Summary of your 'study carrel' ============================== This is a summary of your Distant Reader 'study carrel'. The Distant Reader harvested & cached your content into a collection/corpus. It then applied sets of natural language processing and text mining against the collection. The results of this process was reduced to a database file -- a 'study carrel'. The study carrel can then be queried, thus bringing light specific characteristics for your collection. These characteristics can help you summarize the collection as well as enumerate things you might want to investigate more closely. This report is a terse narrative report, and when processing is complete you will be linked to a more complete narrative report. Eric Lease Morgan Number of items in the collection; 'How big is my corpus?' ---------------------------------------------------------- 105 Average length of all items measured in words; "More or less, how big is each item?" ------------------------------------------------------------------------------------ 6142 Average readability score of all items (0 = difficult; 100 = easy) ------------------------------------------------------------------ 48 Top 50 statistically significant keywords; "What is my collection about?" ------------------------------------------------------------------------- Top 50 lemmatized nouns; "What is discussed?" --------------------------------------------- 7355 virus 6029 cell 3456 pig 3433 protein 3070 infection 2651 syndrome 2098 response 1667 antibody 1530 vaccine 1521 study 1437 % 1365 strain 1353 expression 1294 gene 1285 replication 1090 group 1085 type 952 activity 935 disease 917 lung 906 sequence 878 level 866 control 843 swine 823 macrophage 809 time 800 effect 792 result 774 analysis 764 h 721 animal 687 c 681 production 670 datum 652 figure 646 host 636 serum 620 role 619 sample 609 tissue 571 cytokine 569 ml 558 immunity 558 assay 538 t 536 genome 532 day 531 site 510 - 508 region Top 50 proper nouns; "What are the names of persons or places?" -------------------------------------------------------------- 7630 PRRSV 3928 al 3441 . 3064 et 1435 RNA 1101 IFN 1074 Fig 755 PRRS 637 PCR 505 N 497 M 485 C 448 GP5 423 MARC-145 328 T 325 RT 294 PEDV 293 HP 277 CD163 271 PBS 268 USA 251 GP4 238 China 214 EAV 213 mRNA 213 PAM 191 Lelystad 191 B 188 PLP2 186 Table 186 IL-10 186 HA 183 TCID 181 IFN- 171 MOI 170 II 167 nsp2 166 TGEV 163 PPMO 156 ORF 149 MLV 149 ELISA 146 CA 144 PCV2 137 ORFs 136 VN 136 S 136 Invitrogen 134 DMEM 133 NLRX1 Top 50 personal pronouns nouns; "To whom are things referred?" ------------------------------------------------------------- 971 we 834 it 472 i 257 they 89 them 28 us 19 itself 17 you 14 isgf3 13 one 7 nsp15 7 he 5 themselves 3 pdcs 2 mrnas 2 igg1 2 's 1 ™ 1 À6 1 u 1 tomatidine 1 sr683 1 ser136 1 pk418 1 p1-thr 1 ourselves 1 microrna-130a 1 me 1 k418 1 isu3927 1 ire1-xbp1s 1 interleukin-12 1 interleukin-10 1 igg3 1 ifitm3 1 his234 1 e90r 1 c)eqgltpldpgryqtrrg Top 50 lemmatized verbs; "What do things do?" --------------------------------------------- 19771 be 2372 use 2372 have 1444 infect 1434 show 1103 induce 743 indicate 689 express 647 contain 615 follow 610 detect 609 inhibit 590 increase 584 compare 581 include 574 observe 536 do 528 determine 501 base 490 perform 481 suggest 474 isolate 467 describe 464 find 463 associate 421 reduce 421 mediate 415 identify 396 demonstrate 394 cause 386 neutralize 379 treat 373 result 371 report 370 provide 347 encode 343 involve 339 produce 329 collect 327 inoculate 322 generate 314 signal 309 bind 307 incubate 307 affect 305 develop 300 reveal 299 analyze 297 derive 287 obtain Top 50 lemmatized adjectives and adverbs; "How are things described?" --------------------------------------------------------------------- 3578 porcine 3184 respiratory 2621 reproductive 2004 viral 1649 - 1648 not 1447 immune 1056 also 845 high 825 specific 745 other 703 different 564 anti 555 however 524 infected 515 positive 505 significantly 493 then 491 significant 479 non 467 only 465 well 464 low 464 antiviral 447 structural 442 such 440 more 424 further 424 cellular 420 important 411 highly 408 clinical 403 infectious 396 innate 391 respectively 385 most 377 first 373 negative 333 recombinant 332 similar 319 genetic 316 previously 315 dependent 314 like 313 molecular 306 early 304 human 278 as 276 thus 271 experimental Top 50 lemmatized superlative adjectives; "How are things described to the extreme?" ------------------------------------------------------------------------- 112 most 72 high 64 least 34 large 24 good 23 Most 21 low 9 great 8 early 7 strong 6 small 6 severe 5 late 4 NtermM 3 poly(U 2 tremeGENE 2 simple 2 old 2 bad 1 ϩ 1 ® 1 steep 1 near 1 big 1 EDRD-1 1 /animal 1 -β Top 50 lemmatized superlative adverbs; "How do things do to the extreme?" ------------------------------------------------------------------------ 273 most 60 least 6 well 3 ntermm Top 50 Internet domains; "What Webbed places are alluded to in this