Ghanshyam Chandra

(घनश्याम चंद्रा)

Ghanshyam is a PhD Candidate at ATCG Lab, in Department of Computational and Data Sciences at the IISc . His research involves the intersection of High-Performance Computing and Computational Biology.

Explore my Image Gallery

My Erdős number is 5

Email  /  CV  /  LinkedIn  /  Twitter  /  Github  /  Google Scholar  /  Blog

profile photo
[November 2024]
Released mm2-plus (v1.0): Fast long-read and whole-genome aligner. [Link]
[October 2024]
Preprint on "Integer programming framework for pangenome-based genome inference". [preprint] [code]
[August 2024]
Our research "New algorithms advance genomic equity and personalized medicine" is highlighted by Indian Institute of Science and The Times of India.
[July 2024]
Our work "Haplotype-aware sequence alignment to pangenome graphs" is now online at Genome Research.
[May 2024]
Serving as a PC member for AccMLBio (ICML 2024).
[April 2024]
I will be giving talks at RECOMB-Seq 2024 and RECOMB 2024, both held at MIT, USA.
[March 2024]
Our work on "Accelerating whole-genome alignment using parallel chaining algorithm" is accepted for short talk at RECOMB-Seq 2024.
[February 2024]
Invited talk by IEEE on "Why Use Human Genome Graphs as a Reference? Insights into Scalable Genome Graph Algorithms." [Poster] [Memento]
[December 2023]
Our paper titled "Haplotype-aware Sequence-to-Graph Alignment" is accepted at RECOMB 2024. [Link]
[November 2023]
Preprint on "Haplotype-aware Sequence-to-Graph Alignment". [preprint]
Minichain (v1.3) released with support for "Haplotype-aware Sequence-to-Graph Alignment". [Link]
[August 2023]
Received Intel Research Fellowship 2023-24.
[June 2023]
Our paper titled "Co-linear Chaining on General Graphs" is accepted at WABI 2023.
[May 2023]
Released, PanAligner: Long read mapper to a pangenome graph. Link.
[April 2023]
I gave a talk on Sequence to Graph Alignment using Gap-Sensitive Co-Linear Chaining at RECOMB 2023.
I presented a poster titled "Minichain: A New Method for Pangenome Graph Construction" at RECOMB-SEQ 2023.
I presented my research work on Pangenomes at the EECS 2023 Symposium.
[March 2023]
Received RECOMB 2023 Travel Fellowship.
Our poster titled "Minichain: A new method for pangenome graph construction" has been accepted at RECOMB-SEQ 2023. [Link]
[Feb 2023]
Minichain v1.2 released. [Link]
Minichain v1.1 released. [Link]
[Dec 2022]
Presented a poster titled "Scaling sequence-to-DAG alignment with parameterized gap-sensitive co-linear chaining algorithms" at HiPC 2022. [Link]
[Nov 2022]
A paper titled "Sequence to graph alignment using gap-sensitive co-linear chaining" is accepted at RECOMB 2023. [Link]
[Dec 2021]
Winner: National HPC Hackthon 2021. [Link]
[Oct 2021]
Benchmarking human whole genome and RNA sequencing using Nvidia Ampere A100 GPUs. [Link]
Minichain: Long-read aligner to pangenome graphs.
PanAligner: Long read aligner for cyclic and acyclic pangenome graphs.
PHI: Pangenome graph-based genome inference.
mm2-plus: Fast long-read and whole-genome aligner.
Publications
Integer programming framework for pangenome-based genome inference.
[preprint] [code]
Ghanshyam Chandra, Md Helal Hossen, Stephan Scholz, Alexander T Dilthey, Daniel Gibney and Chirag Jain.
Haplotype-aware sequence alignment to pangenome graphs.
[paper] [code]
Ghanshyam Chandra, Daniel Gibney and Chirag Jain, (Appeared in RECOMB 2024, Published in Genome Research)
Co-linear Chaining on Pangenome Graphs
[paper]
[code]
Jyotshna Rajput, Ghanshyam Chandra and Chirag Jain, (Appeared in WABI 2023, Published in Algorithms for Molecular Biology)
Gap-Sensitive Colinear Chaining Algorithms for Acyclic Pangenome Graphs.
[paper]
[code]
Ghanshyam Chandra and Chirag Jain, (Appeared in RECOMB 2023, Published in Journal of Computational Biology)

Cloned from Jon Barron.