Target sequence data shed new light on the infrafamilial classification of Araceae.
Sign Up to like & getrecommendations! Published in 2022 at "American journal of botany"
DOI: 10.1002/ajb2.16117
Abstract: PREMISE Recent phylogenetic studies of the Araceae have confirmed the position of the duckweeds nested within the aroids, and the monophyly of a clade containing all the unisexual flowered aroids plus the bisexual-flowered Calla palustris.… read more here.
Keywords: araceae; sequence; calla; target sequence ... See more keywords
Generating DNA sequence data with limited resources for molecular biology: Lessons from a barcoding project in Indonesia
Sign Up to like & getrecommendations! Published in 2018 at "Applications in Plant Sciences"
DOI: 10.1002/aps3.1167
Abstract: The advent of the DNA sequencing age has led to a revolution in biology. The rapid and cost‐effective generation of high‐quality sequence data has transformed many fields, including those focused on discovering species and surveying… read more here.
Keywords: dna sequence; sequence data; biology; barcoding project ... See more keywords
A genome-wide study of Hardy–Weinberg equilibrium with next generation sequence data
Sign Up to like & getrecommendations! Published in 2017 at "Human Genetics"
DOI: 10.1007/s00439-017-1786-7
Abstract: Statistical tests for Hardy–Weinberg equilibrium have been an important tool for detecting genotyping errors in the past, and remain important in the quality control of next generation sequence data. In this paper, we analyze complete… read more here.
Keywords: hardy weinberg; sequence data; generation sequence; next generation ... See more keywords
Multiple instance learning for sequence data with across bag dependencies
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Machine Learning and Cybernetics"
DOI: 10.1007/s13042-019-01021-5
Abstract: In Multiple Instance Learning (MIL) problem for sequence data, the instances inside the bags are sequences. In some real world applications such as bioinformatics, comparing a random couple of sequences makes no sense. In fact,… read more here.
Keywords: instance learning; multiple instance; sequence data; across bag ... See more keywords
Prediction of functional metagenomic composition using archived 16S rDNA sequence data from the gut microbiota of livestock
Sign Up to like & getrecommendations! Published in 2018 at "Livestock Science"
DOI: 10.1016/j.livsci.2018.04.017
Abstract: Abstract The volume of microbial genetic terabases in public repositories is getting infamous, yet much of this data has been used only once. On top of this global concern, there is still much to be… read more here.
Keywords: rdna sequence; 16s rdna; livestock; sequence data ... See more keywords
Transcriptome and target DNA enrichment sequence data provide new insights into the phylogeny of vespid wasps (Hymenoptera: Aculeata: Vespidae).
Sign Up to like & getrecommendations! Published in 2017 at "Molecular phylogenetics and evolution"
DOI: 10.1016/j.ympev.2017.08.020
Abstract: The wasp family Vespidae comprises more than 5000 described species which represent life history strategies ranging from solitary and presocial to eusocial and socially parasitic. The phylogenetic relationships of the major vespid wasp lineages (i.e.,… read more here.
Keywords: vespidae; target dna; vespid wasps; sequence data ... See more keywords
Determinants and Prediction of Esterase Substrate Promiscuity Patterns.
Sign Up to like & getrecommendations! Published in 2018 at "ACS chemical biology"
DOI: 10.1021/acschembio.7b00996
Abstract: Esterases receive special attention because of their wide distribution in biological systems and environments and their importance for physiology and chemical synthesis. The prediction of esterases' substrate promiscuity level from sequence data and the molecular… read more here.
Keywords: substrate promiscuity; sequence data; promiscuity; prediction ... See more keywords
Accelerated Bayesian inference of population size history from recombining sequence data
Sign Up to like & getrecommendations! Published in 2024 at "Nature Genetics"
DOI: 10.1038/s41588-025-02323-x
Abstract: I present phlash, a new Bayesian method for inferring population history from whole genome sequence data. phlash is population history learning by averaging sampled histories: it works by drawing random, low-dimensional projections of the coalescent… read more here.
Keywords: history; sequence data; population size; population ... See more keywords
Whole-genome sequencing resources of 301 indigenous Tibetan sheep from the Himalayan region
Sign Up to like & getrecommendations! Published in 2025 at "Scientific Data"
DOI: 10.1038/s41597-025-05650-0
Abstract: Compared to commercial sheep breeds, Tibetan sheep are exceptionally productive in high-altitude environments. Whole-genome sequencing can elucidate the genetic markers and candidate genes related to such economic traits, greatly accelerating the breeding progress. However, a… read more here.
Keywords: sequence data; whole genome; genome sequencing; tibetan sheep ... See more keywords
A comprehensive map of copy number variations in dromedary camels based on whole genome sequence data
Sign Up to like & getrecommendations! Published in 2024 at "Scientific Reports"
DOI: 10.1038/s41598-024-77773-0
Abstract: Copy number variants (CNVs) are structural variants within the eukaryotic genome that vary among individuals of a species. These variants have been associated with different phenotypic traits, making them a valuable consideration as markers for… read more here.
Keywords: sequence data; genome sequence; whole genome; dromedary camels ... See more keywords
General strategies for using amino acid sequence data to guide biochemical investigation of protein function.
Sign Up to like & getrecommendations! Published in 2022 at "Biochemical Society transactions"
DOI: 10.1042/bst20220849
Abstract: The rapid increase of '-omics' data warrants the reconsideration of experimental strategies to investigate general protein function. Studying individual members of a protein family is likely insufficient to provide a complete mechanistic understanding of family… read more here.
Keywords: family; acid sequence; sequence; amino acid ... See more keywords