ArticleMethods in molecular biology (Clifton, N.J.)2026
Accelerating Genomics: Innovations in Analyzing Limited and Rare Samples.
Article in Methods in molecular biology (Clifton, N.J.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Single-cell genomic analysis offers insights into various biological fields but is challenged by the limited DNA from single cells. Whole genome amplification (WGA) techniques, such as PCR and multiple displacement amplification (MDA), facilitate the creation of high-quality next-generation sequencing (NGS) libraries. Advances in sequencing technologies and enrichment methods have reduced costs and enabled the analysis of a significant number of single cells. Effective cell isolation techniques maintain cell viability and integrity. This article presents a streamlined workflow that includes single-cell dispensing, genome amplification, and NGS library generation.
Indexed as
Identifiers
41478951What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.