Boyan Yordanov

University of Chemical Technology and Metallurgy

Biochemistry, Genetics and Molecular BiologyComputer Science

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 4 papers. Top paper: “A Deep Learning Model for Predicting NGS Sequencing Depth from DNA Sequence”.

A Deep Learning Model for Predicting NGS Sequencing Depth from DNA Sequence

(2020)10.21203/rs.3.rs-37670/v1

N/A

0DataRank · unranked

1 citations

Boyan Yordanov, Alexander L. Gaunt, Michael Wang, Peng Dai, Yuan-Jyue Chen +7 more

A deep learning model for predicting next-generation sequencing depth from DNA sequence

Nature Communications(2021)10.1038/s41467-021-24497-8

N/A

0DataRank · unranked

78 citations

Boyan Yordanov, Alexander L. Gaunt, Michael Wang, Peng Dai, Yuan-Jyue Chen +7 more

Editorial: Computer-Aided Biodesign Across Scales

Frontiers in Bioengineering and Biotechnology(2021)10.3389/fbioe.2021.700418

N/A

0DataRank · unranked

6 citations

Jonathan R Karr, Fabio Parmeggiani, Boyan Yordanov, Thomas E. Gorochowski

High-Throughput Measurement of Metastable DNA Secondary Structures using Multiplexed Low-Yield Bisulfite Sequencing (MLB-seq)

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.05.21.445174

N/A

0DataRank · unranked

0 citations

Jin H. Bae, Boyan Yordanov, Michael Wang, Andrew Phillips, David Y. Zhang +1 more