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International Journal of Bioinformatics and Computational Biology Cover

International Journal of Bioinformatics and Computational Biology

E-ISSN: 2583-9977 | Peer-Reviewed Journal (Refereed Journal) | Hybrid Open Access

About the Journal

International Journal of Bioinformatics and Computational Biology [2583-9977] is a peer-reviewed hybrid open-access journal launched in 2023 concerning recent advancements and emerging technology in computational biology and bioinformatics. Journal also covers a wide range of topics including synthetic biology and … structural genomics. Journal publishes both experimental and theoretical papers.

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Journal Metrics

Key performance indicators showcasing our journal’s impact and reach

41

Published Articles (2024)

69.47

Days Acceptance Time

106.66

Day Publication Time

—

Total Visits

Journal Information

Title: International Journal of Bioinformatics and Computational Biology
Abbreviation: ijbcb
Issues Per Year: 2 Issues
E-ISSN: 2583-9977
Publisher: STM Journals, An imprint of Consortium e-Learning Network Pvt. Ltd.
DOI: 10.37591/IJBCB
Starting Year: 2021
Subject: Bioinformatics and Computational Biology
Publication Format: Hybrid Open Access
Language: English
Copyright Policy: CC BY-NC-ND
Type: Peer-reviewed Journal (Refereed Journal)

Address:

STM Journals, An imprint of Consortium e-Learning Network Pvt. Ltd. A-118, 1st Floor, Sector-63, Noida, U.P. India, Pin - 201301

Editorial Board

View Full Editorial Board

ijbcb maintains an Editorial Board of practicing researchers from around the world, to ensure manuscripts are handled by editors who are experts in the field of study.

Editor in Chief

Editor

Dr. Ao Yuan, Professor

Georgetown University, Washington, DC, USA,

Email :

Latest Articles

Ahead of Print

A Novel WPFM-Transformer Framework for DNA Sequence Classification using FASTA Data

The identification of genetic variants, tracing of disease-associated mutations, and the reconstruction of evolutionary relationships from raw sequence data are all achieved by the analysis of DNA sequence.

DNA Sequence Analysis, FASTA Format, Machine Learning, Transformer, WPFM, Bioinformatics.

Predicting Cardiovascular Disease Risk Using Machine Learning: A Comprehensive Review

Cardiovascular diseases (CVDs) are the prevalent morbid and fatal conditions worldwide. Repetition is key to stopping these diseases before they start and before they appear.

cardiovascular diseases (CVDs), Machine learning (ML), Data analytics

Privacy-by-Design in Modern Data Science: A Systematic Review of Differential Privacy and Federated Analytics

Okay so here is a problem that has been bothering us for a while. Everyone talks about how data is the new oil, how data-driven decisions are transforming healthcare, finance, governance, all of it. And that is true.

Privacy-by-Design, Differential Privacy, Federated Analytics, Federated Learning, Data Protection, GDPR, DPDP Act, k-Anonymity, Data Science, Privacy-Preserving Machine Learning

Improving Reliability of Deep Learning System Under Distribution Shift Via Feature-Space Out-of-Distribution Detection

Deep learning systems achieve strong predictive performance under independently and identically distributed conditions; however, their reliability can decline significantly when exposed to distribution shifts during deployment.

Distribution shift, out-of-distribution detection, feature representation, reliability, representation learning, robustness

Bioinformatics and Medicine: Bringing Data to the Bedside

From being an empirical and experience-based practice, modern medicine has transformed into a codified and research-based discipline, known as Evidence-Based Medicine (EBM).

Modern medicine, evidence-based medicine, personalized precision medicine, clinical bioinformatics

GenChrome-ML: A Machine Learning Framework for Early Detection of Chromosomal Disorders Using Genomic Data

The increasing burden of chronic disease and cancer demands innovative, more rapid and effective diagnostic tools in the field of healthcare.

Artificial Intelligence, Chromosomal Abnormality Detection, Predictive Analytics, Multimodal Biomedical Data Integration, Machine Learning Algorithms, Early Genetic Disorder Diagnosis.
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