72 research outputs found
Additional file 2: of LSCplus: a fast solution for improving long read accuracy by short read alignment
Detailed description of the operational steps of LSCplus using the PacBio e-coli dataset ERR1274825 and the Illumina e-coli dataset SRR3372215. (PDF 59 kb
Additional file 1: of LSCplus: a fast solution for improving long read accuracy by short read alignment
Pseudo code for LSCplus Error Correction and Flowcharts of the Error Correction Steps in LSCplus and LSC. (PDF 541 kb
Supplemental material for Connecting the city: A three-dimensional pedestrian network of Hong Kong
Supplemental Material for Connecting the city: A three-dimensional pedestrian network of Hong Kong by Guibo Sun, Chris Webster and Xiaohu Zhang in EPB: Urban Analytics and City Science</p
The protein-protein interaction network of T2D.
The protein-protein interaction network of T2D.</p
Data searches and browsers for Proteins and the construction of the PPI network.
<p>Nodes and edges can be clicked on to access more information on the network. Each edge is supported by public database records.</p
The construction of protein-protein interaction networks using ‘SOCS3.’
The construction of protein-protein interaction networks using ‘SOCS3.’</p
Summary of the data collections.
<p>(a) Data record numbers for Plants, Compounds and Bio-targets. (b) Data record reference quantities for Plants-Compounds and Compounds-Targets.</p
The relationship between data tables and data sources.
<p>Reference data for Plants-Compounds were collected from SciFinder Scholar, and reference data for Compounds-Targets were collected from PubMed MEDLINE. For medicinal plant researchers or traditional medicine developers, the relationship between plants and targets can be obtained from our database.</p
Sample outputs of Plant-Compound-Target networks.
<p>(COLOR: Green Nodes-Plants, Yellow Nodes-Compounds, Red Nodes-Target Proteins; SHAPE: Diamond-T1D, Hexagon-T2D, Triangle-CAD). (A) Plant-Compound-Target network selected from the TarNet database. (B) Compound-Target Network. (C) Plant and its ingredients. (D) Medicinal plant and its target.</p
A broad collection of data on PPI datasets.
<p>A broad collection of data on PPI datasets.</p
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