Terkko Navigator / Briefings in Bioinformatics

Integrative bioinformatics and omics data source interoperability in the next-generation sequencing era—Editorial

Computational methods for the integrative analysis of single-cell data

Structured sparsity regularization for analyzing high-dimensional omics data

Comparison of microbiome samples: methods and computational challenges

Epidemiological data analysis of viral quasispecies in the next-generation sequencing era

Using conceptual modeling to improve genome data management

The road towards data integration in human genomics: players, steps and interactions

Corrigendum to: Bioinformatics: scalability, capabilities and training in the data-driven era

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

Erratum to: Machine learning-based analysis of multi-omics data on the cloud for investigating gene regulations

GenoPheno: cataloging large-scale phenotypic and next-generation sequencing data within human datasets

Machine learning-based analysis of multi-omics data on the cloud for investigating gene regulations

Toward a gold standard for benchmarking gene set enrichment analysis

Corrigendum to: Computational annotation of miRNA transcription start sites

Closing the gap between formats for storing layout information in systems biology

Erratum to: Machine learning approaches and databases for prediction of drug–target interaction: a survey paper

Meta-Prism: Ultra-fast and highly accurate microbial community structure search utilizing dual indexing and parallel computation

High-dimensional variable selection for ordinal outcomes with error control

Systematical identification of cell-specificity of CTCF-gene binding based on epigenetic modifications

Human body-fluid proteome: quantitative profiling and computational prediction

GCdiscrimination: identification of gastric cancer based on a milliliter of blood

Domain-specific introduction to machine learning terminology, pitfalls and opportunities in CRISPR-based gene editing

EPSD: a well-annotated data resource of protein phosphorylation sites in eukaryotes

Deep learning-based clustering approaches for bioinformatics

A network-based algorithm for the identification of moonlighting noncoding RNAs and its application in sepsis

Computational annotation of miRNA transcription start sites

Closing the circle: current state and perspectives of circular RNA databases

Erratum to: LARMD: integration of bioinformatic resources to profile ligand-driven protein dynamics with a case on the activation of estrogen receptor

Design powerful predictor for mRNA subcellular location prediction in Homo sapiens

CpG-island-based annotation and analysis of human housekeeping genes

Can machine learning consistently improve the scoring power of classical scoring functions? Insights into the role of machine learning in scoring functions

Erratum to: Molecular dynamics simulations for genetic interpretation in protein coding regions: where we are, where to go and when

Deep learning for drug response prediction in cancer

Structural dynamics and allostery of Rab proteins: strategies for drug discovery and design

Machine learning approaches and databases for prediction of drug–target interaction: a survey paper

NCMCMDA: miRNA–disease association prediction through neighborhood constraint matrix completion

A survey and systematic assessment of computational methods for drug response prediction

SCDC: bulk gene expression deconvolution by multiple single-cell RNA sequencing references

On the critical review of five machine learning-based algorithms for predicting protein stability changes upon mutation

Drug–target prediction utilizing heterogeneous bio-linked network embeddings

BioMedR: an R/CRAN package for integrated data analysis pipeline in biomedical study

Small noncoding RNA discovery and profiling with sRNAtools based on high-throughput sequencing

Computational resources and strategies to assess single-molecule dynamics of the translation process in S. cerevisiae

DTI-CDF: a cascade deep forest model towards the prediction of drug-target interactions based on hybrid features

Deep learning for mining protein data

Current challenges and best-practice protocols for microbiome analysis

Hybrid modelling of biological systems using fuzzy continuous Petri nets

An extensive review of tools for manual annotation of documents

A survey on adverse drug reaction studies: data, tasks and machine learning methods

Improving drug response prediction by integrating multiple data sources: matrix factorization, kernel and network-based approaches