LGC statistics

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Associated diseases

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LGC specifications

Information


Unique identifier OMICS_29815
Name LGC
Alternative name ORF Length and GC content
Interface Web user interface
Restrictions to use None
Input format FASTA,BED,GTF
Computer skills Basic
Stability Stable
Maintained Yes

Maintainers


  • person_outline Zhang Zhang <>
  • person_outline Lina Ma <>

Additional information


http://bigd.big.ac.cn/biocode/tools/BT000004/manual

Information


Unique identifier OMICS_29815
Name LGC
Alternative name ORF Length and GC content
Software type Application/Script
Interface Command line interface
Restrictions to use None
Input format FASTA,BED,GTF
Operating system Unix/Linux
Programming languages Java, Python
Computer skills Advanced
Version 1.0
Stability Stable
Maintained Yes

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Maintainers


  • person_outline Zhang Zhang <>
  • person_outline Lina Ma <>

Additional information


http://bigd.big.ac.cn/biocode/tools/BT000004/manual

Publication for ORF Length and GC content

LGC in publication

PMCID: 5698827
PMID: 29250541
DOI: 10.1155/2017/4740354

[…] []. orphelia [, ] firstly extracts the features of monocodon usage, dicodon usage, and translation initiation sites by building linear discriminants and then combines these features with orf length and gc-content by using an artificial neural network to estimate the probability of an orf encoding a protein. fraggenescan [] combines codon usage, sequence patterns for start/stop […]


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LGC institution(s)
CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China; BIG Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China; University of Chinese Academy of Sciences, Beijing, China; Department of Biostatistics, Yale School of Public Health, New Haven, CO, USA; Division of Biomedical Statistics and Informatics, Mayo Clinic College of Medicine, Rochester, MN, USA; National Center for Bioinformatics, Programme of Comparative and Evolutionary Genomics, Faculty of Biological Sciences, Quaid-i-Azam University, Islamabad, Pakistan; King Abdullah University of Science and Technology (KAUST), Computational Bioscience Research Center (CBRC), Computer, Electrical and Mathematical Sciences and Engineering Division (CEMSE), Thuwal, Saudi Arabia
LGC funding source(s)
Supported by Strategic Priority Research Program of the Chinese Academy of Sciences [XDB13040500 and XDA08020102]; National Key Research and Development Program of China [2017YFC0907502 and 2015AA020108; 2016YFE0206600]; International Partnership Program of the Chinese Academy of Sciences [153F11KYSB20160008]; National Natural Science Foundation of China [31200978]; The 100-Talent Program of Chinese Academy of Sciences; The Open Biodiversity and Health Big Data Initiative of IUBS; The 13th Five-year Informatization Plan of Chinese Academy of Sciences [XXH13505-05]; The King Abdullah University of Science and Technology (KAUST) Base Research Funds [BAS/1/1606-01-01].

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