Marek Kokot

About Marek Kokot

Marek Kokot, With an exceptional h-index of 8 and a recent h-index of 8 (since 2020), a distinguished researcher at Politechnika Slaska, specializes in the field of algorithmics, bioinformatics, parallel computing.

His recent articles reflect a diverse array of research interests and contributions to the field:

Ultra-efficient, unified discovery from microbial sequencing with SPLASH and precise statistical assembly

NOMAD2 provides ultra-efficient, scalable, and unsupervised discovery on raw sequencing reads

The K-mer File Format: a standardized and compact disk representation of sets of k-mers

Scalable, ultra-fast, and low-memory construction of compacted de Bruijn graphs with Cuttlefish 2

CoLoRd: Compressing long reads

VCFShark: how to squeeze a VCF file

Marek Kokot Information

University

Position

___

Citations(all)

820

Citations(since 2020)

635

Cited By

382

hIndex(all)

8

hIndex(since 2020)

8

i10Index(all)

7

i10Index(since 2020)

7

Email

University Profile Page

Google Scholar

Marek Kokot Skills & Research Interests

algorithmics

bioinformatics

parallel computing

Top articles of Marek Kokot

Ultra-efficient, unified discovery from microbial sequencing with SPLASH and precise statistical assembly

bioRxiv

2024

NOMAD2 provides ultra-efficient, scalable, and unsupervised discovery on raw sequencing reads

bioRxiv

2023

The K-mer File Format: a standardized and compact disk representation of sets of k-mers

Bioinformatics

2022/9/15

Scalable, ultra-fast, and low-memory construction of compacted de Bruijn graphs with Cuttlefish 2

Genome biology

2022/9/8

CoLoRd: Compressing long reads

Nature methods

2022/4

VCFShark: how to squeeze a VCF file

Bioinformatics

2021/10/1

See List of Professors in Marek Kokot University(Politechnika Slaska)

Co-Authors

academic-engine