Articles

A neural network-based method for polypharmacy side effects prediction

Polypharmacy is a type of treatment that involves the concurrent use of multiple medications. Drugs may interact when they are used simultaneously. So, understanding and mitigating polypharmacy side effects ar...

Authors: Raziyeh Masumshah, Rosa Aghdam and Changiz Eslahchi

Uncovering the effects of heterogeneity and parameter sensitivity on within-host dynamics of disease: malaria as a case study

The fidelity and reliability of disease model predictions depend on accurate and precise descriptions of processes and determination of parameters. Various models exist to describe within-host dynamics during ...

Authors: Shade Horn, Jacky L. Snoep and David D. van Niekerk

PDBeCIF: an open-source mmCIF/CIF parsing and processing package

Biomacromolecular structural data outgrew the legacy Protein Data Bank (PDB) format which the scientific community relied on for decades, yet the use of its successor PDBx/Macromolecular Crystallographic Infor...

Authors: Glen van Ginkel, Lukáš Pravda, José M. Dana, Mihaly Varadi, Peter Keller, Stephen Anyango and Sameer Velankar

neoDL: a novel neoantigen intrinsic feature-based deep learning model identifies IDH wild-type glioblastomas with the longest survival

Neoantigen based personalized immune therapies achieve promising results in melanoma and lung cancer, but few neoantigen based models perform well in IDH wild-type GBM, and the association between neoantigen i...

Authors: Ting Sun, Yufei He, Wendong Li, Guang Liu, Lin Li, Lu Wang, Zixuan Xiao, Xiaohan Han, Hao Wen, Yong Liu, Yifan Chen, Haoyu Wang, Jing Li, Yubo Fan, Wei Zhang and Jing Zhang

Correction to: SPEAQeasy: a scalable pipeline for expression analysis and quantification for R/bioconductor‑powered RNA‑seq analyses

Authors: Nicholas J. Eagles, Emily E. Burke, Jacob Leonard, Brianna K. Barry, Joshua M. Stolz, Louise Huuki, BaDoi N. Phan, Violeta Larios Serrato, Everardo Gutiérrez-Millán, Israel Aguilar-Ordoñez, Andrew E. Jaffe and Leonardo Collado-Torres

Feature selection for RNA cleavage efficiency at specific sites using the LASSO regression model in Arabidopsis thaliana

RNA degradation is important for the regulation of gene expression. Despite the identification of proteins and sequences related to deadenylation-dependent RNA degradation in plants, endonucleolytic cleavage-d...

Authors: Daishin Ueno, Harunori Kawabe, Shotaro Yamasaki, Taku Demura and Ko Kato

GAT-LI: a graph attention network based learning and interpreting method for functional brain network classification

Autism spectrum disorders (ASD) imply a spectrum of symptoms rather than a single phenotype. ASD could affect brain connectivity at different degree based on the severity of the symptom. Given their excellent ...

Authors: Jinlong Hu, Lijie Cao, Tenghui Li, Shoubin Dong and Ping Li

METAMVGL: a multi-view graph-based metagenomic contig binning algorithm by integrating assembly and paired-end graphs

Due to the complexity of microbial communities, de novo assembly on next generation sequencing data is commonly unable to produce complete microbial genomes. Metagenome assembly binning becomes an essential st...

Authors: Zhenmiao Zhang and Lu Zhang

Disease ontologies for knowledge graphs

Data integration to build a biomedical knowledge graph is a challenging task. There are multiple disease ontologies used in data sources and publications, each having its hierarchy. A common task is to map bet...

Authors: Natalja Kurbatova and Rowan Swiers

SAUTE: sequence assembly using target enrichment

Illumina is the dominant sequencing technology at this time. Short length, short insert size, some systematic biases, and low-level carryover contamination in Illumina reads continue to make assembly of repeat...

