Skip to content

Latest commit

 

History

History
56 lines (39 loc) · 3.61 KB

README.md

File metadata and controls

56 lines (39 loc) · 3.61 KB
Raw

HiRGC

A high performance referential genome compression algorithm (termed HiRGC)

Correction of Example 1

There is typos in Example 1. We correct it in the following.

Performance

We present a high-performance referential genome compression algorithm named HiRGC. It is based on a 2-bit encoding scheme and an advanced greedy-matching search on a hash table. We compare the performance of HiRGC with four state-of-the-art compression methods on a benchmark data set of eight human genomes. HiRGC takes less than 30 minutes to compress about 21 gigabytes of each set of the seven target genomes into 96 to 260 megabytes, achieving compression ratios of 217 to 82 times. This performance is at least 1.9 times better than the best competing algorithm on its best case. Our compression speed is also at least 2.9 times faster. HiRGC is stable and robust to deal with different reference genomes. In contrast, the competing methods’ performance varies widely on different reference genomes. More experiments on 100 human genomes from the 1000 Genome Project and on genomes of several other species again demonstrate that HiRGC’s performance is consistently excellent.

Compile

make hirgc
make de_hirgc

Compress

The following three different commands:

（1） ./hirgc -m file -r YH_chr1.fa -t HG18_chr1.fa
（2） ./hirgc -m genome -r YH -t HG18 -n chr_name.txt/default
（3） ./hirgc -m set -r YH -t genome_set.txt -n chr_name.txt/default
  • -m is the mode that the user want to used;
  • -r is the reference (a FASTA file or a genome folder);
  • -t is the target (a FASTA file or a genome folder or a file contains a list of genome folder);
  • -n is a file containing name of chromosomes or a string "default".

Some other explaination

  • the mode file is to comrpess chromosomes; genome is to comoress a genome; set is to compress genome set.
  • The first command compress a chromosome HG18_chr1.fa and the reference chromosome is YH_chr1.fa. The compressed is HG18_chr1.fa_ref_YH_chr1.fa.7z.
  • The second compress a genome HG18 contain some chromosomes and the reference genome is YH. The name of chromosomes can be given in the file chr_name.txt or set as default. The compressed file is HG18_ref_YH.7z.
  • The third compress a genome set and the reference genome is YH. The list of genomes is given in file genome_set.txt. The name of chromosomes can be given in the file chr_name.txt or can be set as default.
  • The default name of chromosomes is [chr1.fa, chr2.fa, chr3.fa, chr4.fa, chr5.fa, chr6.fa, chr7.fa, chr8.fa, chr9.fa, chr10.fa, chr11.fa, chr12.fa, chr13.fa, chr14.fa, chr15.fa, chr16.fa, chr17.fa, chr18.fa, chr19.fa, chr20.fa, chr21.fa, chr22.fa, chrX.fa, chrY.fa]

Decompress

./de_hirgc -m file -r YH_chr1.fa -t HG18_chr1.fa_ref_YH_chr1.fa.7z
./de_hirgc -m genome -r YH -t HG18_ref_YH.7z -n chr_name.txt/default
./de_hirgc -m set -r YH -t de_genome_set.txt -n chr_name.txt/default
  • the first command decompress a compressed chromosome file xxx.7z to dec_xxx.
  • the second command decomperss a compressed genome folder yyy.7z to dec_yyy.
  • the parameter -n is identical to the compression procedure.

Status

Published in Bioinformatics DOI: https://doi.org/10.1093/bioinformatics/btx412.

Citation

Yuansheng Liu, Hui Peng, Limsoon Wong, Jinyan Li; High-speed and high-ratio referential genome compression, Bioinformatics, btx412, 2017, https://doi.org/10.1093/bioinformatics/btx412

Contacts

If any bugs during you run our code, please email to yyuanshengliu@gmail.com