Bioinformatics approaches to single-cell analysis in developmental biology.

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Machine learning for epigenetics and future medical applications.Single-Cell Genomic Analysis in Plants.Single-cell Gene Expression Using Multiplex RT-qPCR to Characterize Heterogeneity of Rare Lymphoid Populations.

P2860

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P2860

Bioinformatics approaches to single-cell analysis in developmental biology.

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http://www.wikidata.org/entity/Q38584509

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2015 nî lūn-bûn

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2015年論文

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2015年論文

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2015年論文

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2015年論文

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2015年論文

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2015年论文

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2015年论文

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name

Bioinformatics approaches to single-cell analysis in developmental biology.

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type

Item

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Bioinformatics approaches to single-cell analysis in developmental biology.

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Bioinformatics approaches to single-cell analysis in developmental biology.

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P1476

Bioinformatics approaches to single-cell analysis in developmental biology.

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P2093

Dicle Yalcin

http://www.w3.org/2001/XMLSchema#string

Hasan H Otu

http://www.w3.org/2001/XMLSchema#string

Zeynep M Hakguder

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P2860

Current challenges in the bioinformatics of single cell genomics.

What's new is old: resolving the identity of Leptothrix ochracea using single cell genomics, pyrosequencing and FISH

Single virus genomics: a new tool for virus discovery

Whole genome amplification and de novo assembly of single bacterial cells.

Quartz-Seq: a highly reproducible and sensitive single-cell RNA sequencing method, reveals non-genetic gene-expression heterogeneity

Genome of a low-salinity ammonia-oxidizing archaeon determined by single-cell and metagenomic analysis

RNA-Seq: a revolutionary tool for transcriptomics

Characterization of the single-cell transcriptional landscape by highly multiplex RNA-seq

Genome-wide detection of single-nucleotide and copy-number variations of a single human cell

High-throughput microfluidic single-cell RT-qPCR

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182-192

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scholarly article

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10.1093/MOLEHR/GAV050

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P478

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2015-09-10T00:00:00Z

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281681070

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26358759

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P921

bioinformatics

Bioinformatics approaches to single-cell analysis in developmental biology.

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P2860

P2860

Bioinformatics approaches to single-cell analysis in developmental biology.

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type

label

prefLabel

P1433

P1476

P2093

P2860

P304

P31

P356

P433

P478

P577

P5875

P698

P921

P356

P1433

P1476

P2093

P2860

P304

P31

P356

P433

P478

P577

P5875

P698

P921