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Pavel Kravchenko
Observed name:
Kravchenko, Pavel
Institution:
Max Planck Institute of Biochemistry
Observed institution:
Max Planck Institute of Biochemistry
ORCID:
0000-0002-5751-7129
Observed ORCID:
0000-0002-5751-7129
OpenAlex ID:
A5001399390
Zygotic genome activation by the totipotency pioneer factor Nr5a2
2022
·
Johanna Gassler
, Wataru Kobayashi
, et al.
·
Science
·
154
PDF
Rise and SINE: roles of transcription factors and retrotransposons in zygotic genome activation
2024
·
Pavel Kravchenko
, Kikuë Tachibana
·
Nature Reviews Molecular Cell Biology
·
23
An expanded codebook of human transcription factor DNA-binding specificity
2026
·
Arttu Jolma
, Kaitlin U. Laverty
, et al.
·
Nature
·
17
GHT-SELEX demonstrates unexpectedly high intrinsic sequence specificity and complex DNA binding of many human transcription factors
2026
·
Arttu Jolma
, Aldo Hernandez-Corchado
, et al.
·
Nature Methods
·
11
PDF
Extensive binding of poorly characterized human transcription factors to genomic dark matter
2026
·
Rozita Razavi
, Ali Fathi
, et al.
·
Nature Communications
·
11
PDF
Cross-platform motif discovery and benchmarking to explore binding specificities of poorly studied human transcription factors
2025
·
Ilya E. Vorontsov
, Ivan Kozin
, et al.
·
Communications Biology
·
11
PDF
Identification of methylation-sensitive human transcription factors using meSMiLE-seq
2026
·
Antoni J. Gralak
, Katerina Faltejskova
, et al.
·
Nature Communications
·
7
PDF
Rapid intraspecies mitochondrial genome evolution revealed by deep population sampling of a major wheat pathogen Zymoseptoria tritici
2026
·
Skakov, Ivan
, Feurtey, Alice
, et al.
·
Zenodo (CERN European Organization for Nuclear Research)
Classic machine learning on top of multiple position weight matrices improves genomic prediction of transcription factor binding sites
2026
·
Pavel Kravchenko
, Ilya E. Vorontsov
, et al.
·
bioRxiv (Cold Spring Harbor Laboratory)
PDF
Classic machine learning on top of multiple position weight matrices improves genomic prediction of transcription factor binding sites
2026
·
Kravchenko, Pavel
, Penzar, Dmitry D.
, et al.
·
Zenodo (CERN European Organization for Nuclear Research)
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Works count:
10
Citation count:
234
H-index:
7
I10-index:
6
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