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这篇文章主要为大家展示了“bedtools如何统计序列中碱基含量”,内容简而易懂,条理清晰,希望能够帮助大家解决疑惑,下面让小编带领大家一起研究并学习一下“bedtools如何统计序列中碱基含量”这篇文章吧。
bedtools统计序列中碱基含量
bedtools软件中的nuc函数工具可以统计序列碱基含量,其具体用法如下:
Tool: bedtools nuc (aka nucBed) Version: v2.25.0 Summary: Profiles the nucleotide content of intervals in a fasta file. Usage: bedtools nuc [OPTIONS] -fi <fasta> -bed <bed/gff/vcf> Options: -fi Input FASTA file -bed BED/GFF/VCF file of ranges to extract from -fi -s Profile the sequence according to strand. -seq Print the extracted sequence -pattern Report the number of times a user-defined sequence is observed (case-sensitive). -C Ignore case when matching -pattern. By defaulty, case matters. -fullHeader Use full fasta header. - By default, only the word before the first space or tab is used. Output format: The following information will be reported after each BED entry: 1) %AT content 2) %GC content 3) Number of As observed 4) Number of Cs observed 5) Number of Gs observed 6) Number of Ts observed 7) Number of Ns observed 8) Number of other bases observed 9) The length of the explored sequence/interval. 10) The seq. extracted from the FASTA file. (opt., if -seq is used) 11) The number of times a user's pattern was observed. (opt., if -pattern is used.)
示例如下:
bed文件:
CM004359.1 0 10 CM004359.1 100 200 CM004359.1 1000 1050
运行命令:
$bedtools nuc -fi GCA_001651475.1_Ler_Assembly_genomic.fna -bed id.bed #1_usercol 2_usercol 3_usercol 4_pct_at 5_pct_gc 6_num_A 7_num_C 8_num_G 9_num_T 10_num_N 11_num_oth 12_seq_len CM004359.1 0 10 0.600000 0.400000 1 0 4 5 0 0 10 CM004359.1 100 200 0.580000 0.420000 14 0 42 44 0 0 100 CM004359.1 1000 1050 0.660000 0.340000 10 3 14 23 0 0 50
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