Bmc Bioinformatics
Overview
BMC Bioinformatics is a peer-reviewed open-access journal that publishes cutting-edge research in the field of computational biology and bioinformatics. It covers a wide range of topics including algorithms, databases, machine learning, and statistical methods applied to biological data analysis. The journal aims to foster collaboration and innovation in this rapidly evolving field, providing a platform for researchers to share their findings and advancements in bioinformatics.
Details
Details
Abbr.
BMC Bioinformatics
Publisher
Biomed Central
Start
2000
End
Continuing
e-ISSN
1471-2105
Country
United Kingdom
Language
English
Specialty
Biology
Metrics
Metrics
h-index / Ranks: 410
242
SJR / Ranks: 3788
1005
CiteScore / Ranks: 3626
6.20
JIF / Ranks: 3481
3.0
Recent Articles
1.
Gnanaolivu R, Oliver G, Jenkinson G, Blake E, Chen W, Chia N, et al.
BMC Bioinformatics
. 2025 Mar;
26(1):82.
PMID: 40087567
Background: Diagnosing Mendelian and rare genetic conditions requires identifying phenotype-associated genetic findings and prioritizing likely disease-causing genes. This task is labor-intensive for molecular and clinical geneticists, who must review extensive...
2.
Gohl P, Oliva B
BMC Bioinformatics
. 2025 Mar;
26(1):81.
PMID: 40065237
Background: Mutations in non-coding regulatory regions of DNA may lead to disease through the disruption of transcription factor binding. However, our understanding of binding patterns of transcription factors and the...
3.
Zhao H, Xu H, Wang T, Liu G
BMC Bioinformatics
. 2025 Mar;
26(1):80.
PMID: 40059137
Background: Predicting and studying essential proteins not only helps to understand the fundamental requirements for cell survival and growth regulation mechanisms but also deepens our understanding of disease mechanisms and...
4.
Lindner J, Dassa B, Wigoda N, Stelzer G, Feldmesser E, Prilusky J, et al.
BMC Bioinformatics
. 2025 Mar;
26(1):79.
PMID: 40055635
Background: The emergence of next-generation sequencing (NGS) marked a revolution in biological research, enabling comprehensive characterization of the transcriptome and detailed analysis of the epigenome landscape. This technology has made...
5.
Zahin T, Abrar M, Jewel M, Tasnim T, Bayzid M, Rahman A
BMC Bioinformatics
. 2025 Mar;
26(1):77.
PMID: 40055594
Background: While alignment has traditionally been the primary approach for establishing homology prior to phylogenetic inference, alignment-free methods offer a simplified alternative, particularly beneficial when handling genome-wide data involving long...
6.
Zhang E, Coombe L, Wong J, Warren R, Birol I
BMC Bioinformatics
. 2025 Mar;
26(1):78.
PMID: 40055584
Background: Advanced long-read sequencing technologies, such as those from Oxford Nanopore Technologies and Pacific Biosciences, are finding a wide use in de novo genome sequencing projects. However, long reads typically...
7.
Kim K, Won S
BMC Bioinformatics
. 2025 Mar;
26(1):75.
PMID: 40050732
Background: The effects of microbiota on the host phenotypes can differ substantially depending on their age. Longitudinally measured microbiome data allow for the detection of the age modification effect and...
8.
Seamann A, Bennett-Boehm M, Ehrlich R, Gil A, Selin L, Ghersi D
BMC Bioinformatics
. 2025 Mar;
26(1):76.
PMID: 40050726
Background: The scarcity of available structural data makes characterizing the binding of T-cell receptors (TCRs) to peptide-Major Histocompatibility Complexes (pMHCs) very challenging. The recent surge in sequencing data makes TCRs...
9.
Agyapong D, Propster J, Marks J, Hocking T
BMC Bioinformatics
. 2025 Mar;
26(1):74.
PMID: 40045231
Background: Microorganisms are found in almost every environment, including soil, water, air and inside other organisms, such as animals and plants. While some microorganisms cause diseases, most of them help...
10.
Tao Y, Ge S
BMC Bioinformatics
. 2025 Mar;
26(1):73.
PMID: 40045218
Background: The Mapper algorithm is an essential tool for exploring the data shape in topological data analysis. With a dataset as an input, the Mapper algorithm outputs a graph representing...