BMC BIOINFORMATICS
ISSN:1471-2105

BMC BIOINFORMATICS

BMC BIOINFORMATICS
学科领域:生物学
是否预警:不在预警名单内
是否OA:
录用周期:约2.8个月
新锐分区:生物学3区
年发文量:383
影响因子:3.3
JCR分区:Q1

基本信息

BMC Bioinformatics是一个开放存取、同行评审的期刊,它考虑了关于各种生物数据建模和分析的计算和统计方法的开发、测试和新应用的所有方面的文章,以及计算生物学的其他领域。BMC生物信息学是BMC系列的一部分,该系列出版主题-专门的期刊关注生物学和医学各个领域的个别研究团体的需要。我们提供高效、公平和友好的同行评审服务,并致力于出版所有可靠的科学,前提是该工作所呈现的知识有一定的进步。
1471-2105SCIE/Scopus收录/DOAJ开放期刊
3.3
4.2
2026年3月发布
点击查看历史分区趋势    >
大类学科小类学科Top期刊综述期刊
生物学3区
BIOCHEMICAL RESEARCH METHODS 生化研究方法
3区
BIOTECHNOLOGY & APPLIED MICROBIOLOGY 生物工程与应用微生物
3区
MATHEMATICAL & COMPUTATIONAL BIOLOGY 数学与计算生物学
2区
N/A
WOS期刊SCI分区  2024-2025最新升级版
按JIF指标学科分区收集子录JIF分区JIF排名百分位
学科:BIOCHEMICAL RESEARCH METHODS
SCIE
Q2
29/86
学科:BIOTECHNOLOGY & APPLIED MICROBIOLOGY
SCIE
Q2
72/177
学科:MATHEMATICAL & COMPUTATIONAL BIOLOGY
SCIE
Q1
15/67
按JCR指标学科分区收集子录JCR分区JCR排名百分位
学科:BIOCHEMICAL RESEARCH METHODS
SCIE
Q2
27/86
学科:BIOTECHNOLOGY & APPLIED MICROBIOLOGY
SCIE
Q2
49/177
学科:MATHEMATICAL & COMPUTATIONAL BIOLOGY
SCIE
Q1
16/67
183
383
17%约50%约2.8个月GBP2090; USD2890; EUR2390生物-生化研究方法
3%
时间预警情况
2026年03月发布的新锐学术版不在预警名单中
2025年03月发布的2025版不在预警名单中
2024年02月发布的2024版不在预警名单中
2023年01月发布的2023版不在预警名单中
2021年12月发布的2021版不在预警名单中
2020年12月发布的2020版不在预警名单中
99.48%100%2.58%
CiteScore:6.80
SJR:1.190
SNIP:1.024
学科类别分区排名百分位
大类:Mathematics
小类:Applied Mathematics
Q1
50 / 665
大类:Mathematics
小类:Computer Science Applications
Q1
233 / 947
大类:Mathematics
小类:Structural Biology
Q2
13 / 49
大类:Mathematics
小类:Biochemistry
Q2
144 / 441
大类:Mathematics
小类:Molecular Biology
Q2
160 / 410

