Genetics

Phylogenomics and Infectious Potential of Avian Avulaviruses Species-Type 1 Isolated from Healthy Green-Winged Teal () from a Wetland Sanctuary of Indus River.

Given the importance of (AAvVs) in commercial poultry, continuous monitoring and surveillance in na...

Hercules: a profile HMM-based hybrid error correction algorithm for long reads.

Choosing whether to use second or third generation sequencing platforms can lead to trade-offs betwe...

LncRNAnet: long non-coding RNA identification using deep learning.

MOTIVATION: Long non-coding RNAs (lncRNAs) are important regulatory elements in biological processes...

Predicting reservoir hosts and arthropod vectors from evolutionary signatures in RNA virus genomes.

Identifying the animal origins of RNA viruses requires years of field and laboratory studies that st...

Identifying patients with familial hypercholesterolemia using data mining methods in the Northern Great Plain region of Hungary.

BACKGROUND AND AIMS: Familial hypercholesterolemia (FH) is one of the most frequent diseases with mo...

Machine-Assisted Genotype Update System (MAGUS) for Inherited Cardiomyopathies.

A systematic exploration of [Formula: see text] cutoff ranges in machine learning models for protein mutation stability prediction.

Discerning how a mutation affects the stability of a protein is central to the study of a wide range...

Gene multifunctionality scoring using gene ontology.

Multifunctional genes are important genes because of their essential roles in human cells. Studying ...

[Application of machine learning in the CRISPR/Cas9 system].

The third generation of the CRISPR/Cas9-mediated genome fixed-point editing technology has been wide...

A deep recurrent neural network discovers complex biological rules to decipher RNA protein-coding potential.

The current deluge of newly identified RNA transcripts presents a singular opportunity for improved ...

PathwaySplice: an R package for unbiased pathway analysis of alternative splicing in RNA-Seq data.

SUMMARY: Pathway analysis of alternative splicing would be biased without accounting for the differe...

A machine learning approach for somatic mutation discovery.

Variability in the accuracy of somatic mutation detection may affect the discovery of alterations an...

GARFIELD-NGS: Genomic vARiants FIltering by dEep Learning moDels in NGS.

SUMMARY: Exome sequencing approach is extensively used in research and diagnostic laboratories to di...

Exoskeleton and End-Effector Robots for Upper and Lower Limbs Rehabilitation: Narrative Review.

Recovery of upper and lower limbs function is essential to reach independence in daily activities in...

Discovering epistatic feature interactions from neural network models of regulatory DNA sequences.

MOTIVATION: Transcription factors bind regulatory DNA sequences in a combinatorial manner to modulat...

Towards an accurate and efficient heuristic for species/gene tree co-estimation.

MOTIVATION: Species and gene trees represent how species and individual loci within their genomes ev...

Off-target predictions in CRISPR-Cas9 gene editing using deep learning.

MOTIVATION: The prediction of off-target mutations in CRISPR-Cas9 is a hot topic due to its relevanc...

DeepDiff: DEEP-learning for predicting DIFFerential gene expression from histone modifications.

MOTIVATION: Computational methods that predict differential gene expression from histone modificatio...

A deep neural network approach for learning intrinsic protein-RNA binding preferences.

MOTIVATION: The complexes formed by binding of proteins to RNAs play key roles in many biological pr...

Cost function network-based design of protein-protein interactions: predicting changes in binding affinity.

MOTIVATION: Accurate and economic methods to predict change in protein binding free energy upon muta...

[From symptom to syndrome using modern software support].

Diagnosing rare diseases can be challenging for clinicians. This article gives an overview on novel ...