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		<title>Found a great biology text!</title>
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			<title>Original Blog Entry: Found a great biology text!</title>
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			<pubDate>Wed, 06 May 2026 14:53:38 GMT</pubDate>
			<dc:creator>hypersoniq</dc:creator>
			<description><![CDATA[<p>Molecular Biology of the Cell 7th edition by Alberts et al.<br /><br />Normally $265 for this hardcover 1,552 text considered the bible of cellular biology, Amazon had it at 35% off for some reason... may as well grab it! The research on the field of bioinformatics frequently references this book, as do the complimentary fields of biostatistics and computational biology.<br /><br />It has been amazing moving from the statistics of useless lottery data to a field where the stats have meaning. I am still sticking with python for the first 103 challenges (33 done now) but the next area, the arsenal, is where the move to R for proper statistical analysis is the right move.<br /><br />combining python for extract/transform/load and R for statistics and visuals is how they do it in real bioinformatics labs.<br /><br />Even the lottery app was not a waste as the lessons learned are already making an impact on understanding why these problem sets have biologic importance and how to process and move data through a pipeline from ingestion to final product.<br /><br />Who knows, once a real exposure to powerful analysis in R moves along, there may be better solutions to this lottery problem that come to light.<br /><br />Still carrying on with the power ball, one ticket 3x per week, with no good result over the last month... but indeed it only needs to work once!<br /><br />Book will be delivered tomorrow, $93 cheaper thanks to the sale ... strange to see a book like this on sale but I am not arguing...... &#x5b;&#xa0;<a href="/blogentry/198545">More</a>&#xa0;&#x5d;</p>]]></description>
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