics 2009, 10(Suppl 14):S6 (10 November 2009)

Abstract | Full text | PDF | PubMed |  Editor’s summary

Scratchpads, a new social networking tool for natural history researchers and enthusiasts, links information from disparate sources, encourages data sharing, and promotes the ultimate goal of describing and synthesising all facets of the diversity of life.

8.

Methodology article   Open Access Highly Accessed

NITPICK: peak identification for mass spectrometry data

Bernhard Y Renard, Marc Kirchner, Hanno Steen, Judith AJ Steen, Fred A Hamprecht BMC Bioinformatics 2008, 9:355 (28 August 2008)

Abstract | Full text | PDF | PubMed | Cited on BioMed Central

9.

Methodology article   Open Access Highly Accessed

Statistical significance of quantitative PCR

Yann Karlen, Alan McNair, Sébastien Perseguers, Christian Mazza, Nicolas Mermod BMC Bioinformatics 2007, 8:131 (20 April 2007)

Abstract | Full text | PDF | PubMed | Cited on BioMed Central

10.

Correspondence   Open Access Highly Accessed

An introduction to scripting in Ruby for biologists

Jan Aerts, Andy Law BMC Bioinformatics 2009, 10:221 (16 July 2009)

Abstract | Full text | PDF | PubMed | Cited on BioMed Central | 1 comment

11.

Software   Open Access Highly Accessed

High-throughput sequence alignment using Graphics Processing Units

Michael C Schatz, Cole Trapnell, Arthur L Delcher, Amitabh Varshney BMC Bioinformatics 2007, 8:474 (10 December 2007)

Abstract | Full text | PDF | PubMed | Cited on BioMed Central

12.

Software   Open Access Highly Accessed

SPRINT: A new parallel framework for R

Jon Hill, Matthew Hambley, Thorsten Forster, Muriel Mewissen, Terence M Sloan, Florian Scharinger, Arthur Trew, Peter Ghazal BMC Bioinformatics 2008, 9:558 (29 December 2008)

Abstract | Full text | PDF | PubMed | Cited on BioMed Central |  Editor’s summary

A new interface, SPRINT, allows statistical analyses written in the R programming language to be run on high performance computing systems without the need for specialist programming to exploit parallel processors.

13.

Research article   Open Access Highly Accessed

Identification and correction of systematic error in high-throughput sequence data

Frazer Meacham, Dario Boffelli, Joseph Dhahbi, David IK Martin, Meromit Singer, Lior Pachter BMC Bioinformatics 2011, 12:451 (21 November 2011)

Abstract | Full text | PDF | PubMed | Cited on BioMed Central

14.

Research article   Open Access Highly Accessed

Merging microarray data from separate breast cancer studies provides a robust prognostic test

Lei Xu, Aik Tan, Raimond L Winslow, Donald Geman BMC Bioinformatics 2008, 9:125 (27 February 2008)

Abstract | Full text | PDF | PubMed | Cited on BioMed Central

15.

Methodology article   Open Access Highly Accessed

Readjoiner: a fast and memory efficient string graph-based sequence assembler

Giorgio Gonnella, Stefan Kurtz BMC Bioinformatics 2012, 13:82 (6 May 2012)

Abstract | Full text | PDF | PubMed

16.

Software   Open Access Highly Accessed

BLAST+: architecture and applications

Christiam Camacho, George Coulouris, Vahram Avagyan, Ning Ma, Jason Papadopoulos, Kevin Bealer, Thomas L Madden BMC Bioinformatics 2009, 10:421 (15 December 2009)

Abstract | Full text | PDF | PubMed | Cited on BioMed Central |  Editor’s summary

With the advent of more complete genomes BLAST has been re-written to include a new set of command line searches and a new modular structure, giving substantial speed improvements for long queries and an improved user interface.

17.

Methodology article   Open Access Highly Accessed

A unified approach to false discovery rate estimation

Korbinian Strimmer BMC Bioinformatics 2008, 9:303 (9 July 2008)

Abstract | Full text | PDF | PubMed | Cited on BioMed Central |  Editor’s summary

A generalized algorithm that simultaneously estimates both local false discovery rates and tail area-based FDR gives a common framework to apply a range of test statistics to high-dimensional data.

