David Koslicki

David Koslicki

Penn State University

H-index: 21

North America-United States

About David Koslicki

David Koslicki, With an exceptional h-index of 21 and a recent h-index of 21 (since 2020), a distinguished researcher at Penn State University, specializes in the field of Computational genomics, Metagenomics, Probability, Compressive sensing.

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

YACHT: an ANI-based statistical test to detect microbial presence/absence in a metagenomic sample

MetagenomicKG: a knowledge graph for metagenomic applications

Connecting Syncmers to FracMinHash: similarities and advantages

An approach for collaborative development of a federated biomedical knowledge graph-based question-answering system: Question-of-the-Month challenges

Fast, lightweight, and accurate metagenomic functional profiling using FracMinHash sketches

KGML-xDTD: a knowledge graph–based machine learning framework for drug treatment prediction and mechanism description

TAMPA: interpretable analysis and visualization of metagenomics-based taxon abundance profiles

Deriving confidence intervals for mutation rates across a wide range of evolutionary distances using FracMinHash

David Koslicki Information

University

Position

Computer Science and Engineering Biology Huck Institutes of the Life Sciences

Citations(all)

2172

Citations(since 2020)

1810

Cited By

933

hIndex(all)

21

hIndex(since 2020)

21

i10Index(all)

32

i10Index(since 2020)

28

Email

University Profile Page

Penn State University

Google Scholar

View Google Scholar Profile

David Koslicki Skills & Research Interests

Computational genomics

Metagenomics

Probability

Compressive sensing

Top articles of David Koslicki

Title

Journal

Author(s)

Publication Date

YACHT: an ANI-based statistical test to detect microbial presence/absence in a metagenomic sample

Bioinformatics

David Koslicki

Stephen White

Chunyu Ma

Alexei Novikov

2024/2/1

MetagenomicKG: a knowledge graph for metagenomic applications

bioRxiv

Chunyu Ma

Shaopeng Liu

David Koslicki

2024

Connecting Syncmers to FracMinHash: similarities and advantages

bioRxiv

Shaopeng Liu

David Koslicki

2023/11/13

An approach for collaborative development of a federated biomedical knowledge graph-based question-answering system: Question-of-the-Month challenges

Journal of Clinical and Translational Science

Karamarie Fecho

Chris Bizon

Tursynay Issabekova

Sierra Moxon

Anne E Thessen

...

2023/1

Fast, lightweight, and accurate metagenomic functional profiling using FracMinHash sketches

bioRxiv

Mahmudur Rahman Hera

Shaopeng Liu

Wei Wei

Judith S. Rodriguez

Chunyu Ma

...

2023

KGML-xDTD: a knowledge graph–based machine learning framework for drug treatment prediction and mechanism description

GigaScience

Chunyu Ma

Zhihan Zhou

Han Liu

David Koslicki

2023

TAMPA: interpretable analysis and visualization of metagenomics-based taxon abundance profiles

GigaScience

Varuni Sarwal

Jaqueline Brito

Serghei Mangul

David Koslicki

2023

Deriving confidence intervals for mutation rates across a wide range of evolutionary distances using FracMinHash

Genome research

Mahmudur Rahman Hera

N Tessa Pierce-Ward

David Koslicki

2023/7/1

A translational approach to identifying and targeting TNF signaling in idiopathic multicentric Castleman disease

Blood

Melanie Mumau

Abiola Irvine

Chunyu Ma

Sheila K Pierson

Brent Shaw

...

2023/11/28

Finding phylogeny-aware and biologically meaningful averages of metagenomic samples: L2UniFrac

Bioinformatics

Wei Wei

Andrew Millward

David Koslicki

2023/6/1

Prokrustean graph: An efficient data structure used to extract sequence information for arbitrary k-mer size ranges

bioRxiv

Adam Park

David Koslicki

2023/11/21

ARAX: a graph-based modular reasoning tool for translational biomedicine

Bioinformatics

Amy K Glen

Chunyu Ma

Luis Mendoza

Finn Womack

EC Wood

...

2023/3/1

The Statistics of k-mers from a Sequence Undergoing a Simple Mutation Process Without Spurious Matches

Journal of Computational Biology

Antonio Blanca

Robert S Harris

David Koslicki

Paul Medvedev

2022/2/1

Biolink Model: A universal schema for knowledge graphs in clinical, biomedical, and translational science

Deepak R Unni

Sierra AT Moxon

Michael Bada

Matthew Brush

Richard Bruskiewich

...

2022/8

Using the UniFrac metric on Whole Genome Shotgun data

bioRxiv

Wei Wei

David Koslicki

2022/1/20

The minimizer Jaccard estimator is biased and inconsistent

Bioinformatics

Mahdi Belbasi

Antonio Blanca

Robert S Harris

David Koslicki

Paul Medvedev

2022/6/27

Lightweight compositional analysis of metagenomes with FracMinHash and minimum metagenome covers

BioRxiv

Luiz Irber

Phillip T Brooks

Taylor Reiter

N Tessa Pierce-Ward

Mahmudur Rahman Hera

...

2022/1/12

CMash: fast, multi-resolution estimation of k-mer-based Jaccard and containment indices

Bioinformatics

Shaopeng Liu

David Koslicki

2022/7

WGSUniFrac: applying UniFrac metric to whole genome shotgun data

Wei Wei

David Koslicki

2022

Critical assessment of metagenome interpretation: the second round of challenges

Nature methods

Fernando Meyer

Adrian Fritz

Zhi-Luo Deng

David Koslicki

Till Robin Lesker

...

2022/4

See List of Professors in David Koslicki University(Penn State University)

Co-Authors

H-index: 123
Roel A. Ophoff

Roel A. Ophoff

University of California, Los Angeles

H-index: 93
Eleazar Eskin

Eleazar Eskin

University of California, Los Angeles

H-index: 54
Alan Walker

Alan Walker

University of Aberdeen

H-index: 50
Aaron Darling

Aaron Darling

University of Technology & Management

academic-engine