Authors: Alexandre Souvorov and Richa Agarwala

Pre-capture multiplexing provides additional power to detect copy number variation in exome sequencing

As exome sequencing (ES) integrates into clinical practice, we should make every effort to utilize all information generated. Copy-number variation can lead to Mendelian disorders, but small copy-number varian...

Authors: Dayne L. Filer, Fengshen Kuo, Alicia T. Brandt, Christian R. Tilley, Piotr A. Mieczkowski, Jonathan S. Berg, Kimberly Robasky, Yun Li, Chris Bizon, Jeffery L. Tilson, Bradford C. Powell, Darius M. Bost, Clark D. Jeffries and Kirk C. Wilhelmsen

HAVoC, a bioinformatic pipeline for reference-based consensus assembly and lineage assignment for SARS-CoV-2 sequences

SARS-CoV-2 related research has increased in importance worldwide since December 2019. Several new variants of SARS-CoV-2 have emerged globally, of which the most notable and concerning currently are the UK va...

Authors: Phuoc Thien Truong Nguyen, Ilya Plyusnin, Tarja Sironen, Olli Vapalahti, Ravi Kant and Teemu Smura

Accurate plant pathogen effector protein classification ab initio with deepredeff: an ensemble of convolutional neural networks

Plant pathogens cause billions of dollars of crop loss every year and are a major threat to global food security. Effector proteins are the tools such pathogens use to infect the cell, predicting effectors de ...

Authors: Ruth Kristianingsih and Dan MacLean

MSCFS: inferring circRNA functional similarity based on multiple data sources

More and more evidence shows that circRNA plays an important role in various biological processes and human health. Therefore, inferring the circRNA’s potential functions and obtaining circRNA functional simil...

Authors: Liang Shu, Cheng Zhou, Xinxu Yuan, Jingpu Zhang and Lei Deng

Publisher Correction to: TrancriptomeReconstructoR: data‑driven annotation of complex transcriptomes

Authors: Maxim Ivanov, Albin Sandelin and Sebastian Marquardt

MitoTox: a comprehensive mitochondrial toxicity database

Mitochondria play essential roles in regulating cellular functions. Some drug treatments and molecular interventions have been reported to have off-target effects damaging mitochondria and causing severe side ...

Authors: Yu-Te Lin, Ko-Hong Lin, Chi-Jung Huang and An-Chi Wei

SPLICE-q: a Python tool for genome-wide quantification of splicing efficiency

Introns are generally removed from primary transcripts to form mature RNA molecules in a post-transcriptional process called splicing. An efficient splicing of primary transcripts is an essential step in gene ...

Authors: Verônica R. de Melo Costa, Julianus Pfeuffer, Annita Louloupi, Ulf A. V. Ørom and Rosario M. Piro

Correction to: Moonlighting protein prediction using physico‑chemical and evolutional properties via machine learning methods

Authors: Farshid Shirafkan, Sajjad Gharaghani, Karim Rahimian, Reza Hasan Sajedi and Javad Zahiri

SCOUR: a stepwise machine learning framework for predicting metabolite-dependent regulatory interactions

The topology of metabolic networks is both well-studied and remarkably well-conserved across many species. The regulation of these networks, however, is much more poorly characterized, though it is known to be...

Authors: Justin Y. Lee, Britney Nguyen, Carlos Orosco and Mark P. Styczynski

Single-cell classification using graph convolutional networks

Analyzing single-cell RNA sequencing (scRNAseq) data plays an important role in understanding the intrinsic and extrinsic cellular processes in biological and biomedical research. One significant effort in thi...

Authors: Tianyu Wang, Jun Bai and Sheida Nabavi

Predicting synchronized gene coexpression patterns from fibration symmetries in gene regulatory networks in bacteria

Gene regulatory networks coordinate the expression of genes across physiological states and ensure a synchronized expression of genes in cellular subsystems, critical for the coherent functioning of cells. Her...

