4 ms·

I'm curious, what were the reasons given for the rejections, if you received any?

mnw21cam 3y ago
+1. I would definitely be interested in this kind of investigation. Ideas to consider: Is this just the coding part of the genome, or the whole genome? Was there any difference in characteristics between different parts of the genome? Could you show differences in characteristics between coding, intronic, regulatory, and other parts of the genome, and could these be used to potentially identify candidate regulatory elements? Unfortunately (as I am discovering) the intersection between biology/genetics and some of these more computer-science-specific ideas gets far less interest than it should.
keepamovin 3y ago
I forget. It was many years ago. I don't care. At the time, it hurt, but now I don't care. I don't even remember where I submitted it! I don't care. If they'd accepted it, I probably wouldn't be working in software. I'd probably still be in some kind of research, I guess. I don't know! It's so many years ago, I just don't care. Time changes everything I guess. I suppose they missed out! Ha ha! :)
eesmith 3y ago
I'm going to guess because that topic was covered in the 1990s, making it harder for a new researcher to come up with a novel idea. For example, quoting "Sublinear growth of information in DNA sequences", Giulia Menconi, https://academic.oup.com/nar/article/32/suppl_2/W628/1040725?login=false https://academic.oup.com/nar/article/32/suppl_2/W628/1040725... from 2005: > The Lempel–Ziv complexity measure is based on text segmentation; we have termed it a ‘complexity decomposition’. It may be interpreted as the representation of a text in terms of repeats. Initially, this approach was implemented for analyzing DNA by Gusev and coauthors (13,14). 13 is Gusev,V.D., Kulichkov,V.A. and Chupakhina,O.M. (1991) Complexity analysis of genomes. I. Complexity and classification methods of detected structural regularities. Mol. Biol. (Mosk). 25 , 825–834. 14 is Gusev,V.D., Nemytikova,L.A. and Chuzhanova,N.A. (1999) On the complexity measures of genetic sequences. Bioinformatics, 15, 994–999. Google Scholar has 326 matches for "Lempel-Ziv power law dna" at or before 2010, for example, "Entropy and predictability of information carriers" from 1995 with "The capability to describe the structure of information carriers as DNA, proteins, texts and musical strings is investigated.".

+1. I would definitely be interested in this kind of investigation. Ideas to consider: Is this just the coding part of the genome, or the whole genome? Was there any difference in characteristics between different parts of the genome? Could you show differences in characteristics between coding, intronic, regulatory, and other parts of the genome, and could these be used to potentially identify candidate regulatory elements? Unfortunately (as I am discovering) the intersection between biology/genetics and some of these more computer-science-specific ideas gets far less interest than it should.

keepamovin 3y ago

I forget. It was many years ago. I don't care. At the time, it hurt, but now I don't care. I don't even remember where I submitted it! I don't care. If they'd accepted it, I probably wouldn't be working in software. I'd probably still be in some kind of research, I guess. I don't know! It's so many years ago, I just don't care. Time changes everything I guess. I suppose they missed out! Ha ha! :)

eesmith 3y ago

I'm going to guess because that topic was covered in the 1990s, making it harder for a new researcher to come up with a novel idea. For example, quoting "Sublinear growth of information in DNA sequences", Giulia Menconi, https://academic.oup.com/nar/article/32/suppl_2/W628/1040725?login=false https://academic.oup.com/nar/article/32/suppl_2/W628/1040725... from 2005: > The Lempel–Ziv complexity measure is based on text segmentation; we have termed it a ‘complexity decomposition’. It may be interpreted as the representation of a text in terms of repeats. Initially, this approach was implemented for analyzing DNA by Gusev and coauthors (13,14). 13 is Gusev,V.D., Kulichkov,V.A. and Chupakhina,O.M. (1991) Complexity analysis of genomes. I. Complexity and classification methods of detected structural regularities. Mol. Biol. (Mosk). 25 , 825–834. 14 is Gusev,V.D., Nemytikova,L.A. and Chuzhanova,N.A. (1999) On the complexity measures of genetic sequences. Bioinformatics, 15, 994–999. Google Scholar has 326 matches for "Lempel-Ziv power law dna" at or before 2010, for example, "Entropy and predictability of information carriers" from 1995 with "The capability to describe the structure of information carriers as DNA, proteins, texts and musical strings is investigated.".