rSeqTU—A Machine-Learning Based R Package for Prediction of Bacterial Transcription Units-Reference-Cited by-同舟云学术

rSeqTU—A Machine-Learning Based R Package for Prediction of Bacterial Transcription Units

Published:2019-05-15 Issue: Volume:10 Page:
ISSN:1664-8021
Container-title:Frontiers in Genetics
language:
Short-container-title:Front. Genet.

Author:

Niu Sheng-Yong,Liu Binqiang,Ma Qin,Chou Wen-Chi

Funder

National Science Foundation

Publisher

Frontiers Media SA

Subject

Genetics (clinical),Genetics,Molecular Medicine

Reference17 articles.

1. SeqTU: a web server for identification of bacterial transcription units;Chen,2017

2. OperomeDB: a database of condition-specific transcription units in prokaryotic genomes;Chetal,2015

3. Analysis of strand-specific RNA-seq data using machine learning reveals the structures of transcription units in Clostridium thermocellum;Chou,2015

4. Evaluation of variable selection methods for random forests and omics data sets;Degenhardt;Brief. Bioinform.,2019

5. MicrobesOnline: an integrated portal for comparative and functional genomics;Dehal;Nucleic Acids Res.,2010

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