David Koslicki 个人学术档案

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	总计	2019 年至今
引用	2379	2013
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Serghei MangulAssistant Professor at USC在 usc.edu 的电子邮件经过验证
Eleazar EskinUniversity of California, Los Angeles在 cs.ucla.edu 的电子邮件经过验证
Simon FoucartProfessor of Mathematics, Texas A&M University在 tamu.edu 的电子邮件经过验证
Gail RosenProfessor of ECE, Drexel University在 ece.drexel.edu 的电子邮件经过验证
Roel A. OphoffProfessor of Psychiatry and Human Genetics, University of California Los Angeles在 ucla.edu 的电子邮件经过验证
Anil Ori, PhDDepartment of Psychiatry, Amsterdam UMC, the Netherlands在 amsterdamumc.nl 的电子邮件经过验证
Willem M de VosProfessor @ Microbiology Wageningen Netherlands @Helsinki Finland在 wur.nl 的电子邮件经过验证
Loes Olde LoohuisAssistant professor at UCLA在 mednet.ucla.edu 的电子邮件经过验证
Alice Carolyn McHardyHelmholtz Centre for Infection Research, Germany在 helmholtz-hzi.de 的电子邮件经过验证
Saikat ChatterjeeKTH - Royal Institute of Technology在 kth.se 的电子邮件经过验证
Mikko VehkaperäNokia Mobile Networks在 nokia.com 的电子邮件经过验证
Christopher Clemens MayerAIT Austrian Institute of Technology GmbH, Center for Health & Bioresources, Medical Signal Analysis在 ait.ac.at 的电子邮件经过验证
Martin BachlerResearch Engineer, AIT Austrian Institute of Technology GmbH, Center for Health & Bioresources在 ait.ac.at 的电子邮件经过验证
Daniel FalushInstitute Pasteur Shanghai在 ips.ac.cn 的电子邮件经过验证
Alexander SczyrbaForschungszentrum Jülich (IBG-5), Bielefeld University, Centrum for Biotechnology (CeBiTec)在 fz-juelich.de 的电子邮件经过验证
Aaron DarlingIllumina Australia; Professor @ University of Technology Sydney在 illumina.com 的电子邮件经过验证
Alan WalkerProfessor, Rowett Institute, University of Aberdeen在 abdn.ac.uk 的电子邮件经过验证
Mikael SkoglundKTH Royal Institute of Technology在 kth.se 的电子邮件经过验证
Erik AurellProfessor of Biological Physics, KTH-Royal Institute of Technology在 kth.se 的电子邮件经过验证
Lars K. RasmussenProfessor, KTH Royal Institute of Technology在 ieee.org 的电子邮件经过验证

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David Koslicki

Computer Science and Engineering, Biology, Huck Institutes of the Life Sciences, Penn State

在 psu.edu 的电子邮件经过验证 - 首页

Computational genomics Metagenomics Probability Compressive sensing


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Critical assessment of metagenome interpretation—a benchmark of metagenomics software A Sczyrba, P Hofmann, P Belmann, D Koslicki, S Janssen, J Dröge, ... Nature methods 14 (11), 1063-1071, 2017	744	2017
Critical assessment of metagenome interpretation: the second round of challenges F Meyer, A Fritz, ZL Deng, D Koslicki, TR Lesker, A Gurevich, G Robertson, ... Nature methods 19 (4), 429-440, 2022	199	2022
Transcriptome analysis in whole blood reveals increased microbial diversity in schizophrenia LMO Loohuis, S Mangul, A Ori, G Jospin, D Koslicki, HT Yang, T Wu, ... Nature Translational Psychiatry 8 (96), 9, 2018	113*	2018
Technology dictates algorithms: recent developments in read alignment M Alser, J Rotman, D Deshpande, K Taraszka, H Shi, PI Baykal, HT Yang, ... Genome biology 22 (1), 249, 2021	112	2021
Striped UniFrac: enabling microbiome analysis at unprecedented scale D McDonald, Y Vázquez-Baeza, D Koslicki, J McClelland, N Reeve, Z Xu, ... Nature methods 15 (11), 847-848, 2018	94	2018
Assessing taxonomic metagenome profilers with OPAL F Meyer, A Bremges, P Belmann, S Janssen, AC McHardy, D Koslicki Genome biology 20, 1-10, 2019	79	2019
Sparse recovery by means of nonnegative least squares S Foucart, D Koslicki IEEE Signal Processing Letters 21 (4), 498-502, 2014	75	2014
Topological entropy of DNA sequences D Koslicki Bioinformatics 27 (8), 1061-1067, 2011	72	2011
On entropy-based data mining A Holzinger, M Hörtenhuber, C Mayer, M Bachler, S Wassertheurer, ... Interactive Knowledge Discovery and Data Mining in Biomedical Informatics …, 2014	67	2014
Toward a universal biomedical data translator TBDT Consortium Clinical and Translational Science, 1--5, 2018	64*	2018
MetaPalette: a k-mer Painting Approach for Metagenomic Taxonomic Profiling and Quantification of Novel Strain Variation D Koslicki, D Falush MSystems 1 (3), 10.1128/msystems. 00020-16, 2016	64	2016
Quikr: a method for rapid reconstruction of bacterial communities via compressive sensing D Koslicki, S Foucart, G Rosen Bioinformatics 29 (17), 2096-2102, 2013	59	2013
Metalign: efficient alignment-based metagenomic profiling via containment min hash N LaPierre, M Alser, E Eskin, D Koslicki, S Mangul Genome biology 21, 1-15, 2020	55	2020
WGSQuikr: fast whole-genome shotgun metagenomic classification D Koslicki, S Foucart, G Rosen PloS one 9 (3), e91784, 2014	53	2014
Improving minhash via the containment index with applications to metagenomic analysis D Koslicki, H Zabeti Applied Mathematics and Computation 354, 206-215, 2019	50	2019
Biolink Model: A universal schema for knowledge graphs in clinical, biomedical, and translational science DR Unni, SAT Moxon, M Bada, M Brush, R Bruskiewich, JH Caufield, ... Clinical and translational science 15 (8), 1848-1855, 2022	47	2022
Tutorial: assessing metagenomics software with the CAMI benchmarking toolkit F Meyer, TR Lesker, D Koslicki, A Fritz, A Gurevich, AE Darling, A Sczyrba, ... Nature protocols 16 (4), 1785-1801, 2021	43	2021
Lightweight compositional analysis of metagenomes with FracMinHash and minimum metagenome covers L Irber, PT Brooks, T Reiter, NT Pierce-Ward, MR Hera, D Koslicki, ... BioRxiv, 2022.01. 11.475838, 2022	39	2022
MiCoP: microbial community profiling method for detecting viral and fungal organisms in metagenomic samples N LaPierre, S Mangul, M Alser, I Mandric, NC Wu, D Koslicki, E Eskin BMC genomics 20, 1-10, 2019	37	2019
RTX-KG2: a system for building a semantically standardized knowledge graph for translational biomedicine EC Wood, AK Glen, LG Kvarfordt, F Womack, L Acevedo, TS Yoon, C Ma, ... BMC bioinformatics 23 (1), 400, 2022	27	2022

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