18.

Software   Open Access Highly Accessed

BisoGenet: a new tool for gene network building, visualization and analysis

Alexander Martin, Maria E Ochagavia, Laya C Rabasa, Jamilet Miranda, Jorge Fernandez-de-Cossio, Ricardo Bringas BMC Bioinformatics 2010, 11:91 (17 February 2010)

Abstract | Full text | PDF | PubMed | Cited on BioMed Central

19.

Software   Open Access Highly Accessed

RSEM: accurate transcript quantification from RNA-Seq data with or without a reference genome

Bo Li, Colin N Dewey BMC Bioinformatics 2011, 12:323 (4 August 2011)

Abstract | Full text | PDF | PubMed | Cited on BioMed Central |  Editor’s summary

RSEM is a new user-friendly software tool for quantifying transcript abundance from RNA-seq data that does not rely on a reference genome and is particularly useful for quantification with de novo transcriptome assemblies

20.

Methodology   Open Access Highly Accessed

Advancing translational research with the Semantic Web

Alan Ruttenberg, Tim Clark, William Bug, Matthias Samwald, Olivier Bodenreider, Helen Chen, Donald Doherty, Kerstin Forsberg, Yong Gao, Vipul Kashyap, June Kinoshita, Joanne Luciano, M Scott Marshall, Chimezie Ogbuji, Jonathan Rees, Susie Stephens, Gwendolyn T Wong, Elizabeth Wu, Davide Zaccagnini, Tonya Hongsermeier, Eric Neumann, Ivan Herman, Kei-Hoi Cheung BMC Bioinformatics 2007, 8(Suppl 3):S2 (9 May 2007)

Abstract | Full text | PDF | PubMed | Cited on BioMed Central | 1 comment | F1000 Biology

21.

Research article   Open Access Highly Accessed

Identification and correction of abnormal, incomplete and mispredicted proteins in public databases

Alinda Nagy, Hédi Hegyi, Krisztina Farkas, Hedvig Tordai, Evelin Kozma, László Bányai, László Patthy BMC Bioinformatics 2008, 9:353 (27 August 2008)

Abstract | Full text | PDF | PubMed | Cited on BioMed Central |  Editor’s summary

The MisPred tool improves gene predictions within public databases by using five distinct approaches to detect incomplete or incorrect sequences, such as missing signal peptides or problems with domain integrity.

22.

Software   Open Access Highly Accessed

Next generation tools for genomic data generation, distribution, and visualization

David A Nix, Tonya L Di Sera, Brian K Dalley, Brett A Milash, Robert M Cundick, Kevin S Quinn, Samir J Courdy BMC Bioinformatics 2010, 11:455 (9 September 2010)

Abstract | Full text | PDF | PubMed | Cited on BioMed Central

23.

Software   Open Access Highly Accessed

SeqAn An efficient, generic C++ library for sequence analysis

Andreas Döring, David Weese, Tobias Rausch, Knut Reinert BMC Bioinformatics 2008, 9:11 (9 January 2008)

Abstract | Full text | PDF | PubMed | Cited on BioMed Central

24.

Software   Open Access Highly Accessed

SolexaQA: At-a-glance quality assessment of Illumina second-generation sequencing data

Murray P Cox, Daniel A Peterson, Patrick J Biggs BMC Bioinformatics 2010, 11:485 (27 September 2010)

Abstract | Full text | PDF | PubMed | Cited on BioMed Central

25.

Methodology article   Open Access Highly Accessed

A new real-time PCR method to overcome significant quantitative inaccuracy due to slight amplification inhibition

Michele Guescini, Davide Sisti, Marco BL Rocchi, Laura Stocchi, Vilberto Stocchi BMC Bioinformatics 2008, 9:326 (30 July 2008)

Abstract | Full text | PDF | PubMed | Cited on BioMed Central

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