Distant Reader - keyword-genome-cord

Introduction

This is a Distant Reader "study carrel", a set of structured data intended to help the student, researcher, or scholar use & understand a corpus.

This study carrel was created on 2021-05-24 by Eric Morgan <emorgan@nd.edu>. The carrel was created using the Distant Reader cord process, and the input was the result of a query applied to a local mirror of CORD, a data set of scholarly articles on the topic of COVID-19. The actual query was: keywords:genome. The results of this query were saved in a cache and transformed into a set of plain text files. All of the analysis -- "reading" -- has been done against these plain text files. For example, a short narrative report has been created. This Web page is a more verbose version of that report.

All study carrels are self-contained -- no Internet connection is necessary to use them. Download this carrel for offline reading. The carrel is made up of many subdirectories and data files. The manifest describes each one in greater detail.

Size

There are 49 item(s) in this carrel, and this carrel is 303,485 words long. Each item in your study carrel is, on average, 6,457 words long. If you dig deeper, then you might want to save yourself some time by reading a shorter item. On the other hand, if your desire is for more detail, then you might consider reading a longer item. The following charts illustrate the overall size of the carrel.

Readability

On a scale from 0 to 100, where 0 is very difficult and 100 is very easy, the documents have an average readability score of 45. Consequently, if you want to read something more simplistic, then consider a document with a higher score. If you want something more specialized, then consider something with a lower score. The following charts illustrate the overall readability of the carrel.

Word Frequencies

By merely counting & tabulating the frequency of individual words or phrases, you can begin to get an understanding of the carrel's "aboutness". Excluding "stop words", some of the more frequent words include:

genome, virus, sequence, rna, genomes, viruses, viral, human, gene, genes, dna, sequences, data, also, genetic, analysis, protein, sequencing, may, two, host, using, species, one, recombination, proteins, genomic, high, new, replication, disease, will, different, used, based, poliovirus, number, evolution, cells, single, cell, however, complete, mutation, mutations, strains, type, within, example, molecular

Using the three most frequent words, the three files containing all of those words the most are Genetics, Pathogenesis and Evolution of Picornaviruses, Genome sequences published outside of Standards in Genomic Sciences, July - October 2012, and Molecular basis of genetic variation of viruses: error-prone replication.

The most frequent two-word phrases (bigrams) include:

genome sequence, rna viruses, human genome, complete genome, genome size, genome sequences, sequence accession, genome sequencing, viral genome, rna virus, viral genomes, whole genome, amino acid, rna recombination, mutation rates, rna polymerase, mutation rate, gene expression, influenza virus, infectious disease, genetic diversity, virus genomes, closely related, infectious diseases, viral rna, sequence data, yersinia pestis, rna synthesis, acute respiratory, genome replication, coronavirus hku, draft genome, reading frames, virus genome, respiratory syndrome, public health, nucleic acid, doc id, pallidum subsp, cord uid, nucleotide sequence, comparative genomics, dna viruses, genome project, dna sequences, immune response, genetic variation, escherichia coli, poliovirus rna, open reading

And the three file that use all of the three most frequent phrases are Genome sequences published outside of Standards in Genomic Sciences, July - October 2012 Genetic Instability of RNA Viruses, and Molecular basis of genetic variation of viruses: error-prone replication.

While often deemed superficial or sophomoric, rudimentary frequencies and their associated "word clouds" can be quite insightful:

Keywords

Sets of keywords -- statistically significant words -- can be enumerated by comparing the relative frequency of words with the number of times the words appear in an entire corpus. Some of the most statistically significant keywords in the carrel include:

genome, rna, dna, virus, sequence, gene, human, viral, sars, protein, mutation, sequencing, recombination, pathogen, hgp, disease, yersinia, wimmer, wgs, venter, university, u.s., treponema, trait, tool, technology, subsp, strain, stability, ssr, sra, spike, snp, serratus, seq, rep, rea, qtl, product, probe, poliovirus, plant, pig, pestis, pcr, patent, pan, pallidum, nih, niaid

And now word clouds really begin to shine:

Topic Modeling

Topic modeling is another popular approach to connoting the aboutness of a corpus. If the study carrel could be summed up in a single word, then that word might be genome, and RNA-Seq Based Transcriptional Map of Bovine Respiratory Disease Pathogen “Histophilus somni 2336” is most about that word.