期刊高被引文献

A new fruit fly optimization algorithm enhanced support vector machine for diagnosis of breast cancer based on high-level features
来源期刊:BMC BioinformaticsDOI:10.1186/s12859-019-2771-z
DeepEP: a deep learning framework for identifying essential proteins
来源期刊:BMC BioinformaticsDOI:10.1186/s12859-019-3076-y
pwrEWAS: a user-friendly tool for comprehensive power estimation for epigenome wide association studies (EWAS)
来源期刊:BMC BioinformaticsDOI:10.1186/s12859-019-2804-7
Integration of transcriptomic data in a genome-scale metabolic model to investigate the link between obesity and breast cancer
来源期刊:BMC BioinformaticsDOI:10.1186/s12859-019-2685-9
A protocol to evaluate RNA sequencing normalization methods
来源期刊:BMC BioinformaticsDOI:10.1186/s12859-019-3247-x
Genomic prediction of tuberculosis drug-resistance: benchmarking existing databases and prediction algorithms
来源期刊:BMC BioinformaticsDOI:10.1186/s12859-019-2658-z
metamicrobiomeR: an R package for analysis of microbiome relative abundance data using zero-inflated beta GAMLSS and meta-analysis across studies using random effects models
来源期刊:BMC BioinformaticsDOI:10.1186/s12859-019-2744-2
CAGEfightR: analysis of 5′-end data using R/Bioconductor
来源期刊:BMC BioinformaticsDOI:10.1186/s12859-019-3029-5
A linear delay algorithm for enumerating all connected induced subgraphs
来源期刊:BMC BioinformaticsDOI:10.1186/s12859-019-2837-y
sim1000G: a user-friendly genetic variant simulator in R for unrelated individuals and family-based designs
来源期刊:BMC BioinformaticsDOI:10.1186/s12859-019-2611-1
InTAD: chromosome conformation guided analysis of enhancer target genes
来源期刊:BMC BioinformaticsDOI:10.1186/s12859-019-2655-2
Visualization methods for differential expression analysis
来源期刊:BMC BioinformaticsDOI:10.1186/s12859-019-2968-1
M3S: a comprehensive model selection for multi-modal single-cell RNA sequencing data
来源期刊:BMC BioinformaticsDOI:10.1186/s12859-019-3243-1
3-Dimensional facial expression recognition in human using multi-points warping
来源期刊:BMC BioinformaticsDOI:10.1186/s12859-019-3153-2
Read-SpaM: assembly-free and alignment-free comparison of bacterial genomes with low sequencing coverage
来源期刊:BMC BioinformaticsDOI:10.1186/s12859-019-3205-7
A hybrid self-attention deep learning framework for multivariate sleep stage classification
来源期刊:BMC BioinformaticsDOI:10.1186/s12859-019-3075-z
Investigating skewness to understand gene expression heterogeneity in large patient cohorts
来源期刊:BMC BioinformaticsDOI:10.1186/s12859-019-3252-0
DDIGIP: predicting drug-drug interactions based on Gaussian interaction profile kernels
来源期刊:BMC BioinformaticsDOI:10.1186/s12859-019-3093-x
A pan-cancer somatic mutation embedding using autoencoders
来源期刊:BMC BioinformaticsDOI:10.1186/s12859-019-3298-z
Glycosylator: a Python framework for the rapid modeling of glycans
来源期刊:BMC BioinformaticsDOI:10.1186/s12859-019-3097-6
Biological representation of chemicals using latent target interaction profile
来源期刊:BMC BioinformaticsDOI:10.1186/s12859-019-3241-3
DEEPSEN: a convolutional neural network based method for super-enhancer prediction
来源期刊:BMC BioinformaticsDOI:10.1186/s12859-019-3180-z
The MultiOmics Explainer: explaining omics results in the context of a pathway/genome database
来源期刊:BMC BioinformaticsDOI:10.1186/s12859-019-2971-6
Incorporating genetic networks into case-control association studies with high-dimensional DNA methylation data
来源期刊:BMC BioinformaticsDOI:10.1186/s12859-019-3040-x
VarSight: prioritizing clinically reported variants with binary classification algorithms
来源期刊:BMC BioinformaticsDOI:10.1186/s12859-019-3026-8
A disease-related gene mining method based on weakly supervised learning model
来源期刊:BMC BioinformaticsDOI:10.1186/s12859-019-3078-9
BISR-RNAseq: an efficient and scalable RNAseq analysis workflow with interactive report generation
来源期刊:BMC BioinformaticsDOI:10.1186/s12859-019-3251-1
Biomedical word sense disambiguation with bidirectional long short-term memory and attention-based neural networks
来源期刊:BMC BioinformaticsDOI:10.1186/s12859-019-3079-8
Virtual Grid Engine: a simulated grid engine environment for large-scale supercomputers
来源期刊:BMC BioinformaticsDOI:10.1186/s12859-019-3085-x
Statistical modeling of STR capillary electrophoresis signal
来源期刊:BMC BioinformaticsDOI:10.1186/s12859-019-3074-0
A likelihood ratio test for changes in homeolog expression bias
来源期刊:BMC BioinformaticsDOI:10.1186/s12859-019-2709-5
Pairwise efficiency: a new mathematical approach to qPCR data analysis increases the precision of the calibration curve assay
来源期刊:BMC BioinformaticsDOI:10.1186/s12859-019-2911-5
Mild cognitive impairment understanding: an empirical study by data-driven approach
来源期刊:BMC BioinformaticsDOI:10.1186/s12859-019-3057-1
CellSim: a novel software to calculate cell similarity and identify their co-regulation networks
来源期刊:BMC BioinformaticsDOI:10.1186/s12859-019-2699-3
Metabolic characterization of the chitinolytic bacterium Serratia marcescens using a genome-scale metabolic model
来源期刊:BMC BioinformaticsDOI:10.1186/s12859-019-2826-1
CSA: a web service for the complete process of ChIP-Seq analysis
来源期刊:BMC BioinformaticsDOI:10.1186/s12859-019-3090-0
Predicting rice blast disease: machine learning versus process-based models
来源期刊:BMC BioinformaticsDOI:10.1186/s12859-019-3065-1
Drug repositioning based on individual bi-random walks on a heterogeneous network
来源期刊:BMC BioinformaticsDOI:10.1186/s12859-019-3117-6
Multiple-level biomedical event trigger recognition with transfer learning
来源期刊:BMC BioinformaticsDOI:10.1186/s12859-019-3030-z
NITPicker: selecting time points for follow-up experiments
来源期刊:BMC BioinformaticsDOI:10.1186/s12859-019-2717-5
SigUNet: signal peptide recognition based on semantic segmentation
来源期刊:BMC BioinformaticsDOI:10.1186/s12859-019-3245-z
NanoDJ: a Dockerized Jupyter notebook for interactive Oxford Nanopore MinION sequence manipulation and genome assembly
来源期刊:BMC BioinformaticsDOI:10.1186/s12859-019-2860-z
SDA: a semi-parametric differential abundance analysis method for metabolomics and proteomics data
来源期刊:BMC BioinformaticsDOI:10.1186/s12859-019-3067-z
Soybean-VCF2Genomes: a database to identify the closest accession in soybean germplasm collection
来源期刊:BMC BioinformaticsDOI:10.1186/s12859-019-2859-5
Integrating protein localization with automated signaling pathway reconstruction
来源期刊:BMC BioinformaticsDOI:10.1186/s12859-019-3077-x
Correction to: Towards pixel-to-pixel deep nucleus detection in microscopy images
来源期刊:BMC BioinformaticsDOI:10.1186/s12859-019-3133-6
Replicability analysis in genome-wide association studies via Cartesian hidden Markov models
来源期刊:BMC BioinformaticsDOI:10.1186/s12859-019-2707-7
Pathogenic Protist Transmembranome database (PPTdb): a web-based platform for searching and analysis of protist transmembrane proteins
来源期刊:BMC BioinformaticsDOI:10.1186/s12859-019-2857-7
The International Conference on Intelligent Biology and Medicine (ICIBM) 2019: bioinformatics methods and applications for human diseases
来源期刊:BMC BioinformaticsDOI:10.1186/s12859-019-3240-4
mycelyso – high-throughput analysis of Streptomyces mycelium live cell imaging data
来源期刊:BMC BioinformaticsDOI:10.1186/s12859-019-3004-1

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