corpus?" ---------------------------------------------------------------------------- 6 doi.org 3 www.uhnresearch.ca 3 dx.doi.org 2 www.frontiersin.org 2 www.cbs.dtu.dk 2 pdbe.org 2 gpi.unibe.ch 1 www.ncbi.nlm.nih.gov 1 www.ncbi 1 www.mdpi.com 1 www.graphpad.com 1 www.geospiza.com 1 www.genome.jp 1 www.geneontology.org 1 www.enago.com 1 www.ebi.ac.uk 1 www.aphis 1 www.animalgenome 1 www.ambion.com 1 www-stat.stanford.edu 1 vetmed.illinois.edu 1 mobyle.pasteur.fr 1 jura.wi 1 figshare.com 1 expasy.org 1 espript 1 doi 1 david.abcc.ncifcrf.gov 1 crispor.tefor.net 1 creativecommons.org 1 bioinf.cs.ucl.ac.uk Top 50 URLs; "What is hyperlinked from this corpus?" ---------------------------------------------------- 2 http://www.uhnresearch.ca/facilities/wcif/imagej/ 2 http://gpi.unibe.ch 1 http://www.uhnresearch.ca/ 1 http://www.ncbi.nlm.nih.gov 1 http://www.ncbi 1 http://www.mdpi.com/1999-4915/12/8/817/s1 1 http://www.graphpad.com 1 http://www.geospiza.com 1 http://www.genome.jp/kegg/ 1 http://www.geneontology.org/ 1 http://www.frontiersin.org/articles/10.3389/fmicb 1 http://www.frontiersin.org/articles/10.3389/fimmu 1 http://www.enago.com 1 http://www.ebi.ac.uk/ipd/index.html 1 http://www.cbs.dtu.dk/services/NetMHCpan/ 1 http://www.cbs.dtu.dk/services/NetMHCpan 1 http://www.aphis 1 http://www.animalgenome 1 http://www.ambion.com/techlib/misc/siRNA_finder 1 http://www-stat.stanford.edu/~tibs/ 1 http://vetmed.illinois.edu/news/ 1 http://pdbe.org/pisa/ 1 http://pdbe.org/fold/ 1 http://mobyle.pasteur.fr/cgi-bin/portal.py? 1 http://jura.wi 1 http://figshare.com/s/97bfdb8d693a8c95ffaf).Ethics 1 http://expasy.org/ 1 http://espript 1 http://dx.doi.org/10.1016/ 1 http://dx.doi.org/10.1016 1 http://dx.doi.org/10 1 http://doi.org/10.7554/eLife.57132.sa2 1 http://doi.org/10.7554/eLife.57132.sa1 1 http://doi.org/10.1371/journal.ppat.1008169.g008 1 http://doi.org/10.1371/journal.ppat.1008169.g007 1 http://doi.org/10.1371/journal.ppat.1008169.g004 1 http://doi.org/10.1002/smll.201906206 1 http://doi 1 http://david.abcc.ncifcrf.gov/ 1 http://crispor.tefor.net/ 1 http://creativecommons.org/licenses/by/4.0/ 1 http://bioinf.cs.ucl.ac.uk/psipred/ Top 50 email addresses; "Who are you gonna call?" ------------------------------------------------- 1 nicolas.ruggli@ivi.admin.ch Top 50 positive assertions; "What sentences are in the shape of noun-verb-noun?" ------------------------------------------------------------------------------- 51 cells were then 13 cells were further 13 pigs did not 13 pigs had significantly 11 cells were mock 11 pigs were randomly 11 prrsv infected pigs 10 cells were co 10 vaccines are available 8 activity is not 8 antibodies were not 8 cells expressing egfp 8 pigs is independent 8 protein is essential 7 pigs was significantly 7 pigs were negative 7 pigs were positive 7 prrsv is not 7 prrsv was not 7 rna was reverse 7 virus infected cells 7 virus is not 7 virus is sufficient 6 activity did not 6 cell mediated immune 6 cells were cultured 6 infection did not 6 pigs following vaccination 6 prrsv infected pams 5 cells are not 5 pigs were vi 5 prrsv does not 5 prrsv infected cells 5 prrsv was first 5 rna was not 4 activity was not 4 antibodies is dose 4 cells do not 4 cells were also 4 cells were not 4 expression was significantly 4 groups were significantly 4 infection does not 4 pigs are resistant 4 pigs were also 4 protein did not 4 protein was not 4 protein was then 4 prrsv did not 4 prrsv has not Top 50 negative assertions; "What sentences are in the shape of noun-verb-no|not-noun?" --------------------------------------------------------------------------------------- 2 cells were not significantly 2 pigs had not yet 2 prrsv has not yet 2 response was not strong 2 rna was not detectable 1 activity is not necessary 1 activity is not well 1 activity was not unexpected 1 activity were not viable 1 antibodies are not usually 1 antibodies did not significantly 1 antibodies were not detectable 1 antibodies were not injections 1 cells are not permissive 1 cells do not egress 1 cells do not fully 1 cells is not yet 1 cells was not significantly 1 cells were not frequently 1 control was not statistically 1 controls were not significantly 1 gene had no effects 1 gene was not differentially 1 genes were not identifiable 1 group was not statistically 1 groups were not significant 1 groups were not significantly 1 ifn was not due 1 infection are not available 1 infection did not significantly 1 infection does not also 1 infection is not completely 1 infection is not fully 1 infections do not always 1 pigs had no fever 1 pigs had no lesions 1 pigs show no side 1 pigs showed no difference 1 protein did not fully 1 protein has no effect 1 protein is not clear 1 protein showed no signal 1 protein was not detectable 1 protein was not permanently 1 proteins were not purely 1 proteins were not successfully 1 prrsv did not completely 1 prrsv has no effective 1 prrsv is not fully 1 prrsv is not only A rudimentary bibliography --------------------------