INSIGHT specifications

Information


Unique identifier OMICS_20256
Name INSIGHT
Alternative names Inference of Natural Selection from Interspersed Genomically coHerent elemenTs, FitCons (Fitness Consequences)
Interface Web user interface
Restrictions to use None
Input format BED
Programming languages C
Computer skills Basic
Stability Stable
Maintained Yes

Documentation


Maintainers


  • person_outline Adam Siepel
  • person_outline Ilan Gronau
  • person_outline Ilan Gronau

Additional information


http://compgen.cshl.edu/INSIGHT/overview.php

Information


Unique identifier OMICS_20256
Name INSIGHT
Alternative names Inference of Natural Selection from Interspersed Genomically coHerent elemenTs, FitCons (Fitness Consequences)
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux
Programming languages C
Computer skills Advanced
Version 1.1
Stability Stable
Source code URL http://compgen.cshl.edu/INSIGHT/downloads/INSIGHT-v1_1.tar.gz
Maintained Yes

Versioning


No version available

Documentation


Maintainers


  • person_outline Adam Siepel
  • person_outline Ilan Gronau
  • person_outline Ilan Gronau

Additional information


http://compgen.cshl.edu/INSIGHT/overview.php

Publication for Inference of Natural Selection from Interspersed Genomically coHerent elemenTs

INSIGHT citation

library_books

Effects of Type 1 Diabetes Risk Alleles on Immune Cell Gene Expression

2017
Genes
PMCID: 5485531
PMID: 28635624
DOI: 10.3390/genes8060167

[…] M5) [], tools such as Combined Annotation–Dependent Depletion (CADD) [], Deleterious Annotation of genetic variants (DANN) [], Functional Analysis Through Hidden Markov Models (FATHMM) [], and Linear Inference of Natural Selection from Interspersed Genomically coHerent elemenTs (LINSIGHT) [] have been developed to predict functionality of variants outside the coding regions. These tools are based […]

INSIGHT institution(s)
Graduate Field of Computer Science, Cornell University, Ithaca, NY, USA; Department of Biological Statistics & Computational Biology, Cornell University, Ithaca, NY, USA
INSIGHT funding source(s)
Supported by NIH grant GM102192, a David and Lucile Packard Fellowship for Science and Engineering, and a postdoctoral fellowship from the Cornell Center for Comparative and Population Genomics.

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