Article in mBio, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
2 · The registry
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what money
Authors and funding
10 authors.
John S A Mattick *Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, Maryland, USA.ORCID 0000-0002-8743-1158
Robin E Bromley *Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, Maryland, USA.ORCID 0000-0003-2738-2603
Kaylee J Watson *Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, Maryland, USA.ORCID 0009-0008-2288-5723
Ricky S Adkins *Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, Maryland, USA.
Christopher I HoltInstitute for Genome Sciences, University of Maryland School of Medicine, Baltimore, Maryland, USA.ORCID 0000-0002-0326-2052
Jarrett F LebovInstitute for Genome Sciences, University of Maryland School of Medicine, Baltimore, Maryland, USA.
Benjamin C SparklinInstitute for Genome Sciences, University of Maryland School of Medicine, Baltimore, Maryland, USA.ORCID 0000-0002-5547-185X
Tyonna S TysonInstitute for Genome Sciences, University of Maryland School of Medicine, Baltimore, Maryland, USA.
David A RaskoInstitute for Genome Sciences, University of Maryland School of Medicine, Baltimore, Maryland, USA.ORCID 0000-0002-7337-7154
Julie C Dunning HotoppInstitute for Genome Sciences, University of Maryland School of Medicine, Baltimore, Maryland, USA.ORCID 0000-0003-3862-986X
Funding
Technology CoreU19AI110820 · NIAID · UNIVERSITY OF MARYLAND BALTIMORE · PI RASKO, DAVID A · 2014 to 2023
$36.5M
Systems-Level Research in Microbial PathogenesisT32AI162579 · NIAID · UNIVERSITY OF MARYLAND BALTIMORE · PI NICHOLAS H CARBONETTI, Julie Dunning Hotopp · 2022 to 2026
$1.7M
American Cancer Society (ACS) IRG-18-160-16-IRGNational Science Foundation (NSF) EF 2025384NIAID NIH HHS T32 AI162579NIAID NIH HHS U19 AI110820
6 · The paper itself
Abstract
RNA transcripts are potential therapeutic targets, yet bacterial transcripts have uncharacterized biodiversity. We developed an algorithm for transcript prediction called tp.py using it to predict transcripts (mRNA and other RNAs) in
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.