Monod equation - Revision history

en>BG19bot: WP:CHECKWIKI error fix for #61. Punctuation goes before References. Do general fixes if a problem exists. - using AWB (9916)

2014-02-08T07:42:04Z

WP:CHECKWIKI error fix for #61. Punctuation goes before References. Do general fixes if a problem exists. - using AWB (9916)

← Older revision		Revision as of 09:42, 8 February 2014
Line 1:		Line 1:
	'''[[Depth]]''' ('''coverage''') in [[DNA sequencing]] refers to the number of times a [[nucleotide]] is read during the sequencing process. '''Deep sequencing''' indicates that the total number of reads is many times larger than the length of the sequence under study. [[Shotgun sequencing#Coverage\|'''Coverage''']] is the average number of reads representing a given nucleotide in the reconstructed sequence.		40 years old Blacksmith Sammy from Portneuf, has lots of interests which include vehicles, Titan Empires Hack ([https://www.academia.edu/8892273/Download_Titan_Empire_Hack_-_Works_on_Android_and_iOS https://www.academia.edu/]) and films. Has recently completed a journey to Cathedral of Notre-Dame.

	~~Depth can be calculated~~ from ~~the length of the original genome (''G'')~~, ~~the number~~ of ~~reads(''N'')~~, ~~and the average read length~~(~~''L'') as <math>N\times L~~/G</~~math>~~. For example, a hypothetical genome with 2,000 base pairs reconstructed from 8 reads with an average length of 500 nucleotides will have 2x redundancy. This parameter also enables one to estimate other quantities, such as the percentage of the genome covered by reads (sometimes also called coverage). A high coverage in shotgun sequencing is desired because it can overcome errors in base calling and assembly. The subject of [[DNA sequencing theory]] addresses the relationships of such quantities.

	Sometimes a distinction is made between sequence coverage and physical coverage. Sequence coverage is the average number of times a base is read (as described above). Physical coverage is the average number of times a base is read or spanned by mate paired reads.<ref name="MeyersonFig1">{{cite doi\|10.1038/~~nrg2841}}<~~/~~ref>~~

	~~The term "deep" has been used for a wide range of depths (>7x),{{citation_needed\|date=January 2012}} and the newer term "ultra~~-deep" has appeared in the scientific literature to refer to even higher coverage (>100x).<ref name="pmid21771779">{{cite journal \| author = Ajay SS, Parker SC, Abaan HO, Fajardo KV, Margulies EH \| title = Accurate and comprehensive sequencing of personal genomes \| journal = Genome Res. \| volume = 21 \| issue = 9 \| pages = 1498–505 \|date=September 2011 \| pmid = 21771779 \| pmc = 3166834 \| doi = 10.1101/gr.~~123638~~.~~111 }}<~~/~~ref>~~

	Even though the sequencing accuracy for each individual nucleotide is very high, the very large number of nucleotides in the genome means that if an individual genome is only sequenced once, there will be a significant number of sequencing errors. Furthermore rare [[single-nucleotide polymorphism]~~]s (SNPs~~) ~~are common. Hence to distinguish between sequencing errors~~ and ~~true SNPs, it is necessary to increase the sequencing accuracy even further by sequencing individual genomes a large number of times~~.

	~~== Deep sequencing of transcriptome or RNA ==~~

	~~Deep sequencing of [[transcriptome]], also known as [[RNAseq]], provides both the sequence and frequency of RNA molecules that are present at any particular time in~~ a ~~specific cell type, tissue or organ. Counting the number of mRNAs that are encoded by individual genes provides an indicator~~ of ~~protein~~-~~coding potential, a major contributor to [[phenotype]]~~.<ref name="pmid22046435">{{cite journal \| author = Hampton M, Melvin RG, Kendall AH, Kirkpatrick BR, Peterson N, Andrews MT \| title = Deep sequencing the transcriptome reveals seasonal adaptive mechanisms in a hibernating mammal \| journal = PLoS One. \| volume = 6 \| issue = 10 \| year = 2011 \| pmid = 22046435 \| pmc = 3203946 \| doi = 10.1371/journal.pone.0027021 }}</ref>


