Prabhav Kalaghatgi

Prabhav Kalaghatgi

Max-Planck-Institut für Informatik
Research Group Computational Biology

Campus E1 4
66123 Saarbrücken, Germany
email:   prabhavk@mpi-inf.mpg.de
phone:   +49 681 9325 3023
fax:   +49 681 9325 3099
room:   523 (Building E1 4)
2nd homepage:  https://www.molgen.mpg.de/person/100984/93994


  1. Knops E, Sierra S, Kalaghatgi P, Heger E, Kaiser R, Kalinina OV
    Epistatic Interactions in NS5A of Hepatitis C Virus Suggest Drug Resistance Mechanisms
    Genes, 2018, 9:343. [ journal ]

  2. Döring M, Büch J, Friedrich G, Pironti A, Kalaghatgi P, Knops E, Heger E, Obermeier M, Däumer M, Thielen A, Kaiser R, Lengauer T, Pfeifer N
    geno2pheno[ngs-freq]: a genotypic interpretation system for identifying viral drug resistance using next-generation sequencing data
    Nucleic Acids Research, 2018, 46:W271--W277. [ journal ]

  3. Palanisamy N, Kalaghatgi P, Akaberi D, Lundkvist Å, Chen ZW, Hu P, Lennerstrand J
    Worldwide prevalence of baseline resistance-associated polymorphisms and resistance mutations in HCV against current direct-acting antivirals
    Antiviral Therapy, 2018, doi:10.3851/IMP3237. [ journal ]

  4. Kalaghatgi P and Lengauer T.
    Computing phylogenetic trees using topologically related minimum spanning trees
    Journal of Graph Algorithms and Applications, 2017, 21(6):1003–25. [ journal ] [ arXiv ] [ source code ]

  5. Neogi U, Siddik A B, Kalaghatgi P, Gisslén M, Göran B, Marrone G, Sönnerborg A
    Recent increased identifcation and transmission of HIV-1 unique recombinant forms in Sweden
    Scientific Reports, 2017, 7:6371. [ journal ]

  6. Knops E, Schübel N, Heger E, Neumann-Fraune M, Kaiser R, Inden S, Kalaghatgi P, Sierra S
    HCV Resistance Profile Evolution in a GT1b, DAA-Naive Patient Before, On, and After Failing Triple DAA Therapy
    Clinical Gastroenterology and Hepatology, 2017, 15(2):307–9. [ journal ]

  7. Kalaghatgi P, Pfeifer N, Lengauer T
    Family-joining: A fast distance-based method for constructing generally labeled trees
    Molecular Biology and Evolution, 2016, 33(10): 2720–34. [ journal ] [ arXiv ] [ source code ]

  8. Kalaghatgi P, Sikorski AM, Knops E, Rupp D, Sierra S, Heger E, Neumann-Fraune M, Beggel B, Walker A, Timm J, Walter H, Obermeier M, Kaiser R, Lengauer T
    Geno2pheno[HCV] -- A Web-based Interpretation System to Support Hepatitis C Treatment Decisions in the Era of Direct-Acting Antiviral Agents
    PLoS ONE, 2016, 11(5):e0155869. [ journal ]

  9. Röttger R, Kalaghatgi P, Sun P, Soares Sde C, Azevedo V, Wittkop T, Baumbach J
    Density parameter estimation for finding clusters of homologous proteins—tracing actinobacterial pathogenicity lifestyles
    Bioinformatics 2013, 29(2):215–22. [ journal ]

  10. Pauling J, Röttger R, Neuner A, Salgado H, Collado-Vides J, Kalaghatgi P, Azevedo V, Tauch A, Pühler A, Baumbach J
    On the trail of EHEC/EAEC--unraveling the gene regulatory networks of human pathogenic Escherichia coli bacteria
    Journal of Integrative Biology 2012, 7:728–33. [ journal ]

  11. Schulte JH, Schowe B, Mestdagh P, Kaderali L, Kalaghatgi P, Schlierf S, Brockmeyer B, Pajtler K, Thor T, Preter KD, Speleman F, Morik K, Eggert A, Vandesompele J, Schramm A
    Accurate Prediction of Neuroblastoma Outcome based on miRNA Expression Profiles
    International Journal of Cancer 2010, 127(10): 2374–85. [ journal ]