Authors: Ian Leifer, Mishael Sánchez-Pérez, Cecilia Ishida and Hernán A. Makse

Feature selection and causal analysis for microbiome studies in the presence of confounding using standardization

Microbiome studies have uncovered associations between microbes and human, animal, and plant health outcomes. This has led to an interest in developing microbial interventions for treatment of disease and opti...

Authors: Emily Goren, Chong Wang, Zhulin He, Amy M. Sheflin, Dawn Chiniquy, Jessica E. Prenni, Susannah Tringe, Daniel P. Schachtman and Peng Liu

Consensus clustering applied to multi-omics disease subtyping

Facing the diversity of omics data and the difficulty of selecting one result over all those produced by several methods, consensus strategies have the potential to reconcile multiple inputs and to produce rob...

Authors: Galadriel Brière, Élodie Darbo, Patricia Thébault and Raluca Uricaru

Performance of Web tools for predicting changes in protein stability caused by mutations

Despite decades on developing dedicated Web tools, it is still difficult to predict correctly the changes of the thermodynamic stability of proteins caused by mutations. Here, we assessed the reliability of fi...

Authors: Anna Marabotti, Eugenio Del Prete, Bernardina Scafuri and Angelo Facchiano

HOME-BIO (sHOtgun MEtagenomic analysis of BIOlogical entities): a specific and comprehensive pipeline for metagenomic shotgun sequencing data analysis

Next-Generation-Sequencing (NGS) enables detection of microorganisms present in biological and other matrices of various origin and nature, allowing not only the identification of known phyla and strains but a...

Authors: Carlo Ferravante, Domenico Memoli, Domenico Palumbo, Paolo Ciaramella, Antonio Di Loria, Ylenia D’Agostino, Giovanni Nassa, Francesca Rizzo, Roberta Tarallo, Alessandro Weisz and Giorgio Giurato

PhyliCS: a Python library to explore scCNA data and quantify spatial tumor heterogeneity

Tumors are composed by a number of cancer cell subpopulations (subclones), characterized by a distinguishable set of mutations. This phenomenon, known as intra-tumor heterogeneity (ITH), may be studied using C...

Authors: Marilisa Montemurro, Elena Grassi, Carmelo Gabriele Pizzino, Andrea Bertotti, Elisa Ficarra and Gianvito Urgese

Pheniqs 2.0: accurate, high-performance Bayesian decoding and confidence estimation for combinatorial barcode indexing

Systems biology increasingly relies on deep sequencing with combinatorial index tags to associate biological sequences with their sample, cell, or molecule of origin. Accurate data interpretation depends on th...

Authors: Lior Galanti, Dennis Shasha and Kristin C. Gunsalus

ANMDA: anti-noise based computational model for predicting potential miRNA-disease associations

A growing proportion of research has proved that microRNAs (miRNAs) can regulate the function of target genes and have close relations with various diseases. Developing computational methods to exploit more po...

Authors: Xue-Jun Chen, Xin-Yun Hua and Zhen-Ran Jiang

BiGAN: LncRNA-disease association prediction based on bidirectional generative adversarial network

An increasing number of studies have shown that lncRNAs are crucial for the control of hormones and the regulation of various physiological processes in the human body, and deletion mutations in RNA are relate...

Authors: Qiang Yang and Xiaokun Li

Genome-wide identification and expression analysis of Raffinose synthetase family in cotton

The Raffinose synthetase (RAFS) genes superfamily is critical for the synthesis of raffinose, which accumulates in plant leaves under abiotic stress. However, it remains unclear whether RAFS contributes to resist...

Authors: Ruifeng Cui, Xiaoge Wang, Waqar Afzal Malik, Xuke Lu, Xiugui Chen, Delong Wang, Junjuan Wang, Shuai Wang, Chao Chen, Lixue Guo, Quanjia Chen and Wuwei Ye

Physcraper: a Python package for continually updated phylogenetic trees using the Open Tree of Life

Phylogenies are a key part of research in many areas of biology. Tools that automate some parts of the process of phylogenetic reconstruction, mainly molecular character matrix assembly, have been developed fo...

