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h5 指数:29
h5 中位数:46

h5 指数是指在过去整整 5 年中所发表文章的 h 指数。h 指在 2018-2022 年间发表的 h 篇文章每篇至少都被引用过 h 次的最大值。隐藏

出版物的 h5 中位数，是指出版物的 h5 指数所涵盖的所有文章获得的引用次数的中位值。隐藏

#19 Bioinformatics & Computational Biology

标题/作者	引用次数	年份
BRAKER2: automatic eukaryotic genome annotation with GeneMark-EP+ and AUGUSTUS supported by a protein database T Brůna, KJ Hoff, A Lomsadze, M Stanke, M Borodovsky NAR Genomics and Bioinformatics 3 (1), lqaa108	491	2021
ComBat-seq: batch effect adjustment for RNA-seq count data Y Zhang, G Parmigiani, WE Johnson NAR Genomics and Bioinformatics 2 (3), lqaa078	439	2020
Sequencing error profiles of Illumina sequencing instruments N Stoler, A Nekrutenko NAR Genomics and Bioinformatics 3 (1), lqab019	170	2021
GeneMark-EP+: eukaryotic gene prediction with self-training in the space of genes and proteins T Brůna, A Lomsadze, M Borodovsky NAR Genomics and Bioinformatics 2 (2), lqaa026	157	2020
Visualizing’omic feature rankings and log-ratios using Qurro MW Fedarko, C Martino, JT Morton, A González, G Rahman, CA Marotz, ... NAR Genomics and Bioinformatics 2 (2), lqaa023	105	2020
PHROG: families of prokaryotic virus proteins clustered using remote homology P Terzian, E Olo Ndela, C Galiez, J Lossouarn, RE Pérez Bucio, R Mom, ... NAR Genomics and Bioinformatics 3 (3), lqab067	80	2021
Benchmarking of long-read correction methods JC Dohm, P Peters, N Stralis-Pavese, H Himmelbauer NAR Genomics and Bioinformatics 2 (2), lqaa037	77	2020
DeepMicrobes: taxonomic classification for metagenomics with deep learning Q Liang, PW Bible, Y Liu, B Zou, L Wei NAR Genomics and Bioinformatics 2 (1), lqaa009	72	2020
RNAsamba: neural network-based assessment of the protein-coding potential of RNA sequences AP Camargo, V Sourkov, GAG Pereira, MF Carazzolle NAR Genomics and Bioinformatics 2 (1), lqz024	70	2020
A network-based integrated framework for predicting virus–prokaryote interactions W Wang, J Ren, K Tang, E Dart, JC Ignacio-Espinoza, JA Fuhrman, ... NAR Genomics and Bioinformatics 2 (2), lqaa044	67	2020
Joint single cell DNA-seq and RNA-seq of gastric cancer cell lines reveals rules of in vitro evolution N Andor, BT Lau, C Catalanotti, A Sathe, M Kubit, J Chen, C Blaj, ... NAR Genomics and Bioinformatics 2 (2), lqaa016	57	2020
Variable selection in microbiome compositional data analysis A Susin, Y Wang, KA Lê Cao, ML Calle NAR Genomics and Bioinformatics 2 (2), lqaa029	56	2020
Mutation effect estimation on protein–protein interactions using deep contextualized representation learning G Zhou, M Chen, CJT Ju, Z Wang, JY Jiang, W Wang NAR Genomics and Bioinformatics 2 (2), lqaa015	50	2020
Deep soft K-means clustering with self-training for single-cell RNA sequence data L Chen, W Wang, Y Zhai, M Deng NAR Genomics and Bioinformatics 2 (2), lqaa039	47	2020
Comparison of visualization tools for single-cell RNAseq data B Cakir, M Prete, N Huang, S van Dongen, P Pir, VY Kiselev NAR Genomics and Bioinformatics 2 (3), lqaa052	46	2020
PanACoTA: a modular tool for massive microbial comparative genomics A Perrin, EPC Rocha NAR Genomics and Bioinformatics 3 (1), lqaa106	43	2021
Phen2Gene: rapid phenotype-driven gene prioritization for rare diseases M Zhao, JM Havrilla, L Fang, Y Chen, J Peng, C Liu, C Wu, M Sarmady, ... NAR Genomics and Bioinformatics 2 (2), lqaa032	41	2020
A map of the SARS-CoV-2 RNA structurome RJ Andrews, CA O’Leary, VS Tompkins, JM Peterson, HS Haniff, ... NAR Genomics and Bioinformatics 3 (2), lqab043	40	2021
G4-iM Grinder: when size and frequency matter. G-Quadruplex, i-Motif and higher order structure search and analysis tool E Belmonte-Reche, JC Morales NAR Genomics and Bioinformatics 2 (1), lqz005	37	2020
Comparative performance of the BGI and Illumina sequencing technology for single-cell RNA-sequencing A Senabouth, S Andersen, Q Shi, L Shi, F Jiang, W Zhang, K Wing, ... NAR Genomics and Bioinformatics 2 (2), lqaa034	37	2020

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