This dataset contains the digitized treatments in Plazi based on the original journal article Zhang, Xinhua, Teixeira da Silva, Jaime A., Niu, Meiyun, Zhang, Ting, Liu, Huanfang, Zheng, Feng, Yuan, Yunfei, Li, Yuan, Fang, Lin, Zeng, Songjun, Ma, Guohua (2021): Functional characterization of an Indian sandalwood (Santalum album L.) dual-localized bifunctional nerolidol / linalool synthase gene involved in stress response. Phytochemistry (112610) 183: 1-12, DOI: 10.1016/j.phytochem.2020.112610, URL: http://dx.doi.org/10.1016/j.phytochem.2020.112610

An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.

Quality Control (QC) and preprocessing are essential steps for sequencing data analysis to ensure the accuracy of results. However, existing tools cannot provide a satisfying solution with integrated comprehensive functions, proper architectures and highly-scalable acceleration. In this article, we demonstrate SOAPnuke as a tool with abundant functions for a QC-Preprocess-QC workflow and MapReduce acceleration framework. Four modules with different preprocessing functions are designed for processing datasets from genomic, small RNA (sRNA), Digital Gene Expression (DGE) and metagenomic experiments respectively. As a workflow-like tool, SOAPnuke centralizes processing functions in one executable and predefine their order to avoid the necessity of reformatting different files when switching tools. Furthermore, the MapReduce framework enables large scalability to distribute all the processing works to an entire compute cluster. We conducted a benchmarking where SOAPnuke and other tools are used to preprocess ~30x NA12878 dataset published by GIAB. The standalone operation of SOAPnuke struck a balance between resource occupancy and performance. When accelerated on 16 working nodes with MapReduce, SOAPnuke achieved ~5.7 times of the fastest speed of other tools.

How an insect evolves to become a successful herbivore is of profound biological and practical importance. Herbivores are often adapted to feed on a specific group of evolutionarily and biochemically related host plants, but the genetic and molecular bases for adaptation to plant defense compounds remain poorly understood.
P. xylostella has become the most destructive pest of economically important food crops, including rapeseed, cauliflower and cabbage. This insect is the first species to have evolved resistance to dichlorodiphenyltrichloroethane (DDT) in the 1950s and to Bacillus thuringiensis (Bt) toxins in the 1990s and has developed resistance to all classes of insecticide, making it increasingly difficult to control.
A strain of the diamondback moth (DBM) (Fuzhou-S), P. xylostella, was reared on radish seedlings without exposure to insecticides for 5 years, spanning at least 100 generations. An inbred line was developed by successive single-pair sibling matings. Male pupae were used for genome sequencing.
DNA from the diamondback moth was collected in Fuzhou, China. We sequenced the 0.34 Gb genome to a depth of approximately 131.2 X with short reads from a series of libraries with various insert sizes ( 250bp and 500bp libraries per fosmid clone) on a HiSeq 2000 sequencer.
The assembled scaffolds have an N50 of 0.7 Mb. We identified 18,071 protein-coding genes.

Updated genomic data from the YH (Homo sapiens) diploid genome the first sequenced Han Chinese individual, a representative of the Asian population. The genomic DNA used in this study came from an anonymous male Han Chinese individual who has no known genetic diseases.The original version of the YH genome was assembled based on 3.3 billion reads using the Illumina Genome Analyzer (see dataset doi:10.5524/100015). This latest (as of 07/2012) and improved version of the YH genome was assembled based on 2.1 billion reads using the Illumina HiSeq2000. A total of 202G nucleotides data was achieved using 100 bp-long paired end reads with an insert size ranging from 180 bp to 40 kbp, and the genome was sequenced to 67.5-fold average coverage. The latest version of SOAPdenovo2 was used to reassemble, improve and update the previously assembled genome (tools and pipelines available here: doi:10.5524/100044). By aligning the short reads with SOAP, 177G nucleotides were mapped onto the NCBI reference genome and 99.99% of the genome was covered. The raw sequences, assemblies and relevant tools are released for public use under a CC0 license.More information about the YH genome can be viewed at: http://yh.genomics.org.cn/

The giant panda (Ailuropoda melanoleuca) is considered a symbol of China and is a much loved animal all around the world. It is also one of the worlds most endangered species, making it a flagship species for conservation efforts. As the first fully sequenced Ursidae and the second fully sequenced carnivore after the dog, the whole genome sequence and annotation data provide an unparalleled amount of information to aid in understanding the genetic and biological underpinnings of this unique species, and will help contribute to disease control and conservation efforts.In 2008, BGI completed a first draft of the genome sequence of a three-year old female giant panda named Jingjing, who was used as a model for the 2008 Olympics in Beijing, China (doi: 10.1038/nature08696). Using second-generation Illumina GA sequencing data, the first de novo genome assembly was created using short-read sequencing technology. Here you will find the giant panda genome sequence assembly as well as annotation information, such as gene structure and function, non-coding RNAs, and repeat elements. Also presented are polymorphism information detected in the diploid genome, including SNPs, indels, and structural variations (SVs). The assembly was done using SOAPdenovo software and the panda genome data is visualized via MapView, which is powered by the Google Web Toolkit.

Here we present genomic data for the domestic cucumber (Cucumis sativus var. sativus L.). The cucumber is a member of the Cucurbitaceae or cucurbit family, a family of great agricultural and horticultural importance that also includes species such as melons, gourds and squashes. A biologically interesting as well as an economically relevant species, it is used as a model system for plant sex determination and vascular biology studies.The domestic cucumber has seven pairs of chromosomes and a haploid genome of 367 Mb, a smaller genome for the Cucurbitaceae family. The genome was sequenced and assembled with N50 contig and scaffold sizes of 19.8 Kb and 1.14 Mb, respectively. Using the genetic map, 72.8% of the assembled sequences were anchored onto the 7 chromosomes. A total of 26,682 genes were predicted in the current cucumber genome.

Genomic data from the YH (Homo sapiens) genome first diploid genome sequence of a Han Chinese, a representative of the Asian population. The genomic DNA used in this study came from an anonymous male Han Chinese individual who has no known genetic diseases.The YH genome was assembled based on 3.3 billion reads using the Illumina Genome Analyzer. We achieved 117.7G nucleotides data and the genome was sequenced to 36-fold average coverage. By aligning the short reads with SOAP, 102.9G nucleotides were mapped onto the NCBI reference genome and 99.97% of the genome was covered. The raw sequences, alignments, consensus genome, variants and relevant tools are released for public use under a CC0 license.