BMC Bioinformatics

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Call for papers: New Section in BMC Bioinformatics

BMC Bioinformatics are excited to announce the launch of a new section, "Machine Learning and Artificial Intelligence in Bioinformatics" lead by Section Editor Professor Jean-Philippe Vert.

To celebrate this, we are also launching a new thematic series "Machine learning for computational and systems biology".

The purpose of this thematic series is to bring together latest advances in machine learning and artificial intelligence methods in computational and systems biology, including their applications to problems in bioinformatics.

The deadline for submissions is May 6^th 2019.

Content type: Research
| 20 November 2018

The poly-omics of ageing through individual-based metabolic modelling

Authors: Elisabeth Yaneske and Claudio Angione
Content type: Research
| 20 November 2018

DNA sequences alignment in multi-GPUs: acceleration and energy payoff

Authors: Jesús Pérez-Serrano, Edans Sandes, Alba Cristina Magalhaes Alves de Melo and Manuel Ujaldón
Content type: Research
| 20 November 2018

Evaluating the impact of topological protein features on the negative examples selection

Authors: Paolo Boldi, Marco Frasca and Dario Malchiodi
Content type: Research
| 20 November 2018

Deep learning architectures for prediction of nucleosome positioning from sequences data

Authors: Mattia Di Gangi, Giosuè Lo Bosco and Riccardo Rizzo
Content type: Research
| 20 November 2018

Computational discovery of direct associations between GO terms and protein domains

Authors: Seyed Ziaeddin Alborzi, David W. Ritchie and Marie-Dominique Devignes

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Content type: Research article
| 9 June 2014

QMachine: commodity supercomputing in web browsers

Authors: Sean R Wilkinson and Jonas S Almeida
Content type: Software
| 4 August 2011

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

Authors: Bo Li and Colin N Dewey
Content type: Software
| 29 December 2008

WGCNA: an R package for weighted correlation network analysis

Authors: Peter Langfelder and Steve Horvath
Content type: Research article
| 9 March 2013

A comparison of methods for differential expression analysis of RNA-seq data

Authors: Charlotte Soneson and Mauro Delorenzi
Content type: Research article
| 17 November 2006

Novel methods for secondary structure determination using low wavelength (VUV) circular dichroism spectroscopic data

Authors: Jonathan G Lees, Andrew J Miles, Robert W Janes and B A Wallace

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Aims and scope

BMC Bioinformatics is an open access, peer-reviewed journal that considers articles on all aspects of the development, testing and novel application of computational and statistical methods for the modeling and analysis of all kinds of biological data, as well as other areas of computational biology.

Editor

Alison Cuff, BioMed Central

Section Editors

John S Garavelli, University of Delaware
Lukasz Kurgan, Virginia Commonwealth University
Hanchuan Peng, Allen Institute for Brain Science
Graziano Pesole, University of Bari
Olivier Poch, ICube Laboratory, Strasbourg
João Setubal, Universidade de São Paulo
Hagit Shatkay, University of Delaware
Jean-Philippe Vert, Mines ParisTech

Lukasz Kurgan, Section Editor

Structural analysis

BMC Series Editorial Site

The BMC Series Editorial site serves as a home for editorial board resources and as an online community, facilitating interaction and networking between the editorial board and the BMC series in-house team.

BMC Series blog

Highlights of the BMC Series: October 2018

12 November 2018
Breech birth at home: a new study of safety outcomes

09 November 2018
What is inside the head of the fossil predatory fish †Saurichthys?

08 November 2018

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BMC Bioinformatics

Get credit for your data

Call for papers: New Section in BMC Bioinformatics

Articles

The poly-omics of ageing through individual-based metabolic modelling

DNA sequences alignment in multi-GPUs: acceleration and energy payoff

Evaluating the impact of topological protein features on the negative examples selection

Deep learning architectures for prediction of nucleosome positioning from sequences data

Computational discovery of direct associations between GO terms and protein domains

QMachine: commodity supercomputing in web browsers

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

WGCNA: an R package for weighted correlation network analysis

A comparison of methods for differential expression analysis of RNA-seq data

Novel methods for secondary structure determination using low wavelength (VUV) circular dichroism spectroscopic data

Aims and scope

Editor

Section Editors

Lukasz Kurgan, Section Editor

Structural analysis

BMC Series Editorial Site

BMC Series blog

Highlights of the BMC Series: October 2018

Breech birth at home: a new study of safety outcomes

What is inside the head of the fossil predatory fish †Saurichthys?

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