I would say that technique has more the connotation of "manuality", whereas method is a more generic term, which can include different technique

I believe, they mean the same thing; so the terms are replaceable. For example, you could say "DNA sequencing method" and be perfectly fine.

Why do you divide this at all? I would say that in the end both mean more or less the same.

Well, the terms are overlapping in their use in science. I would answer it as...In molecular biology a research method followed to get a result may or may not cover one or more techniques. For example Gene Cloning method (suppose for a bacterial DNA segment) can be performed by either PCR based technique or by host-vector based one or by both.

Although a technique also involves its own method, however its not a research method.

When writing my thesis i thought by these two terms and i think there is a scientific different but actually i don't find it my self.

Well, to simplify, one can say...in general way to understand.....the Technique is a machine based method.....or Technique is a type of method that depends on machine.

Tarun Tyagi ·I'm grateful for your response.

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Oah... I can say that technique is what skill you have to get for doing something; method is the way you have to follow to do something. For one method you can use one technique or more; or you can apply one technique for more than one method.

I would say that technique has more the connotation of "manuality", whereas method is a more generic term, which can include different technique

Simple: Methods are complex procedures that may imply one or several varied techniques. Ex.: METHOD: GENOTYPING (ex.: atypical pathogen strain) using a varied array of techniques.

In my own opinion, I agreed with @Rogerio's explanation. Method encompass variety of techniques. For example, think of clustering methods in data mining such as Partitioning method. This method contain techniques such as K-means, K-medoids and so on. Another example is decision tree-based method for classification in data mining, which contains techniques such as Random Forest, C4.5, etc.