Results 61 to 70 of about 789,685 (173)

Transformer Neural Networks Attending to Both Sequence and Structure for Protein Prediction Tasks [PDF]

arXiv, 2022
The increasing number of protein sequences decoded from genomes is opening up new avenues of research on linking protein sequence to function with transformer neural networks. Recent research has shown that the number of known protein sequences supports learning useful, task-agnostic sequence representations via transformers.
arxiv  

High-throughput sequencing of core STR loci for forensic genetic investigations using the Roche Genome Sequencer FLX platform

BioTechniques, 2011
The analysis and profiling of short tandem repeat (STR) loci is routinely used in forensic genetics. Current methods to investigate STR loci, including PCR-based standard fragment analyses and capillary electrophoresis, only provide amplicon lengths that
Sarah L. Fordyce, Maria C. Ávila-Arcos, Eszter Rockenbauer, Claus Børsting, Rune Frank-Hansen, Frederik Torp Petersen, Eske Willerslev, Anders J. Hansen, Niels Morling, M. Thomas. P. Gilbert   +9 more
doaj   +1 more source

Novel CRISPR-based sequence specific enrichment methods for target loci and single base mutations.

PLoS ONE, 2020
The programmable sequence specificity of CRISPR has found uses in gene editing and diagnostics. This manuscript describes an additional application of CRISPR through a family of novel DNA enrichment technologies.
Jennifer L Steele, Richard C Stevens, Oscar A Cabrera, Gary J Bassill, Sabrina M Cramer, Felipe Guzman, Anthony P Shuber   +6 more
doaj   +1 more source

On the Fuzzy Convergence

Journal of Applied Mathematics, 2011
The aim of this paper is to introduce and study the fuzzy neighborhood, the limit fuzzy number, the convergent fuzzy sequence, the bounded fuzzy sequence, and the Cauchy fuzzy sequence on the base which is adopted by Abdul Hameed (every real number r is ...
Abdul Hameed Q. A. Al-Tai
doaj   +1 more source

Binary Random Sequences Obtained From Decimal Sequences [PDF]

arXiv, 2008
This paper presents a twist to the generation of binary random sequences by starting with decimal sequences. Rather than representing the prime reciprocal sequence directly in base 2, we first right the prime reciprocal in base 10 and then convert it into the binary form. The autocorrelation and cross-correlation properties of these binary random (BRD)
arxiv  

A repetitive sequence assembler based on next-generation sequencing

Genetics and Molecular Research, 2016
Repetitive sequences of variable length are common in almost all eukaryotic genomes, and most of them are presumed to have important biomedical functions and can cause genomic instability. Next-generation sequencing (NGS) technologies provide the possibility of identifying capturing these repetitive sequences directly from the NGS data.
Y Wang, Y Tu, Xinwu Chen, Shuaibin Lian, Ling-Ling Wang   +4 more
openaire   +3 more sources

Low Base-Substitution Mutation Rate but High Rate of Slippage Mutations in the Sequence Repeat-Rich Genome of Dictyostelium discoideum

G3: Genes, Genomes, Genetics, 2020
We describe the rate and spectrum of spontaneous mutations for the social amoeba Dictyostelium discoideum, a key model organism in molecular, cellular, evolutionary and developmental biology. Whole-genome sequencing of 37 mutation accumulation lines of D.
Sibel Kucukyildirim, Megan Behringer, Way Sung, Debra A. Brock, Thomas G. Doak, Hatice Mergen, David C. Queller, Joan E. Strassmann, Michael Lynch   +8 more
doaj   +1 more source

On the classification of Stanley sequences [PDF]

arXiv, 2014
An integer sequence is said to be 3-free if no three elements form an arithmetic progression. Following the greedy algorithm, the Stanley sequence $S(a_0,a_1,\ldots,a_k)$ is defined to be the 3-free sequence $\{a_n\}$ having initial terms $a_0,a_1,\ldots,a_k$ and with each subsequent term $a_n>a_{n-1}$ chosen minimally such that the 3-free condition is
arxiv  

Almost multiphase sequences based on Chu sequences

Electronics Letters, 2015
A new family of almost multiphase sequences (AMPSs) with perfect periodic autocorrelation function (PACF) is offered. The obtained sequences are based on Chu sequences and differ from them by the structure, the peak-factor which is nearly equal to one, and by fewer phases for the same periods.
V.E. Gantmakher, M.V. Zaleshin
openaire   +2 more sources

Application of Sequence Embedding in Protein Sequence-Based Predictions

, 2022
In sequence-based predictions, conventionally an input sequence is represented by a multiple sequence alignment (MSA) or a representation derived from MSA, such as a position-specific scoring matrix. Recently, inspired by the development in natural language processing, several applications of sequence embedding have been observed.
Ibtehaz, Nabil, Kihara, Daisuke
openaire   +2 more sources