ReviewProceedings of the National Academy of Sciences of the United States of America2005
Statistical signals in bioinformatics.
Review in Proceedings of the National Academy of Sciences of the United States of America, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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.
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.
Who cites it
9 citing papers in PubMed.
- Estimating statistical significance of local protein profile-profile alignments.BMC bioinformatics · 2019Article
- Screening of nucleotide variations in genomic sequences encoding charged protein regions in the human genome.BMC genomics · 2017Article
- A new database (GCD) on genome composition for eukaryote and prokaryote genome sequences and their initial analyses.Genome biology and evolution · 2012Article
- Statistics and bioinformatics in nutritional sciences: analysis of complex data in the era of systems biology.The Journal of nutritional biochemistry · 2010Review
- Evolutionary conservation of orthoretroviral long terminal repeats (LTRs) and ab initio detection of single LTRs in genomic data.PloS one · 2009Article
- AT excursion: a new approach to predict replication origins in viral genomes by locating AT-rich regions.BMC bioinformatics · 2007Article
- Distinctive features of large complex virus genomes and proteomes.Proceedings of the National Academy of Sciences of the United States of America · 2007Article
- A two-step multiple-marker strategy for genome-wide association studies.BMC proceedings · 2007Article
- Compressing proteomes: the relevance of medium range correlations.EURASIP journal on bioinformatics & systems biology · 2007Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The Arthur M. Sackler Colloquium of the National Academy of Sciences, "Frontiers in Bioinformatics: Unsolved Problems and Challenges," organized by David Eisenberg, Russ Altman, and myself, was held October 15-17, 2004, to provide a forum for discussing concepts and methods in bioinformatics serving the biological and medical sciences. The deluge of genomic and proteomic data in the last two decades has driven the creation of tools that search and analyze biomolecular sequences and structures. Bioinformatics is highly interdisciplinary, using knowledge from mathematics, statistics, computer science, biology, medicine, physics, chemistry, and engineering.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.