Jed A. Fuhrman

According to our database, Jed A. Fuhrman authored at least 12 papers between 2006 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Normalizing Metagenomic Hi-C Data and Detecting Spurious Contacts Using Zero-Inflated Negative Binomial Regression.

Yuxuan Du, Sarah M. Laperriere, Jed A. Fuhrman, Fengzhu Sun

J. Comput. Biol., 2022

2021

Corrigendum to: Assessment of metagenomic assemblers based on hybrid reads of real and simulated metagenomic sequences.

Ziye Wang, Ying Wang, Jed A. Fuhrman, Fengzhu Sun, Shanfeng Zhu

Briefings Bioinform., 2021

2020

Identifying viruses from metagenomic data using deep learning.

Jie Ren, Kai Song, Chao Deng, Nathan A. Ahlgren, Jed A. Fuhrman, Yi Li, Xiaohui Xie, Ryan Poplin, Fengzhu Sun

Quant. Biol., 2020

Assessment of metagenomic assemblers based on hybrid reads of real and simulated metagenomic sequences.

Ziye Wang, Ying Wang, Jed A. Fuhrman, Fengzhu Sun, Shanfeng Zhu

Briefings Bioinform., 2020

2017

CAFE: aCcelerated Alignment-FrEe sequence analysis.

Yang Young Lu, Kujin Tang, Jie Ren, Jed A. Fuhrman, Michael S. Waterman, Fengzhu Sun

Nucleic Acids Res., 2017

Prediction of virus-host infectious association by supervised learning methods.

Mengge Zhang, Lianping Yang, Jie Ren, Nathan A. Ahlgren, Jed A. Fuhrman, Fengzhu Sun

BMC Bioinform., 2017

COCACOLA: binning metagenomic contigs using sequence COmposition, read CoverAge, CO-alignment and paired-end read LinkAge.

Yang Young Lu, Ting Chen, Jed A. Fuhrman, Fengzhu Sun

Bioinform., 2017

2015

Statistical significance approximation in local trend analysis of high-throughput time-series data using the theory of Markov chains.

Li C. Xia, Dongmei Ai, Jacob A. Cram, Xiaoyi Liang, Jed A. Fuhrman, Fengzhu Sun

BMC Bioinform., 2015

2013

Efficient statistical significance approximation for local similarity analysis of high-throughput time series data.

Li C. Xia, Dongmei Ai, Jacob A. Cram, Jed A. Fuhrman, Fengzhu Sun

Bioinform., 2013

2011

Extended local similarity analysis (eLSA) of microbial community and other time series data with replicates.

Li C. Xia, Joshua A. Steele, Jacob A. Cram, Zoe G. Cardon, Sheri L. Simmons, Joseph J. Vallino, Jed A. Fuhrman, Fengzhu Sun

BMC Syst. Biol., 2011

2006

A dynamic programming algorithm for binning microbial community profiles.

Quansong Ruan, Joshua A. Steele, Michael S. Schwalbach, Jed A. Fuhrman, Fengzhu Sun

Bioinform., 2006

Local similarity analysis reveals unique associations among marine bacterioplankton species and environmental factors.

Quansong Ruan, Debojyoti Dutta, Michael S. Schwalbach, Joshua A. Steele, Jed A. Fuhrman, Fengzhu Sun

Bioinform., 2006