High-throughput methods
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The ability to profile and quantify small non-coding RNAs (sRNAs), specifically microRNAs (miRNAs), using highthroughput sequencing is challenging because of their small size. We developed QsRNA-seq, a method for preparation of sRNA libraries for high-throughput sequencing that overcomes this difficulty by enabling a gelfree separation of fragments shorter than 100 nt that differ only by 20 nt in length.
12p vigalileogalilei 27-02-2022 14 2 Download
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The creation of arrays of yeast strains each encoding a different protein with constant tags is a powerful method for understanding how genes and their proteins control cell function. As genetic tools become more sophisticated there is a need to create custom libraries encoding proteins fused with specialised tags to query gene function.
21p vijeeni2711 24-07-2021 9 0 Download
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After over a decade of developments in field collection, laboratory methods and advances in highthroughput sequencing, contamination remains a key issue in ancient DNA research. Currently, human and microbial contaminant DNA still impose challenges on cost-effective sequencing and accurate interpretation of ancient DNA data.
10p vijeeni2711 30-06-2021 12 1 Download
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RNA molecules fold into complex three-dimensional shapes, guided by the pattern of hydrogen bonding between nucleotides. This pattern of base pairing, known as RNA secondary structure, is critical to their cellular function.
9p vioklahoma2711 19-11-2020 14 2 Download
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Recently, rapid improvements in technology and decrease in sequencing costs have made RNA-Seq a widely used technique to quantify gene expression levels. Various normalization approaches have been proposed, owing to the importance of normalization in the analysis of RNA-Seq data.
9p vioklahoma2711 19-11-2020 5 0 Download
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Unsupervised clustering represents one of the most widely applied methods in analysis of highthroughput ‘omics data. A variety of unsupervised model-based or parametric clustering methods and nonparametric clustering methods have been proposed for RNA-seq count data, most of which perform well for large samples, e.g. N ≥ 500.
10p vicoachella2711 27-10-2020 11 0 Download
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A common yet still manual task in basic biology research, highthroughput drug screening and digital pathology is identifying the number, location, and type of individual cells in images. Object detection methods can be useful for identifying individual cells as well as their phenotype in one step.
7p vicolorado2711 22-10-2020 21 1 Download
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Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học Minireview cung cấp cho các bạn kiến thức về ngành y đề tài: Statistical methods and software for the analysis of highthroughput reverse genetic assays using flow cytometry readouts...
12p thulanh20 10-11-2011 36 1 Download