How to Report Temperature Relative Errors


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In the documentation of the Hydrocarbons Parser, we have explained why temperature relative errors should be expressed in the Kelvin scale.

According to a Wikipedia article, a relative error only makes sense when measured on a ratio scale, (i.e. a scale which has a true meaningful zero), otherwise it would be sensitive to the measurement units ( The reason is that Celsius is an interval scale, whereas Kelvin is a ratio scale (with a true zero). As temperature relative errors vary across scales (Kelvin, Celsius, and Fahrenheit), these should always be computed in degrees Kelvin.

The above is easy to prove. Because oC = K – 273.15, the relative error in the Celsius scale is ΔoC/oC = ΔK/(K – 273.15); i.e., without a true zero.

Moreover, ΔoC/oC is undefined for ΔK ≠ 0 and K = 273.15, and indeterminate for ΔK = 0 and K = 273.15.

Chemistry Software Miner


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The Chemistry Software Miner,, allows users to find all kind of software, tools, and calculators, relevant to this discipline. Users can search by software name, vendor, or chemistry area (analytical, organic, inorganic, physical, biochemistry, etc).

As in all of our miners, this is a curated collection wherein each result can point users to dozens of new relevant resources when they click on the “Links” extraction tool. Users can then recursively crawl new resources and build their own curated collection.

Users can be chemistry data miners, computational scientists, chemistry teachers and their students. Other relevant miners are listed below:

Chemistry Tutorials,
Have a great day.

BioInformatics Software Miner


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The BioInformatics Software is a new miner built at It is available at

Find bioinformatics software, tools, packages, open source, scripts, vendors, and more. Search by topic, product name, or vendor.

Another miner, for chemistry software, is in the making.

Improving the Hydrocarbons Parser


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We have improved the Hydrocarbons Parser, available at

The tool now computes Degrees of Unsaturation (DoU). A DoU gives the sum of the numbers of rings and pi bonds in a chemical structure. Although our tool was not originally intended for addressing formulas for polycyclic hydrocarbons, knowing the DoU value associated to a formula should to some extend help users elucidate these cases.

For instance for C14H10, DoU = 10 and the tool returns a cycloalkene result with 9 pi bonds + 1 ring. Thus, candidate results with more than one ring and containing the following counts can be proposed:

8 pi bonds + 2 rings (e.g., diphenylacetylene)
7 pi bonds + 3 rings (e.g., anthracene, phenanthrene)
6 pi bonds + 4 rings (e.g., 1,2-Dihydrocyclopenta[fg]acenaphthylene)

and a few more. You get the idea.

In upcoming updates of this tool, we expect to automate all these calculations.

Parsing chemical formulas: What a way to go! The beauty of parsing text strings of any kind is in the details.

The BioInformatics Databases Miner


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This is a new miner available at Use it to find or build genome, sequence, proteomics, RNA, pathway, metabolic, microarray, exosomal, PCR, phenotype, taxonomic, carbohydrate, metabolimic, drug design, and imaging collections. Search by topic or database.

Sample queries can be

[ cancer research ], [ rna and dna ], [ bioinformatics ], or similar.

If you are into bioinformatics databases, this miner is for you.

Introducing the Hydrocarbons Parser


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This tool extracts chemical information by parsing a set of hydrocarbon formulas of the form CxHy.

The information collected is then used to validate the chemical formulas, compute numbers and types of chemical bonds, discriminate between functional isomers, and predict normal boiling point temperatures.

The tool works without consulting molecular orbital theory or a chemical database. That’s right. Just enter a set of formulas!

The tool is available at

Chemical engineers, teachers, and students might find this tool useful.

Building a Hydrocarbons Parser


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Text mining is not limited to computer sciences. It can be applied to chemistry sciences.

Indeed, parsing chemical formulas is not any different from parsing words and phrases, with the added advantage that we can find more practical applications with the former than with the latter.

To illustrate, we are currently building a Hydrocarbons Parser. This is a tool that parses an input chemical formula and predicts the number and types of chemical bonds, normal boiling point temperatures, and few other things. The predicted data can then be compare with experimental results.

Chemical engineers as chemists, chemistry students and their teachers may find this tool useful. This tool is part of an ongoing effort of finding more applications to text mining in other disciplines and fields.

Building a Facebook Jobs Offers Collection


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We have expanded the Jobs Miner at so now you can easily build curated collections about jobs from a specific company. This can be done thanks to the recrawling power of Minerazzi.

For instance search for [ facebook jobs ] and click the “links” tool, located below a search result snippet relevant to facebook. This allows you to crawl the links from that url. You will be presented with a new list of url links, each being crawlable with the same tool. Export results as you usually would (by copy/pasting).

Try with other companies. If there is one you are interested in that has a jobs section, but is not listed, submit its url. This is also a nice way of promoting jobs pages from specific companies.

To gather intelligence from a url, use the tools that come with the miner. – Puerto Ricos’ Search Engine


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As you may know, is now a search engine data miner relevant to Puerto Rico. Its legacy content is being moved to the tools and tutorials sections of

You can use the revamped site to find and mine products and services from PR, like newspapers, hotels, blogs, banks, places, companies, universities, gov agencies, reggaeton artists, etc.