Class Journal Week 2 - Revision history

Bhamilton18: Added Links to my response

2017-09-19T17:12:22Z

Added Links to my response

ArashLari: /* Arash Lari's Responses */

2017-09-17T03:41:44Z

‎Arash Lari's Responses

Bhamilton18: deleted my template

2017-09-12T22:14:16Z

deleted my template

Aporras1: /* Antonio Porras' Responses */ fixing numbering formating for response

2017-09-12T22:09:31Z

‎Antonio Porras' Responses: fixing numbering formating for response

Aporras1: /* Antonio Porras' Responses */ editing numbering to be 1,2,3 instead of 1,1,1

2017-09-12T22:06:19Z

‎Antonio Porras' Responses: editing numbering to be 1,2,3 instead of 1,1,1

Cazinge: Formatting

2017-09-12T07:02:49Z

Formatting

Cazinge at 07:01, 12 September 2017

2017-09-12T07:01:35Z

Cazinge: Cazinge's Journal Entry

2017-09-12T07:00:52Z

Cazinge's Journal Entry

Ebachour: Adding my class journal response

2017-09-12T06:50:46Z

Adding my class journal response

Hhinsch: added my electronic signature

2017-09-12T06:45:17Z

added my electronic signature

← Older revision		Revision as of 17:12, 19 September 2017
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	[[User:Bhamilton18\|Bhamilton18]] ([[User talk:Bhamilton18\|talk]]) 21:55, 11 September 2017 (PDT)		[[User:Bhamilton18\|Bhamilton18]] ([[User talk:Bhamilton18\|talk]]) 21:55, 11 September 2017 (PDT)
		+	{{Template:Bhamilton18}}

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 # The Akira and Hideko Kaji procedure was pretty technical and I’m not very well versed in biology so that was difficult for me.
 # What surprised me is how logical and understandable our genetic make up is. DNA is remarkably similar to binary code in that way.
 ==Hayden Hinsch's Responses==

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 [[User:Bhamilton18|Bhamilton18]] ([[User talk:Bhamilton18|talk]]) 21:55, 11 September 2017 (PDT)
-{{Template:Bhamilton18 Journal Entries}}

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 ==Antonio Porras' Responses==
-#'''What is the biggest discovery that I made from these readings?'''
+#'''What is the biggest discovery that I made from these readings?'''The biggest discover I made was how translatable biological information can be into computer code. Just as interestingly enough, as a biology major, it surprised me when discussing the natural code in which amino acids are associated with certain letter codons and how there are endless other codes which provide superior substitutions. In simpler terms, there are endless other ways for the natural code to be designed which would be more efficient than it is presently functioning. It captures the beauty of biology and also how DNA is a living, changing, document by which mutations are constantly occurring over millions of years to repetitively improve or adapt organisms to a constantly changing environment. DNA is dynamic and imperfect in it's nature.
-The biggest discover I made was how translatable biological information can be into computer code. Just as interestingly enough, as a biology major, it surprised me when discussing the natural code in which amino acids are associated with certain letter codons and how there are endless other codes which provide superior substitutions. In simpler terms, there are endless other ways for the natural code to be designed which would be more efficient than it is presently functioning. It captures the beauty of biology and also how DNA is a living, changing, document by which mutations are constantly occurring over millions of years to repetitively improve or adapt organisms to a constantly changing environment. DNA is dynamic and imperfect in it's nature.
+#'''What part of the readings did I understand the least?'''Even as a biology major, some of the procedures explained in Akira Kaji and Hideko Kaji's paper were difficult to understand and I can only imagine what someone who doesn't have a background in biology would absorb through reading the paper. It took myself several times to read it over to fully understand how scientists came up with the mechanism (tRNAs) by which amino acids are translated from mRNA.
-#'''What part of the readings did I understand the least?'''
+#'''What is the relationship between the genetic code and a computer code?'''Firstly, both genetic code and computer code store a significant amount of information. Secondly, we now have the technology to have a better understanding of the complexities and vastness of genetic and computer code. Lastly, from the reading, both are susceptible to errors or in biology terms, mutations. In these ways, they are extremely similar and their relevence to each other cannot be underestimated.
 [[User:aporras1|Antonio Porras]] [[User:Aporras1|Aporras1]] ([[User talk:Aporras1|talk]]) 23:43, 11 September 2017 (PDT)

@@ Line 113: / Line 113: @@
 #'''What is the biggest discovery that I made from these readings?'''
 The biggest discover I made was how translatable biological information can be into computer code. Just as interestingly enough, as a biology major, it surprised me when discussing the natural code in which amino acids are associated with certain letter codons and how there are endless other codes which provide superior substitutions. In simpler terms, there are endless other ways for the natural code to be designed which would be more efficient than it is presently functioning. It captures the beauty of biology and also how DNA is a living, changing, document by which mutations are constantly occurring over millions of years to repetitively improve or adapt organisms to a constantly changing environment. DNA is dynamic and imperfect in it's nature.
 #'''What part of the readings did I understand the least?'''
 Even as a biology major, some of the procedures explained in Akira Kaji and Hideko Kaji's paper were difficult to understand and I can only imagine what someone who doesn't have a background in biology would absorb through reading the paper. It took myself several times to read it over to fully understand how scientists came up with the mechanism (tRNAs) by which amino acids are translated from mRNA.
 #'''What is the relationship between the genetic code and a computer code?'''
 Firstly, both genetic code and computer code store a significant amount of information. Secondly, we now have the technology to have a better understanding of the complexities and vastness of genetic and computer code. Lastly, from the reading, both are susceptible to errors or in biology terms, mutations. In these ways, they are extremely similar and their relevence to each other cannot be underestimated.

