[图书][B] Computational phylogenetics: an introduction to designing methods for phylogeny estimation

T Warnow - 2018 - books.google.com
A comprehensive account of both basic and advanced material in phylogeny estimation,
focusing on computational and statistical issues. No background in biology or computer …

A fast Q-learning based data storage optimization for low latency in data center networks

Z Liao, J Peng, Y Chen, J Zhang, J Wang - IEEE Access, 2020 - ieeexplore.ieee.org
Data storage optimizations (DS, eg low latency for data access) in data center networks
(DCN) are difficult online-making problems. Previously, they are done with heuristics under …

[图书][B] Parameter advising for multiple sequence alignment

D DeBlasio, J Kececioglu - 2018 - books.google.com
This book develops a new approach called parameter advising for finding a parameter
setting for a sequence aligner that yields a quality alignment of a given set of input …

Automating parameter selection to avoid implausible biological pathway models

CS Magnano, A Gitter - NPJ systems biology and applications, 2021 - nature.com
A common way to integrate and analyze large amounts of biological “omic” data is through
pathway reconstruction: using condition-specific omic data to create a subnetwork of a …

More accurate transcript assembly via parameter advising

D Deblasio, K Kim, C Kingsford - Journal of Computational Biology, 2020 - liebertpub.com
Computational tools used for genomic analyses are becoming more accurate but also
increasingly sophisticated and complex. This introduces a new problem in that these pieces …

Parameter advising for multiple sequence alignment

D DeBlasio, J Kececioglu - BMC bioinformatics, 2015 - Springer
Background While the multiple sequence alignment output by an aligner strongly depends
on the parameter values used for its alignment scoring function (ie choice of gap penalties …

Ensemble multiple sequence alignment via advising

D DeBlasio, J Kececioglu - Proceedings of the 6th ACM Conference on …, 2015 - dl.acm.org
The multiple sequence alignments computed by an aligner for different settings of its
parameters, as well as the alignments computed by different aligners using their default …

Adaptive, sample-specific parameter selection for more accurate transcript assembly

Y Shen, Z Yan, C Kingsford - bioRxiv, 2024 - biorxiv.org
Transcript assemblers are tools to reconstruct expressed transcripts from RNA-seq data.
These tools have a large number of tunable parameters, and accurate transcript assembly …

[PDF][PDF] Exploiting large datasets improves accuracy estimation for multiple sequence alignment

L Cedillo, HR Ruiz, D DeBlasio - bioRxiv, 2022 - scholar.archive.org
Multiple sequence alignment is a fundamental problem in bioinformatics, which is why a
large number of tools are used to align sequences under a prescribed (biologically inspired) …

Fast exact sequence alignment using parallel computing

RA Al-Hussien, QB Baker… - 2018 9th International …, 2018 - ieeexplore.ieee.org
Bioinformatics is a growing field that attracts many researchers and continues to prove its
value and significance. Since the early days of discovering genomic martial and using it to …