Sequence Analysis: Things to Avoid

With the advent of molecular biology and biotechnology, it has become possible for professionals to determine the sequence of various biological/organic compounds or molecules before investing their resources in research and development of certain products. Sequence analysis is done for various chemical compounds including DNA, RNA, and Proteins that are found in various biological systems. Once the sequence of a chemical compound is known we can then correlate its structure with its biological and physical properties.

Sequence analysis is used widely in the domain of drug manufacturing, textiles, fertilizer, and pesticide manufacturing that are required to develop new organic molecules every now and then. However, if you don’t know the basics of doing sequence analysis it may appear simply characters of a foreign language with no meaning. Thus it is important that sequence analysis is done by experts who have prior knowledge of doing sequence analysis.

Sequence Analysis: Things Not To Do!

With this article, we came up with some important things those should be avoided while doing sequence analysis. Avoiding these could help you do a sequence analysis in a better and fruitful way.

1# Use of annotation data

Annotations are a kind of metadata that are used in a specific portion of a document to add additional historical contexts to texts and physical documents. These annotated data are the goldmine of knowledge and if are utilized thoroughly it could be of immense use. While doing sequence analysis it is important for searchers to analyze each and every annotated produced with each search result. Annotated data could be found in various fields of a document including bibliographic references, date of earliest publication and date of sequence disclosure.

2# Use of various data forms

The advent of computers and web has made our life handy and thus data can be gathered in a matter of click. However, we must accept the fact that there is a world beyond computers which is more rich and resourceful. When we are dealing with patent data, it is important to search through these resources too so that you don’t miss a single data that is of huge importance. These resources can be anything like books, journals, newspaper articles etc.

3# Use of redundant and old data for reference

Patent databases are very dynamic as entries keep on changing with the passage of every second. We need to make our searches up to date and rely on data that is current. Using redundant and obsolete date could be detrimental to our overall goal.

4# Use of stagnant database algorithms

A patent search is all about utilizing patent databases to its maximum potential. More familiar you are with a database better will be the output. Since every database uses a different algorithm it is important for searchers to know the basic algorithms of the database.

To know about the Biological Sequence Search Service by The Patent Search Firm, visit our service page.

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