Whole‐genome sequencing approaches for conservation biology: Advantages, limitations and practical recommendations

AP Fuentes‐Pardo, DE Ruzzante - Molecular ecology, 2017 - Wiley Online Library
Whole‐genome resequencing (WGR) is a powerful method for addressing fundamental
evolutionary biology questions that have not been fully resolved using traditional methods …

RNA-seq data science: From raw data to effective interpretation

D Deshpande, K Chhugani, Y Chang… - Frontiers in …, 2023 - frontiersin.org
RNA sequencing (RNA-seq) has become an exemplary technology in modern biology and
clinical science. Its immense popularity is due in large part to the continuous efforts of the …

Similarities and differences between variants called with human reference genome HG19 or HG38

B Pan, R Kusko, W Xiao, Y Zheng, Z Liu, C Xiao… - BMC …, 2019 - Springer
Background Reference genome selection is a prerequisite for successful analysis of next
generation sequencing (NGS) data. Current practice employs one of the two most recent …

MycoSNP: A Portable Workflow for Performing Whole-Genome Sequencing Analysis of Candida auris

UR Bagal, J Phan, RM Welsh, E Misas… - Candida auris: Methods …, 2022 - Springer
Candida auris is an urgent public health threat characterized by high drug-resistant rates
and rapid spread in healthcare settings worldwide. As part of the C. auris response …

NOseq: amplicon sequencing evaluation method for RNA m6A sites after chemical deamination

S Werner, A Galliot, F Pichot, T Kemmer… - Nucleic Acids …, 2021 - academic.oup.com
Methods for the detection of m6A by RNA-Seq technologies are increasingly sought after.
We here present NOseq, a method to detect m6A residues in defined amplicons by virtue of …

Hierarchical Hidden Markov models enable accurate and diverse detection of antimicrobial resistance sequences

SM Lakin, A Kuhnle, B Alipanahi, NR Noyes… - Communications …, 2019 - nature.com
The characterization of antimicrobial resistance genes from high-throughput sequencing
data has become foundational in public health research and regulation. This requires …

[PDF][PDF] Introduction to differential gene expression analysis using RNA-seq

F Dündar, L Skrabanek, P Zumbo - Appl. Bioinformatics, 2015 - researchgate.net
Command-line interface The first steps of the analyses–that are the most computationally
demanding–will be performed directly on our servers. The interaction with our servers is …

Α quantum pattern recognition method for improving pairwise sequence alignment

K Prousalis, N Konofaos - Scientific reports, 2019 - nature.com
Quantum pattern recognition techniques have recently raised attention as potential
candidates in analyzing vast amount of data. The necessity to obtain faster ways to process …

SePIA: RNA and small RNA sequence processing, integration, and analysis

K Icay, P Chen, A Cervera, V Rantanen, R Lehtonen… - BioData mining, 2016 - Springer
Background Large-scale sequencing experiments are complex and require a wide spectrum
of computational tools to extract and interpret relevant biological information. This is …

[HTML][HTML] A next-generation sequencing strategy for evaluating the most common genetic abnormalities in multiple myeloma

C Jiménez, M Jara-Acevedo, LA Corchete… - The Journal of Molecular …, 2017 - Elsevier
Identification and characterization of genetic alterations are essential for diagnosis of
multiple myeloma and may guide therapeutic decisions. Currently, genomic analysis of …