DNABIT Compress-Genome Compression Algorithm

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

DNABIT Compress – Genome compression algorithm

Data compression is concerned with how information is organized in data. Efficient storage means removal of redundancy from the data being stored in the DNA molecule. Data compression algorithms remove redundancy and are used to understand biologically important molecules. We present a compression algorithm, "DNABIT Compress" for DNA sequences based on a novel algorithm of assigning binary bits...

متن کامل

Normalized Distance Matrix Method for Construction of Phylogenetic Trees Using New Compressor - Dnabit Compress

We define a compression distance, based on a normal compressor to show it is an admissible distance. The first theme concerns the statistical significance of compressed file sizes. Only in recent years have scientists begun to appreciate the fact that compression ratios signify a great deal of important statistical information. In applying the approach, we have used a new DNA sequence compresso...

متن کامل

ERGC: an efficient referential genome compression algorithm

MOTIVATION Genome sequencing has become faster and more affordable. Consequently, the number of available complete genomic sequences is increasing rapidly. As a result, the cost to store, process, analyze and transmit the data is becoming a bottleneck for research and future medical applications. So, the need for devising efficient data compression and data reduction techniques for biological s...

متن کامل

Comment on: 'ERGC: an efficient referential genome compression algorithm'

MOTIVATION Data compression is crucial in effective handling of genomic data. Among several recently published algorithms, ERGC seems to be surprisingly good, easily beating all of the competitors. RESULTS We evaluated ERGC and the previously proposed algorithms GDC and iDoComp, which are the ones used in the original paper for comparison, on a wide data set including 12 assemblies of human g...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Bioinformation

سال: 2011

ISSN: 0973-8894,0973-2063

DOI: 10.6026/97320630005350