biomedcentral.com/bmcbioinformatics/article
Bottom,Top,Right1
  • Welcome Stanford University
  • Log on
  •   BioMed Central
  • Journals
  • Gateways
BMC Bioinformatics
official impact factor 2.75
Search for
Advanced search
  • Home
  • Articles
  • Authors
  • Reviewers
  • About this journal
  • My BMC Bioinformatics

Submit a manuscript Register Sign up for article alerts Contact us Follow us on Twitter

Explore BMC Bioinformatics

  •  Editorial Board
  •  Instructions for authors
  •  FAQ
Advertisement

Articles

  • All articles
  • Sections
  • Most popular RSS
  • Archive
  • Supplements
  • Article collections
Sequence analysis (methods)

This section incorporates all aspects of sequence analysis methodology, including but not limited to: sequence alignment algorithms, discrete algorithms, phylogeny algorithms, gene prediction and sequence clustering methods.

Page 1 of 5

1 2 3 4 5  Next

 Display/download options Articles per page: 25 | 50 | 100

Display options
Download optionsHelp icon

1.

Software   Open Access

MethylPCA: a toolkit to control for confounders in methylome-wide association studies

Wenan Chen, Guimin Gao, Srilaxmi Nerella, Christina M Hultman, Patrik KE Magnusson, Patrick F Sullivan, Karolina A Aberg, Edwin JCG van den Oord BMC Bioinformatics 2013, 14:74 (2 March 2013)

Abstract | Provisional PDF

2.

Research article   Open Access

BOND: Basic OligoNucleotide Design

Lucian Ilie, Hamid Mohamadi, Geoffrey Brian Golding, William F Smyth BMC Bioinformatics 2013, 14:69 (27 February 2013)

Abstract | Provisional PDF | PubMed

3.

Methodology article   Open Access

Prediction of a time-to-event trait using genome wide SNP data

Jinseog Kim, Insuk Sohn, Dae-Soon Son, Dong Hwan Kim, Taejin Ahn, Sin-Ho Jung BMC Bioinformatics 2013, 14:58 (19 February 2013)

Abstract | Provisional PDF | PubMed

4.

Research article   Open Access Highly Accessed

A computational method for detecting copy number variations using scale-space filtering

Jongkeun Lee, Unjoo Lee, Baeksop Kim, Jeehee Yoon BMC Bioinformatics 2013, 14:57 (18 February 2013)

Abstract | Provisional PDF | PubMed

5.

Methodology article   Open Access Highly Accessed

Estimation of CpG coverage in whole methylome next-generation sequencing studies

Edwin J van den Oord, Jozsef Bukszar, Gábor Rudolf, Srilaxmi Nerella, Joseph L McClay, Lin Y Xie, Karolina A Aberg BMC Bioinformatics 2013, 14:50 (12 February 2013)

Abstract | Provisional PDF | PubMed

6.

Methodology article   Open Access

M-pick, a Modularity-based Method for OTU Picking of 16S rRNA Sequences

Xiaoyu Wang, Jin Yao, Yijun Sun, Volker Mai BMC Bioinformatics 2013, 14:43 (7 February 2013)

Abstract | Provisional PDF | PubMed

7.

Methodology article   Open Access Highly Accessed

Estimation of data-specific constitutive exons with RNA-Seq data

Ellis Patrick, Michael Buckley, Yee Hwa Yang BMC Bioinformatics 2013, 14:31 (29 January 2013)

Abstract | Provisional PDF | PubMed

8.

Research article   Open Access Highly Accessed

A fast least-squares algorithm for population inference

R Mitchell Parry, May D Wang BMC Bioinformatics 2013, 14:28 (23 January 2013)

Abstract | Provisional PDF | PubMed

9.

Methodology article   Open Access Highly Accessed

A Parzen window-based approach for the detection of locally enriched transcription factor binding sites

Alexis Vandenbon, Yutaro Kumagai, Shunsuke Teraguchi, Karlou Mar Amada, Shizuo Akira, Daron M Standley BMC Bioinformatics 2013, 14:26 (21 January 2013)

Abstract | Provisional PDF | PubMed

10.

Research article   Open Access

Improving stability and understandability of genotype-phenotype mapping in Saccharomyces using regularized variable selection in L-PLS regression

Tahir Mehmood, Jonas Warringer, Lars Snipen, Solve Sæbø BMC Bioinformatics 2012, 13:327 (8 December 2012)

Abstract | Provisional PDF | PubMed

Page 1 of 5

1 2 3 4 5  Next


  • Terms and Conditions
  • Privacy statement
  • Press
  • Information for advertisers
  • Jobs at BMC
  • Support
  • Contact us

© 2013 BioMed Central Ltd unless otherwise stated. Part of Springer Science+Business Media.