Results 11 to 20 of about 1,611,042 (316)

Comparison of Short-Read Sequence Aligners Indicates Strengths and Weaknesses for Biologists to Consider

open access: yesFrontiers in Plant Science, 2021
Aligning short-read sequences is the foundational step to most genomic and transcriptomic analyses, but not all tools perform equally, and choosing among the growing body of available tools can be daunting.
Ryan Musich   +3 more
doaj   +1 more source

Recent developments in the MAFFT multiple sequence alignment program

open access: yesBriefings in Bioinformatics, 2008
Kazutaka Katoh   +2 more
exaly   +2 more sources

Tailored Uniaxial Alignment of Nanowires Based on Off-Center Spin-Coating for Flexible and Transparent Field-Effect Transistors

open access: yesNanomaterials, 2022
The alignment of nanowires (NWs) has been actively pursued for the production of electrical devices with high-operating performances. Among the generally available alignment processes, spin-coating is the simplest and fastest method for uniformly ...
Giwon Lee   +6 more
doaj   +1 more source

MP-Align: alignment of metabolic pathways [PDF]

open access: yesBMC Systems Biology, 2014
Abstract Background Comparing the metabolic pathways of different species is useful for understanding metabolic functions and can help in studying diseases and engineering drugs. Several comparison techniques for metabolic pathways have been introduced in the literature as a first attempt in this direction.
Ricardo Alberich   +4 more
openaire   +3 more sources

Review and Alignment of Domain-Level Ontologies for Materials Science

open access: yesIEEE Access, 2023
The growing complexity and interdisciplinary nature of Materials Science research demand efficient data management and exchange through structured knowledge representation.
Anne De Baas   +10 more
doaj   +1 more source

Align, then memorise: the dynamics of learning with feedback alignment* [PDF]

open access: yesJournal of Statistical Mechanics: Theory and Experiment, 2022
Abstract Direct feedback alignment (DFA) is emerging as an efficient and biologically plausible alternative to backpropagation for training deep neural networks. Despite relying on random feedback weights for the backward pass, DFA successfully trains state-of-the-art models such as transformers. On the other hand,
Refinetti, Maria   +3 more
openaire   +6 more sources

Statistical Analysis of Track Geometry Parameters on Tramway Line No. 1 in Budapest

open access: yesThe Baltic Journal of Road and Bridge Engineering, 2022
The article examines the superstructures of the tramway tracks of tramway line No. 1 in Budapest (the capital of Hungary). Since the first appearance of tramways, several technological advancements have been made to serve passenger needs as efficiently ...
Vivien Jover, Szabolcs Fischer
doaj   +1 more source

The whole alignment and nothing but the alignment: the problem of spurious alignment flanks [PDF]

open access: yesNucleic Acids Research, 2008
Pairwise sequence alignment is a ubiquitous tool for inferring the evolution and function of DNA, RNA and protein sequences. It is therefore essential to identify alignments arising by chance alone, i.e. spurious alignments. On one hand, if an entire alignment is spurious, statistical techniques for identifying and eliminating it are well known. On the
Frith, Martin C.   +3 more
openaire   +2 more sources

Graph-Based Genome Alignment and Genotyping with HISAT2 and HISAT-genotype

open access: yesNature Biotechnology, 2019
The human reference genome represents only a small number of individuals, which limits its usefulness for genotyping. We present a method named HISAT2 (hierarchical indexing for spliced alignment of transcripts 2) that can align both DNA and RNA ...
Daehwan Kim   +4 more
semanticscholar   +1 more source

BeaverTails: Towards Improved Safety Alignment of LLM via a Human-Preference Dataset [PDF]

open access: yesNeural Information Processing Systems, 2023
In this paper, we introduce the \textsc{BeaverTails} dataset, aimed at fostering research on safety alignment in large language models (LLMs). This dataset uniquely separates annotations of helpfulness and harmlessness for question-answering pairs, thus ...
Jiaming Ji   +8 more
semanticscholar   +1 more source

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