World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
40
Citations
15241
World Ranking
9029
National Ranking
3836

Research.com Recognitions

  • 2020 - ACM Fellow For contributions to parallel methods in computational biology and leadership in data science
  • 2020 - SIAM Fellow For contributions to sequential and parallel discrete algorithms in computational genomics, and leadership in data science and engineering.
  • 2017 - ACM Distinguished Member
  • 2010 - IEEE Fellow For contributions to computational biology
  • 2010 - Fellow of the American Association for the Advancement of Science (AAAS)

Overview

Srinivas Aluru is affiliated with the Georgia Institute of Technology in the United States. Their research primarily spans the field of Biochemistry, Genetics and Molecular Biology with a focus on Molecular Biology, Artificial Intelligence, Genetics, Computational Mathematics, and Cancer Research as subfields.

Their work covers several main topics including:

  • Genomics and Phylogenetic Studies
  • Single-cell and spatial transcriptomics
  • Algorithms and Data Compression
  • Gene expression and cancer classification
  • Gene Regulatory Network Analysis
  • DNA and Biological Computing
  • Bioinformatics and Genomic Networks

Srinivas Aluru has published research in frequent venues such as:

  • Bioinformatics
  • Journal of Computational Biology
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Zenodo (CERN European Organization for Nuclear Research)
  • arXiv (Cornell University)

Recent notable papers include:

  • Fast alignment and preprocessing of chromatin profiles with Chromap, 2021, Nature Communications
  • A comprehensive evaluation of long read error correction methods, 2020, BMC Genomics
  • Real-time mapping of nanopore raw signals, 2021, Bioinformatics
  • Reply to: "Re-evaluating the evidence for a universal genetic boundary among microbial species", 2021, Nature Communications
  • On the Complexity of Sequence-to-Graph Alignment, 2020, Journal of Computational Biology

Collaborators frequently working with Srinivas Aluru include:

  • Sriram P. Chockalingam
  • Maneesha Aluru
  • Haowen Zhang
  • Harsh Shrivastava
  • Sharma V. Thankachan

Srinivas Aluru has received several distinctions, including:

  • SIAM Fellow (2020) for contributions to sequential and parallel discrete algorithms in computational genomics, and leadership in data science and engineering
  • ACM Fellow (2020) for contributions to parallel methods in computational biology and leadership in data science
  • ACM Distinguished Member (2017)
  • IEEE Fellow (2010) for contributions to computational biology
  • Fellow of the American Association for the Advancement of Science (AAAS) (2010)

Best Publications

  • Efficient Architecture-Aware Acceleration of BWA-MEM for Multicore Systems

    Vasimuddin;Sanchit Misra;Heng Li;Srinivas Aluru

  • A brassinosteroid transcriptional network revealed by genome-wide identification of BESI target genes in Arabidopsis thaliana.

    Xiaofei Yu;Lei Li;Jaroslaw Zola;Maneesha Aluru

  • Space efficient linear time construction of suffix arrays

    Pang Ko;Srinivas Aluru

  • PCAP: a whole-genome assembly program.

    Xiaoqiu Huang;Jianmin Wang;Srinivas Aluru;Shiaw-Pyng Yang

  • A survey of error-correction methods for next-generation sequencing.

    Xiao Yang;Sriram P. Chockalingam;Srinivas Aluru

  • RD26 mediates crosstalk between drought and brassinosteroid signalling pathways

    Huaxun Ye;Sanzhen Liu;Buyun Tang;Jiani Chen

  • Handbook Of Computational Molecular Biology

    Srinivas Aluru

  • Reptile: representative tiling for short read error correction

    Xiao Yang;Karin S. Dorman;Srinivas Aluru

  • Fast alignment and preprocessing of chromatin profiles with Chromap.

    Haowen Zhang;Li Song;Xiaotao Wang;Haoyu Cheng

  • A fast adaptive algorithm for computing whole-genome homology maps.

    Chirag Jain;Chirag Jain;Sergey Koren;Alexander T. Dilthey;Adam M. Phillippy

  • Large-scale maximum likelihood-based phylogenetic analysis on the IBM BlueGene/L

    Michael Ott;Jaroslaw Zola;Alexandros Stamatakis;Srinivas Aluru

  • Parallel biological sequence comparison using prefix computations

    Srinivas Aluru;Natsuhiko Futamura;Kishan Mehrotra

  • A Fast Approximate Algorithm for Mapping Long Reads to Large Reference Databases

    Chirag Jain;Alexander T. Dilthey;Sergey Koren;Srinivas Aluru

  • A comprehensive evaluation of long read error correction methods

    Haowen Zhang;Chirag Jain;Srinivas Aluru

  • Space and time optimal parallel sequence alignments

    S. Rajko;S. Aluru

  • Efficient clustering of large EST data sets on parallel computers.

    Anantharaman Kalyanaraman;Srinivas Aluru;Suresh Kothari;Volker Brendel

  • Parallel domain decomposition and load balancing using space-filling curves

    S. Aluru;F.E. Sevilgen

  • Finding Motifs in Biological Sequences Using the Micron Automata Processor

    Indranil Roy;Srinivas Aluru

  • A Review of Hardware Acceleration for Computational Genomics

    Srinivas Aluru;Nagakishore Jammula

  • Real-time mapping of nanopore raw signals.

    Haowen Zhang;Haoran Li;Chirag Jain;Haoyu Cheng;Haoyu Cheng

  • Scientific Computing with Multicore and Accelerators

    A. Sarje;J. Zola;S. Aluru

Frequent Co-Authors

Patrick S. Schnable
Patrick S. Schnable Iowa State University
David A. Bader
David A. Bader New Jersey Institute of Technology
Adam M. Phillippy
Adam M. Phillippy National Institutes of Health
Sergey Koren
Sergey Koren National Institutes of Health
Heng Li
Heng Li Harvard University
Sanjay Ranka
Sanjay Ranka University of Florida
Bertil Schmidt
Bertil Schmidt Johannes Gutenberg University of Mainz
Konstantinos T. Konstantinidis
Konstantinos T. Konstantinidis Georgia Institute of Technology
Le Song
Le Song Mohamed bin Zayed University of Artificial Intelligence
Yanhai Yin
Yanhai Yin Iowa State University

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