Automatic analysis of agarose gel images
نویسندگان
چکیده
منابع مشابه
Automatic analysis of agarose gel images
MOTIVATION Automatic tools to speed up routine biological processes are very much sought after in bio-medical research. Much repetitive work in molecular biology, such as allele calling in genetic analysis, can be made semi-automatic or task specific automatic by using existing techniques from computer science and signal processing. Computerized analysis is reproducible and avoids various forms...
متن کاملAgarose gel electrophoresis.
MATERIALS 6x Gel-loading buffer Agarose solutions (please see Step 3) DNA samples DNA size standards Samples of DNAs of known size are typically generated by restriction enzyme digestion of a plasmid or bacteriophage DNA of known sequence. Alternatively, they are produced by ligating a monomer DNA fragment of known size into a ladder of polymeric forms. DNA staining solution For a discussion of...
متن کاملAgarose gel electrophoresis.
Agarose gel electrophoresis is used to separate DNA or RNA molecules based upon their size.
متن کاملAlkaline agarose gel electrophoresis.
INTRODUCTION Alkaline agarose gels are run at a pH that is sufficiently high to denature double-stranded DNA. The denatured DNA is maintained in a single-stranded state and migrates through the alkaline gel as a function of its size. Alkaline agarose gels are used chiefly to measure the size of first and second strands of cDNA (Construction of cDNA Libraries Stage 1: Synthesis of First-strand c...
متن کاملAgarose gel analysis of 15-40-kb PCR amplimers.
Accurate resolution of PCR products in the range of 15-40 kb may be obtained in agarose gels without pulsed field electrophoresis. A gel of 0.3% SeaKem Gold agarose cast on GelBond support film provides good resolution and sufficient get strength to reliably allow staining and photography. This paper describes a test system for Long PCR and demonstrates analysis of the PCR products on a gel run...
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ژورنال
عنوان ژورنال: Bioinformatics
سال: 2001
ISSN: 1367-4803,1460-2059
DOI: 10.1093/bioinformatics/17.11.1084