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  2. Single-cell sequencing - Wikipedia

    en.wikipedia.org/wiki/Single-cell_sequencing

    Single-cell sequencing examines the nucleic acid sequence information from individual cells with optimized next-generation sequencing technologies, providing a higher resolution of cellular differences and a better understanding of the function of an individual cell in the context of its microenvironment. [1]

  3. File:Single Cell Genome Sequencing Workflow.pdf - Wikipedia

    en.wikipedia.org/wiki/File:Single_Cell_Genome...

    You are free: to share – to copy, distribute and transmit the work; to remix – to adapt the work; Under the following conditions: attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made.

  4. List of single cell omics methods - Wikipedia

    en.wikipedia.org/wiki/List_of_single_cell_omics...

    A list of more than 100 different single cell sequencing (omics) methods have been published. [1] The large majority of methods are paired with short-read sequencing technologies, although some of them are compatible with long read sequencing.

  5. List of RNA-Seq bioinformatics tools - Wikipedia

    en.wikipedia.org/wiki/List_of_RNA-Seq...

    scLVM [117] scLVM is a modelling framework for single-cell RNA-seq data that can be used to dissect the observed heterogeneity into different sources, thereby allowing for the correction of confounding sources of variation. scM&T-Seq Parallel single-cell sequencing.

  6. Single-cell analysis - Wikipedia

    en.wikipedia.org/wiki/Single-cell_analysis

    This single cell shows the process of the central dogma of molecular biology, which are all steps researchers are interested to quantify (DNA, RNA, and Protein).. In cell biology, single-cell analysis and subcellular analysis [1] refer to the study of genomics, transcriptomics, proteomics, metabolomics, and cellcell interactions at the level of an individual cell, as opposed to more ...

  7. Transcriptomics technologies - Wikipedia

    en.wikipedia.org/wiki/Transcriptomics_technologies

    A single-end sequence is usually quicker to produce, cheaper than paired-end sequencing and sufficient for quantification of gene expression levels. Paired-end sequencing produces more robust alignments/assemblies, which is beneficial for gene annotation and transcript isoform discovery. [ 10 ]

  8. List of open-source bioinformatics software - Wikipedia

    en.wikipedia.org/wiki/List_of_open-source...

    Software platform, allows organizations to integrate, analyze, and share complex biomedical data Linux, macOS, Windows: Apache: LabKey Software Foundation LAMMPS: Molecular dynamics program written in C++: Linux, macOS, Windows: Apache: Sandia National Laboratories. mothur: Software for analysis of 16S rRNA gene amplicon sequence data Linux ...

  9. Category:DNA sequencing - Wikipedia

    en.wikipedia.org/wiki/Category:DNA_sequencing

    Sequencing by hybridization; Short Oligonucleotide Analysis Package; Shotgun sequencing; Single cell epigenomics; Single molecule fluorescent sequencing; Single-cell DNA template strand sequencing; Single-cell sequencing; Single-cell transcriptomics; Single-molecule magnetic sequencing; SNV calling from NGS data; SPAdes (software) Standard ...