Blast Algorithm

The Blast algorithm is a powerful bioinformatics tool used to search for similarities among nucleotide or protein sequences. It is a heuristic algorithm that rapidly compares entire nucleotide or protein sequences in order to identify similar regions. This is an important tool for developing novel treatments for disease and has revolutionised the way we look at and analyse genetic data. The algorithm has been applied to many areas of research including sequence alignment, drug discovery and identification of gene variants. The Blast algorithm has become the go-to tool for evolutionary and comparative biology, and its use continues to grow due to its accuracy and speed.

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Related Articles

12 article(s) found
Nature Inspired Bargain Optimization Algorithm for Effective Interpretation of Geoelectrical Data
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Delayed Diagnosis of Glioblastoma due to Recent Ruptured Aneurysm. A Case Report.
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Molecular Cytogenetic Investigations in a Novel Chromosomal Abnormality of t(10;15)(q22;q22) in a Pediatric Precursor-B-Acute Lymphoblastic Leukemia Patient
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Newly-Detected Solitary Bony Lytic/Sclerotic Lesion with Soft Tissue Mass in a Previously Treated Case of High-Risk Medulloblastoma: Importance of Contemporary Pathology Techniques to Differentiate Second Malignant Neoplasm from Extra-Neuraxial Metastasis 
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Radical-Scavenging and Anti-Oxidative Activities of TBN in Cell-Free System and Murine H9c2 Cardiomyoblast Cells
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Human Umbilical Cord-Derived Mesenchymal Stem Cells as a Source of Odontoblasts: a GMP-compliant Approach
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Assessment of Biofield Energy Healing Based Vitamin D3 Effects on Bone Health Parameters Using Human Osteoblast Cell Line (MG-63)
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Study of The ID3 and C4.5 Learning Algorithms
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Genetic Algorithm Coupled with Neural Networks to Guesstimate the Subsurface Features of the Earth
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An Algorithm to Predict the Possible SARS-CoV-2 Mutations
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Evaluation of A Nutrition Feeding Algorithm for Children and Adolescents Undergoing Haematopoietic Stem Cell Transplantation (HSCT)
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Sophomoric and Skeletal-Chondroblastoma
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