A brief survey of machine learning methods in protein sub-Golgi localization

W Yang, XJ Zhu, J Huang, H Ding… - Current …, 2019 - ingentaconnect.com
Background: The location of proteins in a cell can provide important clues to their functions
in various biological processes. Thus, the application of machine learning method in the …

CRISPRCasFinder, an update of CRISRFinder, includes a portable version, enhanced performance and integrates search for Cas proteins

D Couvin, A Bernheim, C Toffano-Nioche… - Nucleic acids …, 2018 - academic.oup.com
CRISPR (clustered regularly interspaced short palindromic repeats) arrays and their
associated (Cas) proteins confer bacteria and archaea adaptive immunity against …

CRISPR-based approaches for gene regulation in non-model bacteria

SN Call, LB Andrews - Frontiers in genome editing, 2022 - frontiersin.org
CRISPR interference (CRISPRi) and CRISPR activation (CRISPRa) have become
ubiquitous approaches to control gene expression in bacteria due to their simple design and …

CRISPRCasdb a successor of CRISPRdb containing CRISPR arrays and cas genes from complete genome sequences, and tools to download and query lists of …

C Pourcel, M Touchon, N Villeriot… - Nucleic acids …, 2020 - academic.oup.com
Abstract In Archaea and Bacteria, the arrays called CRISPRs for 'clustered regularly
interspaced short palindromic repeats' and the CRISPR associated genes or cas provide …

Genomic analysis of molecular bacterial mechanisms of resistance to phage infection

A Ambroa, L Blasco, M López, O Pacios… - Frontiers in …, 2022 - frontiersin.org
To optimize phage therapy, we need to understand how bacteria evolve against phage
attacks. One of the main problems of phage therapy is the appearance of bacterial …

CRISPRMatch: an automatic calculation and visualization tool for high-throughput CRISPR genome-editing data analysis

Q You, Z Zhong, Q Ren, F Hassan… - … journal of biological …, 2018 - pmc.ncbi.nlm.nih.gov
Custom-designed nucleases, including CRISPR-Cas9 and CRISPR-Cpf1, are widely used
to realize the precise genome editing. The high-coverage, low-cost and quantifiability make …

Recent advances in conotoxin classification by using machine learning methods

FY Dao, H Yang, ZD Su, W Yang, Y Wu, H Ding… - Molecules, 2017 - mdpi.com
Conotoxins are disulfide-rich small peptides, which are invaluable peptides that target ion
channel and neuronal receptors. Conotoxins have been demonstrated as potent …

CRISPRcasIdentifier: Machine learning for accurate identification and classification of CRISPR-Cas systems

VA Padilha, OS Alkhnbashi, SA Shah… - …, 2020 - academic.oup.com
Background CRISPR-Cas genes are extraordinarily diverse and evolve rapidly when
compared to other prokaryotic genes. With the rapid increase in newly sequenced archaeal …

Genome editing and bioinformatics

K Nakamae, H Bono - Gene and Genome Editing, 2022 - Elsevier
Bioinformatics has become an indispensable technology in molecular biology for genome
editing. In this review, we outline various bioinformatic techniques necessary for genome …

A common whole-genome paleotetraploidization in Cucurbitales

J Wang, M Yuan, Y Feng, Y Zhang, S Bao… - Plant …, 2022 - academic.oup.com
Cucurbitales are an important order of flowering plants known for encompassing edible
plants of economic and medicinal value and numerous ornamental plants of horticultural …