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BMC Bioinformatics|June 4, 2020
CRISPRpred(SEQ): a sequence-based method for sgRNA on target activity prediction using traditional machine learningAli Haisam Muhammad Rafid, Md Toufikuzzaman, Mohammad Saifur Rahman, et al.BMC Bioinformatics|August 26, 2021
A pipeline for RNA-seq based eQTL analysis with automated quality control proceduresTao Wang, Yongzhuang Liu, Junpeng Ruan, et al.BMC Bioinformatics|June 20, 2020
pyMeSHSim: an integrative python package for biomedical named entity recognition, normalization, and comparison of MeSH termsZhi-Hui Luo, Meng-Wei Shi, Zhuang Yang, et al.BMC Bioinformatics|August 6, 2021
Integrative, multi-omics, analysis of blood samples improves model predictions: applications to cancerErica Ponzi, Magne Thoresen, Therese Haugdahl Nøst, et al.BMC Bioinformatics|May 28, 2020
SCSIM: Jointly simulating correlated single-cell and bulk next-generation DNA sequencing dataCollin Giguere, Harsh Vardhan Dubey, Vishal Kumar Sarsani, et al.BMC Bioinformatics|September 8, 2021
Reproducibility of mass spectrometry based metabolomics dataTusharkanti Ghosh, Daisy Philtron, Weiming Zhang, et al.BMC Bioinformatics|August 5, 2021
A unified framework for the integration of multiple hierarchical clusterings or networks from multi-source dataAudrey Hulot, Denis Laloë, Florence JaffrézicBMC Bioinformatics|August 16, 2022
Identifying essential proteins from protein-protein interaction networks based on influence maximizationWeixia Xu, Yunfeng Dong, Jihong Guan, et al.BMC Bioinformatics|May 13, 2021
DSCMF: prediction of LncRNA-disease associations based on dual sparse collaborative matrix factorizationJin-Xing Liu, Ming-Ming Gao, Zhen Cui, et al.BMC Bioinformatics|May 18, 2021
Rapid protein sequence evolution via compensatory frameshift is widespread in RNA virus genomesDongbin Park, Yoonsoo HahnPageof 1,248