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MAFcounter: an efficient tool for counting the occurrences of k-mers in MAF files.

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Title: MAFcounter: an efficient tool for counting the occurrences of k-mers in MAF files.
Authors: Patsakis M; Department of Biochemistry and Molecular Biology, Institute for Personalized Medicine, The Pennsylvania State University College of Medicine, Hershey, PA, USA.; Huck Institute of the Life Sciences, Pennsylvania State University, University Park, PA, USA., Provatas K; Department of Biochemistry and Molecular Biology, Institute for Personalized Medicine, The Pennsylvania State University College of Medicine, Hershey, PA, USA.; Huck Institute of the Life Sciences, Pennsylvania State University, University Park, PA, USA., Karatzikos A; Department of Biochemistry and Molecular Biology, Institute for Personalized Medicine, The Pennsylvania State University College of Medicine, Hershey, PA, USA.; Huck Institute of the Life Sciences, Pennsylvania State University, University Park, PA, USA., Koilakos C; Department of Biochemistry and Molecular Biology, Institute for Personalized Medicine, The Pennsylvania State University College of Medicine, Hershey, PA, USA.; Huck Institute of the Life Sciences, Pennsylvania State University, University Park, PA, USA., Mouratidis I; Department of Biochemistry and Molecular Biology, Institute for Personalized Medicine, The Pennsylvania State University College of Medicine, Hershey, PA, USA. ioannis.mouratidis@psu.edu.; Huck Institute of the Life Sciences, Pennsylvania State University, University Park, PA, USA. ioannis.mouratidis@psu.edu., Georgakopoulos-Soares I; Department of Biochemistry and Molecular Biology, Institute for Personalized Medicine, The Pennsylvania State University College of Medicine, Hershey, PA, USA. izg5139@psu.edu.; Huck Institute of the Life Sciences, Pennsylvania State University, University Park, PA, USA. izg5139@psu.edu.
Source: BMC bioinformatics [BMC Bioinformatics] 2025 May 30; Vol. 26 (1), pp. 142. Date of Electronic Publication: 2025 May 30.
Publication Type: Journal Article
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 100965194 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2105 (Electronic) Linking ISSN: 14712105 NLM ISO Abbreviation: BMC Bioinformatics Subsets: MEDLINE
Database: MEDLINE Ultimate
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