	~~{{Reflist}}~~

	~~[[Category:Molecular biology]]~~
	~~[[Category:DNA sequencing]]~~

en>Michael Hardy at 14:11, 16 August 2013

2013-08-16T14:11:54Z

← Older revision		Revision as of 16:11, 16 August 2013
Line 1:		Line 1:
	~~Complementary Health Specialist~~ ~~Modesto~~ from ~~Ontario~~, ~~spends time~~ with ~~pastimes for instance hiking~~, [~~https:~~//~~www~~.~~academia~~.~~edu~~/~~8892273~~/~~Download_Titan_Empire_Hack_~~-~~_Works_on_Android_and_iOS Titan Empires Hack~~] ~~and yoyo~~. ~~Keeps a tour blog~~ and ~~has lots~~ to ~~write about after going to Coiba National Park~~ and ~~its Special Zone~~ of ~~Marine Protection~~.		'''[[Depth]]''' ('''coverage''') in [[DNA sequencing]] refers to the number of times a [[nucleotide]] is read during the sequencing process. '''Deep sequencing''' indicates that the total number of reads is many times larger than the length of the sequence under study. [[Shotgun sequencing#Coverage\|'''Coverage''']] is the average number of reads representing a given nucleotide in the reconstructed sequence.

			Depth can be calculated from the length of the original genome (''G''), the number of reads(''N''), and the average read length(''L'') as <math>N\times L/G</math>. For example, a hypothetical genome with 2,000 base pairs reconstructed from 8 reads with an average length of 500 nucleotides will have 2x redundancy. This parameter also enables one to estimate other quantities, such as the percentage of the genome covered by reads (sometimes also called coverage). A high coverage in shotgun sequencing is desired because it can overcome errors in base calling and assembly. The subject of [[DNA sequencing theory]] addresses the relationships of such quantities.

			Sometimes a distinction is made between sequence coverage and physical coverage. Sequence coverage is the average number of times a base is read (as described above). Physical coverage is the average number of times a base is read or spanned by mate paired reads.<ref name="MeyersonFig1">{{cite doi\|10.1038/nrg2841}}</ref>

			The term "deep" has been used for a wide range of depths (>7x),{{citation_needed\|date=January 2012}} and the newer term "ultra-deep" has appeared in the scientific literature to refer to even higher coverage (>100x).<ref name="pmid21771779">{{cite journal \| author = Ajay SS, Parker SC, Abaan HO, Fajardo KV, Margulies EH \| title = Accurate and comprehensive sequencing of personal genomes \| journal = Genome Res. \| volume = 21 \| issue = 9 \| pages = 1498–505 \|date=September 2011 \| pmid = 21771779 \| pmc = 3166834 \| doi = 10.1101/gr.123638.111 }}</ref>

			Even though the sequencing accuracy for each individual nucleotide is very high, the very large number of nucleotides in the genome means that if an individual genome is only sequenced once, there will be a significant number of sequencing errors. Furthermore rare [[single-nucleotide polymorphism]]s (SNPs) are common. Hence to distinguish between sequencing errors and true SNPs, it is necessary to increase the sequencing accuracy even further by sequencing individual genomes a large number of times.

			== Deep sequencing of transcriptome or RNA ==

			Deep sequencing of [[transcriptome]], also known as [[RNAseq]], provides both the sequence and frequency of RNA molecules that are present at any particular time in a specific cell type, tissue or organ. Counting the number of mRNAs that are encoded by individual genes provides an indicator of protein-coding potential, a major contributor to [[phenotype]].<ref name="pmid22046435">{{cite journal \| author = Hampton M, Melvin RG, Kendall AH, Kirkpatrick BR, Peterson N, Andrews MT \| title = Deep sequencing the transcriptome reveals seasonal adaptive mechanisms in a hibernating mammal \| journal = PLoS One. \| volume = 6 \| issue = 10 \| year = 2011 \| pmid = 22046435 \| pmc = 3203946 \| doi = 10.1371/journal.pone.0027021 }}</ref>


			{{Reflist}}

			[[Category:Molecular biology]]
			[[Category:DNA sequencing]]

en>D Scott 86: /* Equation */ Moving figure placement

2012-03-10T22:37:30Z

Equation: Moving figure placement

New page

Complementary Health Specialist Modesto from Ontario, spends time with pastimes for instance hiking, [https://www.academia.edu/8892273/Download_Titan_Empire_Hack_-_Works_on_Android_and_iOS Titan Empires Hack] and yoyo. Keeps a tour blog and has lots to write about after going to Coiba National Park and its Special Zone of Marine Protection.