View source for CNCI

[[Category:Software]][[Category:Phylogenetics]]
{|<!--CONFIGURATION: REQUIRED-->
|{{#vardefine:app|cnci}}
|{{#vardefine:url|https://github.com/www-bioinfo-org/CNCI}}
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|{{#vardefine:conf|}}           <!--CONFIGURATION-->
|{{#vardefine:exe|}}            <!--ADDITIONAL INFO-->
|{{#vardefine:job|}}            <!--JOB SCRIPTS-->
|{{#vardefine:policy|}}         <!--POLICY-->
|{{#vardefine:testing|}}       <!--PROFILING-->
|{{#vardefine:faq|}}             <!--FAQ-->
|{{#vardefine:citation|1}}       <!--CITATION-->
|{{#vardefine:installation|}} <!--INSTALLATION-->
|}
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<!--Description-->
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{{App_Description|app={{#var:app}}|url={{#var:url}}|name={{#var:app}}}}|}}

It is a challenge to classify protein-coding or non-coding transcripts, especially those re-constructed from high-throughput sequencing data of poorly annotated species. We developed and evaluated a powerful signature tool, Coding-Non-Coding Index (CNCI), by profiling adjoining nucleotide triplets to effectively distinguish protein-coding and non-coding sequences independent of known annotations. CNCI is effective for classifying incomplete transcripts and sense-antisense pairs. The implementation of CNCI offered highly accurate classification of transcripts assembled from whole-transcriptome sequencing data in a cross-species manner, that demonstrated gene evolutionary divergence between vertebrates, and invertebrates, or between plants, and provided a long non-coding RNA catalog of orangutan.

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==Environment Modules==
Run <code>module spider {{#var:app}}</code> to find out what environment modules are available for this application.
==System Variables==
* HPC_{{uc:{{#var:app}}}}_DIR - installation directory
* HPC_{{uc:{{#var:app}}}}_BIN - executable directory

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{{#if: {{#var: conf}}|==Configuration==
See the [[{{PAGENAME}}_Configuration]] page for {{#var: app}} configuration details.
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{{#if: {{#var: exe}}|==Additional Information==

WRITE_ADDITIONAL_INSTRUCTIONS_ON_RUNNING_THE_SOFTWARE_IF_NECESSARY

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{{#if: {{#var: job}}|==Job Script Examples==
See the [[{{PAGENAME}}_Job_Scripts]] page for {{#var: app}} Job script examples.
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{{#if: {{#var: policy}}|==Usage Policy==

WRITE USAGE POLICY HERE (Licensing, usage, access).

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{{#if: {{#var: testing}}|==Performance==

WRITE_PERFORMANCE_TESTING_RESULTS_HERE

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<!--Faq-->
{{#if: {{#var: faq}}|==FAQ==
*'''Q:''' **'''A:'''|}}
<!--Citation-->
{{#if: {{#var: citation}}|==Citation==
If you publish research that uses {{#var:app}} you have to cite it as follows:

[https://academic.oup.com/nar/article/41/17/e166/2411728 Liang Sun, Haitao Luo, Dechao Bu, Guoguang Zhao, Kuntao Yu, Changhai Zhang, Yuanning Liu, RunSheng Chen and Yi Zhao* Utilizing sequence intrinsic composition to classify protein-coding and long non-coding transcripts. Nucleic Acids Research (2013), doi: 10.1093/nar/gkt646]

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{{#if: {{#var: installation}}|==Installation==
See the [[{{PAGENAME}}_Install]] page for {{#var: app}} installation notes.|}}
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