Match!
GigaScience
IF
4.69
Papers
646
Papers 699
1 page of 70 pages (699 results)
Newest
#1Vi Nguyen Thanh Le (ECU: Edith Cowan University)H-Index: 1
#1Le Vnt (ECU: Edith Cowan University)
Last. Kamal Alameh (ECU: Edith Cowan University)H-Index: 21
view all 4 authors...
BACKGROUND: Weeds are a major cause of low agricultural productivity. Some weeds have morphological features similar to crops, making them difficult to discriminate. RESULTS: We propose a novel method using a combination of filtered features extracted by combined Local Binary Pattern operators and features extracted by plant-leaf contour masks to improve the discrimination rate between broadleaf plants. Opening and closing morphological operators were applied to filter noise in plant images. The...
Source
#1Ekaterina NoskovaH-Index: 1
#2Vladimir UlyantsevH-Index: 8
Last. Pavel Dobrynin (SCBI: Smithsonian Conservation Biology Institute)H-Index: 9
view all 5 authors...
BACKGROUND: The demographic history of any population is imprinted in the genomes of the individuals that make up the population. One of the most popular and convenient representations of genetic information is the allele frequency spectrum (AFS), the distribution of allele frequencies in populations. The joint AFS is commonly used to reconstruct the demographic history of multiple populations, and several methods based on diffusion approximation (e.g., partial differentiala partial differential...
Source
#1Shuang JiangH-Index: 2
#2Haishan AnH-Index: 1
Last. Xueying ZhangH-Index: 1
view all 4 authors...
BACKGROUND: The loquat (Eriobotrya japonica) is a species of flowering plant in the family Rosaceae that is widely cultivated in Asian, European, and African countries. It blossoms in the winter and ripens in the early summer. The genome of loquat has to date not been published, which limits the study of molecular biology in this cultivated species. Here, we used the third-generation sequencing technology of Nanopore and Hi-C technology to sequence the genome of Eriobotrya. FINDINGS: We generate...
Source
#1Marcus Wagner (Leipzig University)H-Index: 5
#2Sarah Reinke (CAU: University of Kiel)H-Index: 1
Last. Ulf-Dietrich Braumann (Fraunhofer Society)H-Index: 1
view all 5 authors...
BACKGROUND: We present an image dataset related to automated segmentation and counting of macrophages in diffuse large B-cell lymphoma (DLBCL) tissue sections. For the classification of DLBCL subtypes, as well as for providing a prognosis of the clinical outcome, the analysis of the tumor microenvironment and, particularly, of the different types and functions of tumor-associated macrophages is indispensable. Until now, however, most information about macrophages has been obtained either in a co...
Source
#1Xupo Ding (Chinese Academy of Tropical Agricultural Sciences)H-Index: 1
#2Wen-Li Mei (Chinese Academy of Tropical Agricultural Sciences)H-Index: 19
Last. Pei Wang (Chinese Academy of Tropical Agricultural Sciences)H-Index: 4
view all 17 authors...
BACKGROUD: Aquilaria sinensis (Lour.) Spreng is one of the important plant resources involved in the production of agarwood in China. The agarwood resin collected from wounded Aquilaria trees has been used in Asia for aromatic or medicinal purposes from ancient times, although the mechanism underlying the formation of agarwood still remains poorly understood owing to a lack of accurate and high-quality genetic information. FINDINGS: We report the genomic architecture of A. sinensis by using an i...
Source
#1Yulin WangH-Index: 5
#2Zha SangH-Index: 2
Last. Hongjun YuanH-Index: 5
view all 7 authors...
BACKGROUND: Tibetan hull-less barley (Hordeum vulgare L. var. nudum) is one of the primary crops cultivated in the mountains of Tibet and encounters low temperature, high salinity, and drought. Specifically, drought is one of the major abiotic stresses that affect and limit Tibetan barley growth. Osmotic stress is often simultaneously accompanied by drought conditions. Thus, to improve crop yield, it is critical to explore the molecular mechanism governing the responses of hull-less barley to os...
Source
#1Hao Chen (JXAU: Jiangxi Agricultural University)H-Index: 3
#2Min Huang (JXAU: Jiangxi Agricultural University)H-Index: 1
Last. Lusheng Huang (JXAU: Jiangxi Agricultural University)H-Index: 26
view all 8 authors...
BACKGROUND: Pigs were domesticated independently from European and Asian wild boars nearly 10,000 years ago. Chinese indigenous pigs have been historically introduced to improve Europe local pigs. However, the geographic origin and biological functions of introgressed Chinese genes in modern European pig breeds remain largely unknown. RESULTS: Here we explored whole-genome sequencing data from 266 Eurasian wild boars and domestic pigs to produce a fine-scale map of introgression between French L...
Source
#1Jin Zhang (ORNL: Oak Ridge National Laboratory)H-Index: 14
#2Rongbin Hu (ORNL: Oak Ridge National Laboratory)H-Index: 5
Last. Jeremy Schmutz (LBNL: Lawrence Berkeley National Laboratory)H-Index: 1
view all 18 authors...
BACKGROUND: Crassulacean acid metabolism (CAM), a specialized mode of photosynthesis, enables plant adaptation to water-limited environments and improves photosynthetic efficiency via an inorganic carbon-concentrating mechanism. Kalanchoe fedtschenkoi is an obligate CAM model featuring a relatively small genome and easy stable transformation. However, the molecular responses to light quality and intensity in CAM plants remain understudied. RESULTS: Here we present a genome-wide expression atlas ...
Source
#1Hailin Pan (KIZ: Kunming Institute of Zoology)H-Index: 2
#2Theresa L. Cole (University of Otago)H-Index: 5
Last. Lisa S. Argilla (Otago Polytechnic)
view all 46 authors...
Source
#1Edi Prifti (University of Paris)H-Index: 1
#2Yann Chevaleyre (Paris Dauphine University)H-Index: 23
Last. Jean-Daniel Zucker (University of Paris)H-Index: 26
view all 7 authors...
BACKGROUND: Microbiome biomarker discovery for patient diagnosis, prognosis, and risk evaluation is attracting broad interest. Selected groups of microbial features provide signatures that characterize host disease states such as cancer or cardio-metabolic diseases. Yet, the current predictive models stemming from machine learning still behave as black boxes and seldom generalize well. Their interpretation is challenging for physicians and biologists, which makes them difficult to trust and use ...
Source
12345678910
Top fields of study
Genome
Sequence assembly
Genetics
Bioinformatics
Computational biology
Biology