The ecocyc database

PD Karp, WK Ong, S Paley, R Billington, R Caspi… - EcoSal …, 2018 - Am Soc Microbiol
EcoCyc is a bioinformatics database available at EcoCyc. org that describes the genome
and the biochemical machinery of Escherichia coli K-12 MG1655. The long-term goal of the …

The ecocyc database (2023)

PD Karp, S Paley, R Caspi, A Kothari… - EcoSal …, 2023 - Am Soc Microbiol
EcoCyc is a bioinformatics database available online at EcoCyc. org that describes the
genome and the biochemical machinery of Escherichia coli K-12 MG1655. The long-term …

BERT-Promoter: An improved sequence-based predictor of DNA promoter using BERT pre-trained model and SHAP feature selection

NQK Le, QT Ho, VN Nguyen, JS Chang - Computational Biology and …, 2022 - Elsevier
A promoter is a sequence of DNA that initializes the process of transcription and regulates
whenever and wherever genes are expressed in the organism. Because of its importance in …

[PDF][PDF] Automatic annotation of microbial genomes and metagenomic sequences

VSA Salamov, A Solovyevand - Metagenomics and its …, 2011 - researchgate.net
We have developed Fgenesb_annotator pipeline that provides completely automatic and
comprehensive annotation of microbial genomic sequence. The pipeline identifies protein …

Recognition of prokaryotic and eukaryotic promoters using convolutional deep learning neural networks

RK Umarov, VV Solovyev - PloS one, 2017 - journals.plos.org
Accurate computational identification of promoters remains a challenge as these key DNA
regulatory regions have variable structures composed of functional motifs that provide gene …

Classification of real and pseudo microRNA precursors using local structure-sequence features and support vector machine

C Xue, F Li, T He, GP Liu, Y Li, X Zhang - BMC bioinformatics, 2005 - Springer
Background MicroRNAs (miRNAs) are a group of short (~ 22 nt) non-coding RNAs that play
important regulatory roles. MiRNA precursors (pre-miRNAs) are characterized by their …

Predicting human microRNA-disease associations based on support vector machine

Q Jiang, G Wang, S Jin, Y Li… - International journal of …, 2013 - inderscienceonline.com
The identification of disease-related microRNAs is vital for understanding the pathogenesis
of disease at the molecular level and may lead to the design of specific molecular tools for …

RegulonDB (version 5.0): Escherichia coli K-12 transcriptional regulatory network, operon organization, and growth conditions

H Salgado, S Gama-Castro, M Peralta-Gil… - Nucleic acids …, 2006 - academic.oup.com
RegulonDB is the internationally recognized reference database of Escherichia coli K-12
offering curated knowledge of the regulatory network and operon organization. It is currently …

T4-related bacteriophage LIMEstone isolates for the control of soft rot on potato caused by 'Dickeya solani'

EM Adriaenssens, J Van Vaerenbergh… - PloS one, 2012 - journals.plos.org
The bacterium 'Dickeya solani', an aggressive biovar 3 variant of Dickeya dianthicola,
causes rotting and blackleg in potato. To control this pathogen using bacteriophage therapy …

Genomic benchmarks: a collection of datasets for genomic sequence classification

K Grešová, V Martinek, D Čechák, P Šimeček… - BMC Genomic …, 2023 - Springer
Background Recently, deep neural networks have been successfully applied in many
biological fields. In 2020, a deep learning model AlphaFold won the protein folding …