Chakravarthi Kanduri

According to our database, Chakravarthi Kanduri authored at least 5 papers between 2017 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

The immuneML ecosystem for machine learning analysis of adaptive immune receptor repertoires.

Milena Pavlovic, Lonneke Scheffer, Keshav Motwani, Chakravarthi Kanduri, Radmila Kompova, Nikolay Vazov, Knut Waagan, Fabian L. M. Bernal, Alexandre Almeida Costa, Brian Corrie, Rahmad Akbar, Ghadi S. Al Hajj, Gabriel Balaban, Todd M. Brusko, Maria Chernigovskaya, Scott Christley, Lindsay G. Cowell, Robert Frank, Ivar Grytten, Sveinung Gundersen, Ingrid Hobæk Haff, Eivind Hovig, Ping-Han Hsieh, Günter Klambauer, Marieke L. Kuijjer, Christin Lund-Andersen, Antonio Martini, Thomas Minotto, Johan Pensar, Knut D. Rand, Enrico Riccardi, Philippe A. Robert, Artur Rocha, Andrei Slabodkin, Igor Snapkov, Ludvig M. Sollid, Dmytro Titov, Cédric R. Weber, Michael Widrich, Gur Yaari, Victor Greiff, Geir Kjetil Sandve

Nat. Mach. Intell., 2021

2019

Colocalization analyses of genomic elements: approaches, recommendations and challenges.

Chakravarthi Kanduri, Christoph Bock, Sveinung Gundersen, Eivind Hovig, Geir Kjetil Sandve

Bioinform., 2019

2018

Coloc-stats: a unified web interface to perform colocalization analysis of genomic features.

Boris Simovski, Chakravarthi Kanduri, Sveinung Gundersen, Dmytro Titov, Diana Domanska, Christoph Bock, Lara Bossini-Castillo, Maria Chikina, Alexander V. Favorov, Ryan M. Layer, Andrey A. Mironov, Aaron R. Quinlan, Nathan C. Sheffield, Gosia Trynka, Geir Kjetil Sandve

Nucleic Acids Res., 2018

Mind the gaps: overlooking inaccessible regions confounds statistical testing in genome analysis.

Diana Domanska, Chakravarthi Kanduri, Boris Simovski, Geir Kjetil Sandve

BMC Bioinform., 2018

2017

GenRank: a R/Bioconductor package for prioritization of candidate genes.

Chakravarthi Kanduri, Irma Järvelä

F1000Research, 2017