@@ Line 129: / Line 129: @@
 ==Eddie Azinge's Responses==
-#'''What is the biggest discovery that I made from these readings?'''
+:'''What is the biggest discovery that I made from these readings?'''
 I had a sort of intuition for this prior to the readings, but the ease of the translatability of biological information into a quantifiable binary code surprised me. I used this knowledge to code up the solution to our Week 2 assignment, taking note of the correlation between how I would process binary code to how I was processing the genetic code, and the same logic applied. The code can be found [https://jsfiddle.net/cazinge/m3r9okhL/5/ here], and outlines an interesting method of handling the genetic code from a programmer's point of view.
-#'''What part of the readings did I understand the least?'''
+:'''What part of the readings did I understand the least?'''
 The part of the reading that I understood the least was the article on the link between the transcriptome and the proteome. I understood the more general concepts of the section, namely being that different beings have different genomic code maps, but the level of the technical writing in the article required me to reread it several times in order to get a reasonable grasp on the topics being discussed. Specifically, I still don't really understand the process of splicing, and alpha/beta-sheets still confuse me.
-#'''What is the relationship between the genetic code and a computer code?'''
+:'''What is the relationship between the genetic code and a computer code?'''
 The genetic code compresses, stores, and translates information in order to create reproducible outcomes at some later time, much like a computer program.
 [[User:Cazinge|Cazinge]] ([[User talk:Cazinge|talk]]) 00:00, 12 September 2017 (PDT)

← Older revision		Revision as of 07:00, 12 September 2017
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	# In the Digital Code of Life, Niremberg talks about how, in order to learn more about how an unknown computer system or program is working, it is often helpful not only to measure the signals passing through the circuits naturally, but also to send carefully crafted signals and observe the response. Niremberg did the same thing with the cell and by constructing artificial mRNA he was able to observe which amino acids were output by the cell's machinery for a given output. He was able to use computer code as a metaphor to better understand the genetic code.		# In the Digital Code of Life, Niremberg talks about how, in order to learn more about how an unknown computer system or program is working, it is often helpful not only to measure the signals passing through the circuits naturally, but also to send carefully crafted signals and observe the response. Niremberg did the same thing with the cell and by constructing artificial mRNA he was able to observe which amino acids were output by the cell's machinery for a given output. He was able to use computer code as a metaphor to better understand the genetic code.
	[[User:Ebachour\|Ebachour]] ([[User talk:Ebachour\|talk]]) 23:50, 11 September 2017 (PDT)		[[User:Ebachour\|Ebachour]] ([[User talk:Ebachour\|talk]]) 23:50, 11 September 2017 (PDT)
		+
		+	==Eddie Azinge's Responses==
		+	#'''What is the biggest discovery that I made from these readings?'''
		+	I had a sort of intuition for this prior to the readings, but the ease of the translatability of biological information into a quantifiable binary code surprised me. I used this knowledge to code up the solution to our Week 2 assignment, taking note of the correlation between how I would process binary code to how I was processing the genetic code, and the same logic applied. The code can be found [https://jsfiddle.net/cazinge/m3r9okhL/5/ here], and outlines an interesting method of handling the genetic code from a programmer's point of view.
		+
		+	#'''What part of the readings did I understand the least?'''
		+	The part of the reading that I understood the least was the article on the link between the transcriptome and the proteome. I understood the more general concepts of the section, namely being that different beings have different genomic code maps, but the level of the technical writing in the article required me to reread it several times in order to get a reasonable grasp on the topics being discussed. Specifically, I still don't really understand the process of splicing, and alpha/beta-sheets still confuse me.
		+
		+	#'''What is the relationship between the genetic code and a computer code?'''
		+	The genetic code compresses, stores, and translates information in order to create reproducible outcomes at some later time.
		+
		+	[[User:Cazinge\|Cazinge]] ([[User talk:Cazinge\|talk]]) 00:00, 12 September 2017 (PDT)

← Older revision		Revision as of 06:50, 12 September 2017
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	[[User:aporras1\|Antonio Porras]] [[User:Aporras1\|Aporras1]] ([[User talk:Aporras1\|talk]]) 23:43, 11 September 2017 (PDT)		[[User:aporras1\|Antonio Porras]] [[User:Aporras1\|Aporras1]] ([[User talk:Aporras1\|talk]]) 23:43, 11 September 2017 (PDT)
		+
		+	==Edward Bachoura's Responses==
		+	# Reading about how all of these scientist used computer code as a way to better understand the genetic code was news to me. I haven't really truly realized that there was even the slightest of a connection between these two very seemingly different things.
		+	# I didn't really understand the approach from J. Tze-Fei Wong in ''American Scientist''. It says that he identified the best substitution for each amino acid and compared it to the computer generated codes, but I didn't really understand how he compared them to deduce that the code has not evolved to maximum error tolerance.
		+	# In the Digital Code of Life, Niremberg talks about how, in order to learn more about how an unknown computer system or program is working, it is often helpful not only to measure the signals passing through the circuits naturally, but also to send carefully crafted signals and observe the response. Niremberg did the same thing with the cell and by constructing artificial mRNA he was able to observe which amino acids were output by the cell's machinery for a given output. He was able to use computer code as a metaphor to better understand the genetic code.
		+	[[User:Ebachour\|Ebachour]] ([[User talk:Ebachour\|talk]]) 23:50, 11 September 2017 (PDT)

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 ===Hayden's Links===
 {{Template:hhinsch}}
 ==Dina Bashoura's Responses==