Current Protocols in Bioinformatics

Aims & Scope

Sound and reproducible laboratory methods are the foundation of scientific discovery.

Yet, all too often, nuances that are critical for an experiment’s success are not captured in the primary literature but exist only as part of a lab’s oral tradition.

The aim of each Current Protocols title is to provide the clearest, most detailed and reliable step-by-step instructions for all protocols relevant to a given subject area.

Written by experts in the field and extensively edited to our exacting standards, the protocols include all of the information necessary to complete an experiment in the laboratory—introduction, resources lists, detailed step-by-step procedures with helpful annotations, illustrative figures and information-packed tables.

Each article also provides invaluable discussions of background information, applications of the methods, important assumptions, key parameters, time considerations, and tips to help avoid common pitfalls and troubleshoot experiments.

Furthermore, Current Protocols content is thoughtfully organized by topic for optimal usage and to maximize contextual knowledge.

Quarterly issues allow Current Protocols in Bioinformatics to constantly evolve to keep pace with the newest discoveries and developments.

Current Protocols in Bioinformatics is the comprehensive resource for all types of protocols in bioinformatics, enabling the life scientist to become "fluent" in bioinformatics and master the exciting new frontiers opened up by the advent of large-scale, genome-wide, high-throughput technologies.

Abstracting & Indexing

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

• Scopus
• Google Scholar

Subjects & Keywords

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

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.

• From FastQ Data to High‐Confidence Variant Calls: The Genome Analysis Toolkit Best Practices Pipeline

  Citation: 3998

  Authors: Geraldine A., Mauricio O., Christopher, Ryan, Guillermo, Ami, Tadeusz, Khalid, David, Joel, Eric, Kiran V., David, Stacey, Mark A.

• The GeneCards Suite: From Gene Data Mining to Disease Genome Sequence Analyses

  Citation: 3585

  Authors: Gil, Naomi, Inbar, Shahar, Michal, Simon, Tsippi Iny, Ron, Iris, Yaron, Sergey, Dvir, David, Yaron, Asher, Noa, Marilyn, Doron

• Comparative Protein Structure Modeling Using MODELLER

  Citation: 2646

  Authors: Benjamin, Andrej

• Using SPAdes De Novo Assembler

  Citation: 2418

  Authors: Andrey, Dmitry, Dmitry, Alla, Anton

• BEDTools: The Swiss‐Army Tool for Genome Feature Analysis

  Citation: 1921

  Authors: Aaron R.

• Using MetaboAnalyst 4.0 for Comprehensive and Integrative Metabolomics Data Analysis

  Citation: 1835

  Authors: Jasmine, David S., Jianguo

• Comparative Protein Structure Modeling Using Modeller

  Citation: 1687

  Authors: Narayanan, Ben, Marc A., M.S., David, Min‐yi, Ursula, Andrej

• Using RepeatMasker to Identify Repetitive Elements in Genomic Sequences

  Citation: 1605

  Authors: Maja, Nansheng

• Multiple Sequence Alignment Using ClustalW and ClustalX

  Citation: 1275

  Authors: Julie D., Toby. J., Des G.

• Using MetaboAnalyst 3.0 for Comprehensive Metabolomics Data Analysis

  Citation: 1152

  Authors: Jianguo, David S.