Authors: Luna L. Sánchez-Reyes, Martha Kandziora and Emily Jane McTavish

Correction to: DeepDist: real‑value inter‑residue distance prediction with deep residual convolutional network

Authors: Tianqi Wu, Zhiye Guo, Jie Hou and Jianlin Cheng

StrongestPath: a Cytoscape application for protein–protein interaction analysis

StrongestPath is a Cytoscape 3 application that enables the analysis of interactions between two proteins or groups of proteins in a collection of protein–protein interaction (PPI) network or signaling network...

Authors: Zaynab Mousavian, Mehran Khodabandeh, Ali Sharifi-Zarchi, Alireza Nadafian and Alireza Mahmoudi

Complementing sequence-derived features with structural information extracted from fragment libraries for protein structure prediction

Fragment libraries play a key role in fragment-assembly based protein structure prediction, where protein fragments are assembled to form a complete three-dimensional structure. Rich and accurate structural in...

Authors: Siyuan Liu, Tong Wang, Qijiang Xu, Bin Shao, Jian Yin and Tie-Yan Liu

Transcript annotation tool (TransAT): an R package for retrieving annotations for transcript-specific genetic variants

An individual’s genetics play a role in how RNA transcripts are generated from DNA and consequently in their translation into protein. Transcriptional and translational profiling of patients furnishes the info...

Authors: Ching-Yu Shih, Amrita Chattopadhyay, Chien-Hui Wu, Yu-Wen Tien and Tzu-Pin Lu

PlasForest: a homology-based random forest classifier for plasmid detection in genomic datasets

Plasmids are mobile genetic elements that often carry accessory genes, and are vectors for horizontal transfer between bacterial genomes. Plasmid detection in large genomic datasets is crucial to analyze their...

Authors: Léa Pradier, Tazzio Tissot, Anna-Sophie Fiston-Lavier and Stéphanie Bedhomme

A novel nonlinear dimension reduction approach to infer population structure for low-coverage sequencing data

Low-depth sequencing allows researchers to increase sample size at the expense of lower accuracy. To incorporate uncertainties while maintaining statistical power, we introduce MCPCA_PopGen to analyze population ...

Authors: Miao Zhang, Yiwen Liu, Hua Zhou, Joseph Watkins and Jin Zhou

Computational comparison of common event-based differential splicing tools: practical considerations for laboratory researchers

Computational tools analyzing RNA-sequencing data have boosted alternative splicing research by identifying and assessing differentially spliced genes. However, common alternative splicing analysis tools diffe...

Authors: Ittai B. Muller, Stijn Meijers, Peter Kampstra, Steven van Dijk, Michel van Elswijk, Marry Lin, Anna M. Wojtuszkiewicz, Gerrit Jansen, Robert de Jonge and Jacqueline Cloos

Scalable robust graph and feature extraction for arbitrary vessel networks in large volumetric datasets

Recent advances in 3D imaging technologies provide novel insights to researchers and reveal finer and more detail of examined specimen, especially in the biomedical domain, but also impose huge challenges rega...

Authors: Dominik Drees, Aaron Scherzinger, René Hägerling, Friedemann Kiefer and Xiaoyi Jiang

VISPR-online: a web-based interactive tool to visualize CRISPR screening experiments

VISPR is an interactive visualization and analysis framework for CRISPR screening experiments. However, it only supports the output of MAGeCK, and requires installation and manual configuration. Furthermore, V...

Authors: Yingbo Cui, Zihang Wang, Johannes Köster, Xiangke Liao, Shaoliang Peng, Tao Tang, Chun Huang and Canqun Yang

A comprehensive database for integrated analysis of omics data in autoimmune diseases

Autoimmune diseases are heterogeneous pathologies with difficult diagnosis and few therapeutic options. In the last decade, several omics studies have provided significant insights into the molecular mechanism...

