Detection of DNA base modifications by deep recurrent neural network on Oxford Nanopore sequencing data Q Liu, L Fang, G Yu, D Wang, CL Xiao, K Wang Nature communications 10 (1), 1-11, 2019 | 271 | 2019 |
precisionFDA Truth Challenge V2: Calling variants from short-and long-reads in difficult-to-map regions ND Olson, J Wagner, J McDaniel, SH Stephens, ST Westreich, ... bioRxiv, 2020 | 117 | 2020 |
Interrogating the “unsequenceable” genomic trinucleotide repeat disorders by long-read sequencing Q Liu, P Zhang, D Wang, W Gu, K Wang Genome Medicine 9 (1), 65, 2017 | 98 | 2017 |
Long-read sequencing identified intronic repeat expansions in SAMD12 from Chinese pedigrees affected with familial cortical myoclonic tremor with epilepsy S Zeng, M Zhang, X Wang, Z Hu, J Li, N Li, J Wang, F Liang, Q Yang, ... Journal of medical genetics 56 (4), 265-270, 2019 | 84 | 2019 |
‘Double water exclusion’: a hypothesis refining the O-ring theory for the hot spots at protein interfaces J Li, Q Liu Bioinformatics 25 (6), 743-750, 2009 | 70 | 2009 |
Binding Affinity Prediction for Protein–Ligand Complexes Based on β Contacts and B Factor Q Liu, CK Kwoh, J Li Journal of chemical information and modeling 53 (11), 3076-3085, 2013 | 69 | 2013 |
NanoMod: a computational tool to detect DNA modifications using Nanopore long-read sequencing data Q Liu, DC Georgieva, D Egli, K Wang BMC genomics 20 (1), 31-42, 2019 | 66 | 2019 |
NanoCaller for accurate detection of SNPs and indels in difficult-to-map regions from long-read sequencing by haplotype-aware deep neural networks MU Ahsan, Q Liu, L Fang, K Wang Genome biology 22 (1), 1-33, 2021 | 47 | 2021 |
Use B-factor related features for accurate classification between protein binding interfaces and crystal packing contacts Q Liu, Z Li, J Li BMC bioinformatics 15 (16), 1-11, 2014 | 47 | 2014 |
Tertiary structure-based prediction of conformational B-cell epitopes through B factors J Ren, Q Liu, J Ellis, J Li Bioinformatics 30 (12), i264-i273, 2014 | 42 | 2014 |
Detection of base analogs incorporated during DNA replication by nanopore sequencing D Georgieva, Q Liu, K Wang, D Egli Nucleic Acids Research, gkaa517, 2020 | 36 | 2020 |
Positive-unlabeled learning for the prediction of conformational B-cell epitopes J Ren, Q Liu, J Ellis, J Li BMC bioinformatics 16 (S18), S12, 2015 | 34 | 2015 |
Protein binding hot spots and the residue-residue pairing preference: a water exclusion perspective Q Liu, J Li BMC bioinformatics 11 (1), 244, 2010 | 34 | 2010 |
Improving keyword based web image search with visual feature distribution and term expansion Z Gong, Q Liu Knowledge and Information Systems 21 (1), 113-132, 2009 | 32 | 2009 |
Long-read sequence assembly of the firefly Pyrocoelia pectoralis genome X Fu, J Li, Y Tian, W Quan, S Zhang, Q Liu, F Liang, X Zhu, L Zhang, ... GigaScience 6 (12), gix112, 2017 | 31 | 2017 |
Propensity vectors of low‐ASA residue pairs in the distinction of protein interactions Q Liu, J Li Proteins: Structure, Function, and Bioinformatics 78 (3), 589-602, 2010 | 29 | 2010 |
LongGF: computational algorithm and software tool for fast and accurate detection of gene fusions by long-read transcriptome sequencing Q Liu, Y Hu, A Stucky, L Fang, JF Zhong, K Wang BMC genomics 21 (11), 1-12, 2020 | 26 | 2020 |
Connecting rules from paired miRNA and mRNA expression data sets of HCV patients to detect both inverse and positive regulatory relationships R Song, Q Liu, T Liu, J Li BMC genomics 16 (S2), S11, 2015 | 23 | 2015 |
DeepRepeat: direct quantification of short tandem repeats on signal data from nanopore sequencing L Fang, Q Liu, AM Monteys, P Gonzalez-Alegre, BL Davidson, K Wang Genome Biology 23 (1), 1-27, 2022 | 19 | 2022 |
Genome-wide detection of short tandem repeat expansions by long-read sequencing Q Liu, Y Tong, K Wang BMC bioinformatics 21 (21), 1-15, 2020 | 18 | 2020 |