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In-silico nano-dissection: Home

This server performs in silico nano-dissection, an approach we developed to identify genes with novel cell-lineage specific expression. This method leverages high-throughput functional genomics data from tissue homogenates to accurately predict genes enriched in specific cell types. F Eichinger, V. Nair, J.B. Hodgin, M. Bitzer, Y. Lee, Q. Zhu, M. Kehata, M. Li, M.P. Rastaldi, C.D. Cohen, O.G. Troyanskaya. Defining cell type specificity at the transcriptional level in human disease.

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In-silico nano-dissection: Home | nano.princeton.edu Reviews

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This server performs in silico nano-dissection, an approach we developed to identify genes with novel cell-lineage specific expression. This method leverages high-throughput functional genomics data from tissue homogenates to accurately predict genes enriched in specific cell types. F Eichinger, V. Nair, J.B. Hodgin, M. Bitzer, Y. Lee, Q. Zhu, M. Kehata, M. Li, M.P. Rastaldi, C.D. Cohen, O.G. Troyanskaya. Defining cell type specificity at the transcriptional level in human disease.

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1 nano dissection

2 gene sets

3 nano dissections

4 start nano dissection

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9 cs greene

10 and m kretzler

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In-silico nano-dissection: Home | nano.princeton.edu Reviews

https://nano.princeton.edu

This server performs in silico nano-dissection, an approach we developed to identify genes with novel cell-lineage specific expression. This method leverages high-throughput functional genomics data from tissue homogenates to accurately predict genes enriched in specific cell types. F Eichinger, V. Nair, J.B. Hodgin, M. Bitzer, Y. Lee, Q. Zhu, M. Kehata, M. Li, M.P. Rastaldi, C.D. Cohen, O.G. Troyanskaya. Defining cell type specificity at the transcriptional level in human disease.

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In-silico nano-dissection: Home

http://nano.princeton.edu/help

Cell-lineage-specific transcripts are essential for differentiated tissue function in metazoan organisms. They are frequently found to be the cause of hereditary disease and mediate progression of acquired diseases. Identifying the tissue specific transcriptome can guide disease gene identification in genetic studies and the development of organ specific therapeutic targets. This server performs an. The next step is to choose the dataset to use for nano-dissection. We recommend choosing the most spec...

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In-silico nano-dissection: Build nano-dissection

http://nano.princeton.edu/build

If checked, the nano-dissection and its standards will be shown in lists of analyses performed on this webserver. Currently you are using the basic view. The. Allows you to note specificity tiers during the analysis. Standards of the highest tier are analyzed first, and then in subsequent iterations lower tiers are evaluated. The nano-dissection strategy identifies the most appropriate standards by comparing results across tiers. Use public tissue sets. Create my own gene set. Use public tissue sets.

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In-silico nano-dissection: Analyses

http://nano.princeton.edu/analysis

This server identifies genes with expression patterns similar to those of genes in "positive" standards and distinct from those of genes in "negative" standards. To discover genes that are expressed in the kidney, for instance, the ideal positive standard would be made up of kidney expressed genes while the ideal negative standard would be made up of genes not expressed in the kidney.

4

In-silico nano-dissection: Standards

http://nano.princeton.edu/standard

By creating new standards, you can examine cell-lineages and tissues that are beyond the scope of current databases. These standards can also be built from internal and unpublished experimental results. This allows for an iterative process that utilizes existing literature evidence to be combined with genome-scale data to inform high specificity molecular experiments.

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greenelab.com

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http://www.greenelab.com/webservers

As we develop new methods, we develop webservers to put these methods into the hands of biologists. Servers that we have developed or co-developed are listed below. If you want to get early access to our new servers, sign up as an early and test user. Early Access User Signup. Sign up here to be offered opportunities to test our webservers as we develop them. We may ask that you share your feedback about either specific or general features during development. Thank you for signing up! Tribe connects webs...

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http://reducio.princeton.edu/cm/node/46

Laboratory for Bioinformatics and Functional Genomics. Genome-wide predictions of autism-associated genes]. Autism spectrum disorder (ASD) is a neurodevelopmental disorder characterized by deficits in social communication and restricted, repetitive patterns of behavior. ASD has a strong genetic basis but we still lack the full complement of autism-associated genes. Genome-wide functional interaction networks for 144 human tissues and cell types ]. Search-based exploration of expression compendia]. SEEK i...

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nano.princeton.edu

In-silico nano-dissection: Home

This server performs in silico nano-dissection, an approach we developed to identify genes with novel cell-lineage specific expression. This method leverages high-throughput functional genomics data from tissue homogenates to accurately predict genes enriched in specific cell types. F Eichinger, V. Nair, J.B. Hodgin, M. Bitzer, Y. Lee, Q. Zhu, M. Kehata, M. Li, M.P. Rastaldi, C.D. Cohen, O.G. Troyanskaya. Defining cell type specificity at the transcriptional level in human disease.

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