Authors: Jordi Martorell-Marugán, Raúl López-Domínguez, Adrián García-Moreno, Daniel Toro-Domínguez, Juan Antonio Villatoro-García, Guillermo Barturen, Adoración Martín-Gómez, Kevin Troule, Gonzalo Gómez-López, Fátima Al-Shahrour, Víctor González-Rumayor, María Peña-Chilet, Joaquín Dopazo, Julio Sáez-Rodríguez, Marta E. Alarcón-Riquelme and Pedro Carmona-Sáez

mLoc-mRNA: predicting multiple sub-cellular localization of mRNAs using random forest algorithm coupled with feature selection via elastic net

Localization of messenger RNAs (mRNAs) plays a crucial role in the growth and development of cells. Particularly, it plays a major role in regulating spatio-temporal gene expression. The in situ hybridization ...

Authors: Prabina Kumar Meher, Anil Rai and Atmakuri Ramakrishna Rao

A convolutional neural network-based regression model to infer the epigenetic crosstalk responsible for CG methylation patterns

Epigenetic modifications, including CG methylation (a major form of DNA methylation) and histone modifications, interact with each other to shape their genomic distribution patterns. However, the entire pictur...

Authors: Wan Kin Au Yeung, Osamu Maruyama and Hiroyuki Sasaki

Predicting antifreeze proteins with weighted generalized dipeptide composition and multi-regression feature selection ensemble

Antifreeze proteins (AFPs) are a group of proteins that inhibit body fluids from growing to ice crystals and thus improve biological antifreeze ability. It is vital to the survival of living organisms in extre...

Authors: Shunfang Wang, Lin Deng, Xinnan Xia, Zicheng Cao and Yu Fei

Accelerated regression-based summary statistics for discrete stochastic systems via approximate simulators

Approximate Bayesian Computation (ABC) has become a key tool for calibrating the parameters of discrete stochastic biochemical models. For higher dimensional models and data, its performance is strongly depend...

Authors: Richard M. Jiang, Fredrik Wrede, Prashant Singh, Andreas Hellander and Linda R. Petzold

CASTELO: clustered atom subtypes aided lead optimization—a combined machine learning and molecular modeling method

Drug discovery is a multi-stage process that comprises two costly major steps: pre-clinical research and clinical trials. Among its stages, lead optimization easily consumes more than half of the pre-clinical ...

Authors: Leili Zhang, Giacomo Domeniconi, Chih-Chieh Yang, Seung-gu Kang, Ruhong Zhou and Guojing Cong

ORFik: a comprehensive R toolkit for the analysis of translation

With the rapid growth in the use of high-throughput methods for characterizing translation and the continued expansion of multi-omics, there is a need for back-end functions and streamlined tools for processin...

Authors: Håkon Tjeldnes, Kornel Labun, Yamila Torres Cleuren, Katarzyna Chyżyńska, Michał Świrski and Eivind Valen

SVNN: an efficient PacBio-specific pipeline for structural variations calling using neural networks

Once aligned, long-reads can be a useful source of information to identify the type and position of structural variations. However, due to the high sequencing error of long reads, long-read structural variatio...

Authors: Shaya Akbarinejad, Mostafa Hadadian Nejad Yousefi and Maziar Goudarzi

A machine learning framework that integrates multi-omics data predicts cancer-related LncRNAs

LncRNAs (Long non-coding RNAs) are a type of non-coding RNA molecule with transcript length longer than 200 nucleotides. LncRNA has been novel candidate biomarkers in cancer diagnosis and prognosis. However, i...

Authors: Lin Yuan, Jing Zhao, Tao Sun and Zhen Shen

Simulation study and comparative evaluation of viral contiguous sequence identification tools

Viruses, including bacteriophages, are important components of environmental and human associated microbial communities. Viruses can act as extracellular reservoirs of bacterial genes, can mediate microbiome d...

Authors: Cody Glickman, Jo Hendrix and Michael Strong