If the study carrel could be summed up in three words ("topics") then those words and their significantly associated titles include:

If the study carrel could be summed up in five topics, and each topic were each denoted with three words, then those topics and their most significantly associated files would be:

genome, sequence, virus - The flowering of the age of Biotechnology 1990–2000
rna, virus, viruses - Genetics, Pathogenesis and Evolution of Picornaviruses
genome, pallidum, human - Molecular evidence of hybridization between pig and human Ascaris indicates an interbred species complex infecting humans
genome, data, sequence - Efficient oligonucleotide probe selection for pan-genomic tiling arrays
data, ancient, pestis - Ancient pathogen genomics as an emerging tool for infectious disease research

Moreover, the totality of the study carrel's aboutness, can be visualized with the following pie chart:

Noun & Verbs

Through an analysis of your study carrel's parts-of-speech, you are able to answer question beyonds aboutness. For example, a list of the most frequent nouns helps you answer what questions; "What is discussed in this collection?":

genome, virus, sequence, viruses, genomes, genes, gene, sequences, dna, data, analysis, protein, host, species, proteins, recombination, sequencing, replication, disease, number, cells, poliovirus, cell, evolution, mutation, mutations, strains, example, type, information, diversity, time, population, expression, studies, size, infection, regions, rate, research, structure, study, identification, selection, region, reference, polymerase, approach, strain, pathogen

An enumeration of the verbs helps you learn what actions take place in a text or what the things in the text do. Very frequently, the most common lemmatized verbs are "be", "have", and "do"; the more interesting verbs usually occur further down the list of frequencies:

using, identify, includes, based, provide, show, found, containing, associated, known, developed, sequenced, suggests, causes, made, require, revealed, generate, lead, encode, producing, allowed, occur, determine, resulted, increasing, followed, predicted, related, given, expressed, involved, see, described, isolated, considered, compared, detecting, coding, represents, infected, targeted, emerged, indicate, remains, became, performed, studied, appeared, affecting

Proper Nouns

An extraction of proper nouns helps you determine the names of people and places in your study carrel.

RNA, Genome, SARS, DNA, C, Human, Fig, Virus, China, GenBank, NCBI, CoV-2, PCR, SNP, kb, B, A, Complete, CoV, Yersinia, Coronavirus, WGS, HIV-1, T, Strain, C., Y., T., Project, bp, Wimmer, National, Institute, ExoN, E., S., HIV, Figure, Table, picornavirus, IRES, Treponema, S, SNPs, NIAID, Europe, HGP, •, Gene, L.

An analysis of personal pronouns enables you to answer at least two questions: 1) "What, if any, is the overall gender of my study carrel?", and 2) "To what degree are the texts in my study carrel self-centered versus inclusive?"

it, we, their, its, they, our, them, his, i, he, us, one, itself, themselves, you, him, p~, her, your, she, himself, u, ourselves, my, https://github.com/ababaian/serratus, mine, https://serratus.io, hadv-4, coronaspades

Below are words cloud of your study carrel's proper & personal pronouns.

Adjectives & Verbs

Learning about a corpus's adjectives and adverbs helps you answer how questions: "How are things described and how are things done?" An analysis of adjectives and adverbs also points to a corpus's overall sentiment. "In general, is my study carrel positive or negative?"

viral, human, genetic, high, genomic, new, different, single, many, large, molecular, specific, important, complete, whole, nucleotide, first, non, evolutionary, multiple, infectious, several, small, possible, similar, clinical, available, bacterial, cellular, novel, low, functional, microbial, biological, major, common, present, respiratory, phylogenetic, structural, natural, additional, immune, comparative, unique, like, wide, complex, recent, long

also, however, well, highly, even, often, therefore, now, currently, still, recently, previously, respectively, rapidly, relatively, rather, closely, already, probably, much, first, far, directly, usually, yet, less, interestingly, generally, genetically, approximately, together, indeed, particularly, moreover, finally, especially, widely, newly, subsequently, significantly, furthermore, typically, long, likely, just, completely, later, specifically, potentially, least

Next steps

There is much more to a study carrel than the things outlined above. Use this page's menubar to navigate and explore in more detail. There you will find additional features & functions including: ngrams, parts-of-speech, grammars, named entities, topic modeling, a simple search interface, etc.

Again, study carrels are self-contained. Download this carrel for offline viewing and use.

Thank you for using the Distant Reader.