Vikram S Shivakumar
Overview
Explore the profile of Vikram S Shivakumar including associated specialties, affiliations and a list of published articles.
Author names and details appear as published. Due to indexing inconsistencies, multiple individuals may share a name, and a single author may have variations. MedLuna displays this data as publicly available, without modification or verification
Snapshot
Snapshot
Articles
6
Citations
12
Followers
0
Related Specialties
Related Specialties
Top 10 Co-Authors
Top 10 Co-Authors
Published In
Published In
Affiliations
Affiliations
Soon will be listed here.
Recent Articles
1.
Zheng A, Lee I, Shivakumar V, Ahmed O, Langmead B
bioRxiv
. 2025 Jan;
PMID: 39829865
Minimizer digestion is an increasingly common component of bioinformatics tools, including tools for De Bruijn-Graph assembly and sequence classification. We describe a new open source tool and library to facilitate...
2.
Shivakumar V, Langmead B
bioRxiv
. 2025 Jan;
PMID: 39803467
Aligning genomes into common coordinates is central to pangenome analysis and construction, but it is also computationally expensive. Multi-sequence maximal unique matches (multi-MUMs) are guideposts for core genome alignments, helping...
3.
Brown N, Shivakumar V, Langmead B
bioRxiv
. 2024 Nov;
PMID: 39554056
Compressed full-text indexes enable efficient sequence classification against a pangenome or tree-of-life index. Past work on compressed-index classification used matching statistics or pseudo-matching lengths to capture the fine-grained co-linearity of...
4.
Shivakumar V, Ahmed O, Kovaka S, Zakeri M, Langmead B
Bioinformatics
. 2024 Jun;
40(Suppl 1):i287-i296.
PMID: 38940135
Summary: Improvements in nanopore sequencing necessitate efficient classification methods, including pre-filtering and adaptive sampling algorithms that enrich for reads of interest. Signal-based approaches circumvent the computational bottleneck of basecalling. But...
5.
Shivakumar V, Ahmed O, Kovaka S, Zakeri M, Langmead B
bioRxiv
. 2023 Aug;
PMID: 37645873
Improvements in nanopore sequencing necessitate efficient classification methods, including pre-filtering and adaptive sampling algorithms that enrich for reads of interest. Signal-based approaches circumvent the computational bottleneck of basecalling. But past...
6.
Damasco G, Shivakumar V, Misciewicz T, Daly D, Fine P
Genes (Basel)
. 2019 May;
10(5).
PMID: 31121954
Plants in the Burseraceae are globally recognized for producing resins and essential oils with medicinal properties and have economic value. In addition, most of the aromatic and non-aromatic components of...
7.
Shivakumar V, Johnson G, Zimmer E
Sci Rep
. 2019 Mar;
9(1):4230.
PMID: 30862864
The curry tree (Bergera koenigii L.) is a widely cultivated plant used in South Asian cooking. Next-generation sequencing was used to generate the transcriptome of the curry leaf to detect...
8.
Shivakumar V, Appelhans M, Johnson G, Carlsen M, Zimmer E
Mol Phylogenet Evol
. 2016 Dec;
117:135-140.
PMID: 27965082
The Clauseneae (Aurantioideae, Rutaceae) is a tribe in the Citrus family that, although economically important as it contains the culinary and medicinally-useful curry tree (Bergera koenigii), has been relatively understudied....