Journal of Bioinformatics and Computational Biology

Aims & Scope

The Journal of Bioinformatics and Computational Biology aims to publish high quality, original research articles, expository tutorial papers and review papers as well as short, critical comments on technical issues associated with the analysis of cellular information.

The research papers will be technical presentations of new assertions, discoveries and tools, intended for a narrower specialist community.

The tutorials, reviews and critical commentary will be targeted at a broader readership of biologists who are interested in using computers but are not knowledgeable about scientific computing, and equally, computer scientists who have an interest in biology but are not familiar with current thrusts nor the language of biology.

Such carefully chosen tutorials and articles should greatly accelerate the rate of entry of these new creative scientists into the field.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2024	0.90

Journal Rank

Year	Value
2024	19364

Journal Citation Indicator

Year	Value
2024	134

SJR (SCImago Journal Rank)

Year	Value
2024	0.234

Quartile

Year	Value
2024	Q4

h-index

Year	Value
2024	49

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science
• Medline

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Biochemistry, Genetics and Molecular Biology and Computer Science, designed to support cutting-edge academic discovery.

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Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• MINIMUM REDUNDANCY FEATURE SELECTION FROM MICROARRAY GENE EXPRESSION DATA

  Citation: 1932

  Authors: CHRIS, HANCHUAN

• OPTIMIZING LONG INTRINSIC DISORDER PREDICTORS WITH PROTEIN EVOLUTIONARY INFORMATION

  Citation: 442

  Authors: KANG, SLOBODAN, PREDRAG, CELESTE J., A. KEITH, ZORAN

• NOISE-ROBUST SOFT CLUSTERING OF GENE EXPRESSION TIME-COURSE DATA

  Citation: 433

  Authors: MATTHIAS E., BRONWYN

• RAPTOR: OPTIMAL PROTEIN THREADING BY LINEAR PROGRAMMING

  Citation: 199

  Authors: JINBO, MING, DONGSUP, YING

• SPIDER: SOFTWARE FOR PROTEIN IDENTIFICATION FROM SEQUENCE TAGS WITH <i>DE NOVO</i> SEQUENCING ERROR

  Citation: 188

  Authors: YONGHUA, BIN, KAIZHONG

• DIZZY: STOCHASTIC SIMULATION OF LARGE-SCALE GENETIC REGULATORY NETWORKS

  Citation: 180

  Authors: STEPHEN, DAVID, HAMID

• PATTERNHUNTER II: HIGHLY SENSITIVE AND FAST HOMOLOGY SEARCH

  Citation: 161

  Authors: MING, BIN, DEREK, JOHN

• Application of t-SNE to human genetic data

  Citation: 155

  Authors: Wentian, Jane E., Yaning, Henry

• VOLCANO PLOTS IN ANALYZING DIFFERENTIAL EXPRESSIONS WITH mRNA MICROARRAYS

  Citation: 154

  Authors: WENTIAN

• OPTIMAL, EFFICIENT RECONSTRUCTION OF PHYLOGENETIC NETWORKS WITH CONSTRAINED RECOMBINATION

  Citation: 137

  Authors: DAN, SATISH, CHARLES

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