Low-input Library
Low-input Library - Related Videos
10:28
Ultralow Input Genome Sequencing Library Preparation from a Single Tardigrade Specimen
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Cited by 11 •
2018
Contamination during the genomic sequencing of microscopic organisms remains a large problem. Here, we show a method to sequence the genome of a tardigrade from a single specimen with as little as 50 pg of genomic DNA without whole genome amplification to minimize the risk of contamination.
01:15
Input Efficiency II
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2025
In any production process, resources such as labor and capital must be allocated efficiently to maximize output. When multiple producers rely on the same fixed resources, the challenge is to distribute these inputs in a way that ensures no further improvements can be made without reducing another producer’s output.Efficiency in resource allocation is analyzed using isoquants, which represent different combinations of inputs that produce the same level of output. If an allocation allows at least...
01:26
Input Efficiency I
0 Views •
2025
Input Efficiency in Resource AllocationInput efficiency refers to the way productive resources like labor and capital are distributed across industries to maximize overall output. Unlike exchange efficiency, which deals with consumer goods allocation, input efficiency determines how resources are assigned to different production activities.Deciding How to Allocate ResourcesSince resources are limited, choices must be made about their use. Should engineers work in the automotive sector or the...
10:32
A Universal Protocol for Large-scale gRNA Library Production from any DNA Source
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Cited by 2 •
2017
Methods for generating large-scale gRNA libraries should be simple, efficient and cost-effective. We describe a protocol for the production of gRNA libraries based on enzymatic digestion of target DNA. This method, CORALINA (comprehensive gRNA library generation through controlled nuclease activity) presents an alternative to costly custom oligonucleotide synthesis.
12:01
3' End Sequencing Library Preparation with A-seq2
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Cited by 9 •
2017
This protocol describes a method for mapping pre-mRNA 3' end processing sites.
FAQs
Limited-cycle amplification enriches the small number of library molecules produced from scarce DNA or RNA, making them sufficient for genetic analysis. Restricting amplification helps preserve the sequence information represented in the original material while limiting material loss during preparation. This balance is important when every recovered molecule may contribute to variant detection or transcriptome profiling.
Adapters connect processed DNA or RNA-derived molecules to the sequencing platform used for analysis. Their attachment converts the prepared molecules into a compatible library rather than leaving them as unstructured sample fragments. Because adapter addition occurs before limited-cycle enrichment, it links sequence-containing molecules to the downstream process that generates usable genetic data.
Scarce samples provide few molecules to begin with, so losses during processing can reduce the information available for sequencing. Low-input preparation addresses this constraint by minimizing material loss and enriching the recovered library with limited amplification. The approach is therefore valuable for single cells, rare clinical specimens, and precious biological materials that cannot easily be replaced.
The starting material may be scarce, degraded, or available as either DNA or RNA, and these differences affect how it is converted into a sequencing-ready library. The preparation must accommodate the material that can actually be recovered while retaining its sequence information. This flexibility supports genetic studies across difficult-to-obtain samples rather than only abundant, intact specimens.
Preparation begins with the available DNA or RNA, followed by processing that fragments DNA or converts RNA into library-compatible molecules. Platform-specific adapters are then attached, and limited-cycle amplification enriches the resulting library. These stages create a sequence-containing product suitable for next-generation sequencing while using the starting sample efficiently.
Researchers choose this approach when the specimen is too limited, rare, degraded, or precious for a workflow requiring more starting material. Examples include single-cell experiments, rare clinical specimens, and irreplaceable biological materials. It allows sequencing-based genetic analysis to proceed when sample availability, rather than the research question, is the primary limitation.
Low-input libraries can support several forms of genetic analysis, including variant detection, transcriptome profiling, and studies of genetic diversity. The specific information depends on whether the starting material is DNA or RNA and how it is processed into a library. Consequently, the method can connect limited specimens with both sequence variation and gene-expression-oriented investigations.