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Avik Datta
Researcher at Centre for Development of Advanced Computing
Publications - 4
Citations - 927
Avik Datta is an academic researcher from Centre for Development of Advanced Computing. The author has contributed to research in topics: Workflow & Protein function prediction. The author has an hindex of 3, co-authored 4 publications receiving 808 citations.
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Journal ArticleDOI
A large-scale evaluation of computational protein function prediction
Predrag Radivojac,Wyatt T. Clark,Tal Ronnen Oron,Alexandra M. Schnoes,Tobias Wittkop,Artem Sokolov,Artem Sokolov,Kiley Graim,Christopher S. Funk,Karin Verspoor,Asa Ben-Hur,Gaurav Pandey,Gaurav Pandey,Jeffrey M. Yunes,Ameet Talwalkar,Susanna Repo,Susanna Repo,Michael L Souza,Damiano Piovesan,Rita Casadio,Zheng Wang,Jianlin Cheng,Hai Fang,Julian Gough,Patrik Koskinen,Petri Törönen,Jussi Nokso-Koivisto,Liisa Holm,Domenico Cozzetto,Daniel W. A. Buchan,Kevin Bryson,David T. Jones,Bhakti Limaye,Harshal Inamdar,Avik Datta,Sunitha K Manjari,Rajendra Joshi,Meghana Chitale,Daisuke Kihara,Andreas Martin Lisewski,Serkan Erdin,Eric Venner,Olivier Lichtarge,Robert Rentzsch,Haixuan Yang,Alfonso E. Romero,Prajwal Bhat,Alberto Paccanaro,Tobias Hamp,Rebecca Kaßner,Stefan Seemayer,Esmeralda Vicedo,Christian Schaefer,Dominik Achten,Florian Auer,Ariane Boehm,Tatjana Braun,Maximilian Hecht,Mark Heron,Peter Hönigschmid,Thomas A. Hopf,Stefanie Kaufmann,Michael Kiening,Denis Krompass,Cedric Landerer,Yannick Mahlich,Manfred Roos,Jari Björne,Tapio Salakoski,Andrew Wong,Hagit Shatkay,Hagit Shatkay,Fanny Gatzmann,Ingolf Sommer,Mark N. Wass,Michael J.E. Sternberg,Nives Škunca,Fran Supek,Matko Bošnjak,Panče Panov,Sašo Džeroski,Tomislav Šmuc,Yiannis A. I. Kourmpetis,Yiannis A. I. Kourmpetis,Aalt D. J. van Dijk,Cajo J. F. ter Braak,Yuanpeng Zhou,Qingtian Gong,Xinran Dong,Weidong Tian,Marco Falda,Paolo Fontana,Enrico Lavezzo,Barbara Di Camillo,Stefano Toppo,Liang Lan,Nemanja Djuric,Yuhong Guo,Slobodan Vucetic,Amos Marc Bairoch,Amos Marc Bairoch,Michal Linial,Patricia C. Babbitt,Steven E. Brenner,Christine A. Orengo,Burkhard Rost,Sean D. Mooney,Iddo Friedberg +107 more
TL;DR: Today's best protein function prediction algorithms substantially outperform widely used first-generation methods, with large gains on all types of targets, and there is considerable need for improvement of currently available tools.
Journal ArticleDOI
Genome Sequences of Salmonella enterica Serovar Typhimurium, Choleraesuis, Dublin, and Gallinarum Strains of Well- Defined Virulence in Food-Producing Animals
Emily J Richardson,Bhakti Limaye,Harshal Inamdar,Avik Datta,K. Sunitha Manjari,Gillian D. Pullinger,Nicholas R. Thomson,Rajendra Joshi,Michael Watson,Mark P. Stevens +9 more
TL;DR: The genomes of serovar Typhimurium, Choleraesuis, Dublin, and Gallinarum strains of defined virulence in each of three food-producing animal hosts provide valuable measures of intraserovar diversity and opportunities to formally link genotypes to phenotypes in target animals.
Journal ArticleDOI
Anvaya: a workflows environment for automated genome analysis.
Bhakti Limaye,Ruma Banerjee,Avik Datta,Harshal Inamdar,Pankaj Vats,Sonal Dahale,Alok Bhandari,E. P. Ramakrishnan,Rajnikanth Tupakula,Sandeep Malviya,Avinash Bayaskar,Renu Gadhari,Sankalp Jain,Vivek Gavane,Rashmi Mahajan,K Sunitha,Rajendra Joshi +16 more
TL;DR: Anvaya provides a platform that serves as a single-stop solution for biologists to carry out hassle-free and comprehensive analysis, without being bothered about the nuances involved in tool installation, command line parameters, format conversions required to connect tools and manage/process multiple data sets at a single instance.
Journal ArticleDOI
Rule-based integration of RNA-Seq analyses tools for identification of novel transcripts.
TL;DR: An approach that integrates information from all above sources and simultaneously scrutinizes FPs to correctly identify authentic novel transcripts of high confidence is proposed.