BMC Bioinformatics

Collections open to submissions

RNA-seq data analysis

Guest edited by Eduardo Andrés-León and Xiangtao Li

Bioinformatics and chemoinformatics in drug discovery

Guest edited by George M Spyrou and Vetrivel Umashankar

3D genomics

Guest edited by Stefano Lonardi and Oluwatosin Oluwadare

Click here for all journal collections

Editor's Picks

NeuronBridge: an intuitive web application for neuronal morphology search across large data sets

New Content Item © © faraktinov / stock.adobe.com Cell4D: a general purpose spatial stochastic simulator for cellular pathways

MoAGL-SA: a multi-omics adaptive integration method with graph learning and self attention for cancer subtype classification

Authors: Lei Cheng, Qian Huang, Zhengqun Zhu, Yanan Li, Shuguang Ge, Longzhen Zhang and Ping Gong

Content type: Research 23 November 2024
PIPETS: a statistically informed, gene-annotation agnostic analysis method to study bacterial termination using 3′-end sequencing

Authors: Quinlan Furumo and Michelle M. Meyer

Content type: Software 23 November 2024
ClassifieR 2.0: expanding interactive gene expression-based stratification to prostate and high-grade serous ovarian cancer

Authors: Aideen McCabe, Gerard P. Quinn, Suneil Jain, Micheál Ó Dálaigh, Kellie Dean, Ross G. Murphy and Simon S. McDade

Content type: Software 21 November 2024
Drug–target interaction prediction by integrating heterogeneous information with mutual attention network

Authors: Yuanyuan Zhang, Yingdong Wang, Chaoyong Wu, Lingmin Zhan, Aoyi Wang, Caiping Cheng, Jinzhong Zhao, Wuxia Zhang, Jianxin Chen and Peng Li

Content type: Research 19 November 2024
Deep-m5U: a deep learning-based approach for RNA 5-methyluridine modification prediction using optimized feature integration

Authors: Sumaiya Noor, Afshan Naseem, Hamid Hussain Awan, Wasiq Aslam, Salman Khan, Salman A. AlQahtani and Nijad Ahmad

Content type: Research 19 November 2024

Most recent articles RSS

View all articles

QMachine: commodity supercomputing in web browsers

Authors: Sean R Wilkinson and Jonas S Almeida

Content type: Research article 9 June 2014
WGCNA: an R package for weighted correlation network analysis

Authors: Peter Langfelder and Steve Horvath

Content type: Software 29 December 2008
Comprehensive evaluation of RNA-seq quantification methods for linearity

Authors: Haijing Jin, Ying-Wooi Wan and Zhandong Liu

Content type: Research 22 March 2017
RSEM: accurate transcript quantification from RNA-Seq data with or without a reference genome

Authors: Bo Li and Colin N Dewey

Content type: Software 4 August 2011

The Related Article to this article has been published in Nature Protocols 2013 8:nprot.2013.084
Statistical analysis of real-time PCR data

Authors: Joshua S Yuan, Ann Reed, Feng Chen and C Neal Stewart Jr

Content type: Methodology article 22 February 2006

Most accessed articles RSS

View all articles

Aims and scope

BMC Bioinformatics is an open access, peer-reviewed journal that considers articles describing novel computational algorithms and software, models and tools, including statistical methods, machine learning and artificial intelligence, as well as systems biology.

Become an Editorial Board Member

We are recruiting new Editorial Board Members.

Featured blog

New Content Item

Peer Review Week 2023: Views on the future of code peer review

Spotlight On

Climate Change

Understanding the impact of climate change and exploring potential solutions to this global threat is more important than ever. Here we share recent highlights from the BMC Series journals.

Latest Tweets

View Twitter timeline

Your browser needs to have JavaScript enabled to view this timeline

How was your experience today?

Rating Please select one rating

Awful

Bad

Good

Great

Thank you for your feedback.

Tell us why (opens in a new tab)

BMC Bioinformatics

Collections open to submissions

RNA-seq data analysis

Bioinformatics and chemoinformatics in drug discovery

3D genomics

Editor's Picks

Articles

MoAGL-SA: a multi-omics adaptive integration method with graph learning and self attention for cancer subtype classification

PIPETS: a statistically informed, gene-annotation agnostic analysis method to study bacterial termination using 3′-end sequencing

ClassifieR 2.0: expanding interactive gene expression-based stratification to prostate and high-grade serous ovarian cancer

Drug–target interaction prediction by integrating heterogeneous information with mutual attention network

Deep-m5U: a deep learning-based approach for RNA 5-methyluridine modification prediction using optimized feature integration

QMachine: commodity supercomputing in web browsers

WGCNA: an R package for weighted correlation network analysis

Comprehensive evaluation of RNA-seq quantification methods for linearity

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

Statistical analysis of real-time PCR data

Aims and scope

Become an Editorial Board Member

Featured blog

Spotlight On

Climate Change

Latest Tweets

Important information

Annual Journal Metrics

Follow

BMC Bioinformatics

Contact us