Evidence map›Paper›PMID 29936185›Full record

ArticleCell systems2018

Mantis: A Fast, Small, and Exact Large-Scale Sequence-Search Index.

Prashant Pandey, Fatemeh Almodaresi, Michael A Bender, Michael Ferdman, Rob Johnson, Rob Patro

Abstract read
In one paragraph

Article in Cell systems, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.

0numbers the graph read from it
0cells of the map it votes in
50citing 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.

3 · Its place in the literature

Who cites it

50 citing papers in PubMed.

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  5. Movi Color: fast and accurate taxonomic classification with the move structure.ACM-BCB ... ... : the ... ACM Conference on Bioinformatics, Computational Biology and Biomedicine. ACM Conference on Bioinformatics, Computational Biology and Biomedicine · 2025
    Article
  6. A survey of k-mer methods and applications in bioinformatics.Computational and structural biotechnology journal · 2024
    Review
  7. Where the Patterns Are: Repetition-Aware Compression for Colored de Bruijn GraphsJournal of computational biology : a journal of computational molecular cell biology · 2024
    Article
  8. Article
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4 · The record

Corrections and comments

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

6 authors.

Prashant PandeyComputer Science Department, Stony Brook University, 100 Nicolls Rd, Stony Brook, NY 11794, USA.
Fatemeh AlmodaresiComputer Science Department, Stony Brook University, 100 Nicolls Rd, Stony Brook, NY 11794, USA.
Michael A BenderComputer Science Department, Stony Brook University, 100 Nicolls Rd, Stony Brook, NY 11794, USA.
Michael FerdmanComputer Science Department, Stony Brook University, 100 Nicolls Rd, Stony Brook, NY 11794, USA.
Rob JohnsonComputer Science Department, Stony Brook University, 100 Nicolls Rd, Stony Brook, NY 11794, USA; VMware Research, 3425 Hillview Ave, Palo Alto, CA 94304, USA.
Rob PatroComputer Science Department, Stony Brook University, 100 Nicolls Rd, Stony Brook, NY 11794, USA. Electronic address: rob.patro@cs.stonybrook.edu.

Funding

A Modular Framework for Accurate, Interpretable, and Reproducible Analysis of Long Read RNA-Seq DataR01HG009937 · NHGRI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Michael Isaiah Love, Robert Patro · 2018 to 2026
$2.8M
Biotechnology and Biological Sciences Research CouncilNHGRI NIH HHS R01 HG009937
6 · The paper itself

Abstract

Sequence-level searches on large collections of RNA sequencing experiments, such as the NCBI Sequence Read Archive (SRA), would enable one to ask many questions about the expression or variation of a given transcript in a population. Existing approaches, such as the sequence Bloom tree, suffer from fundamental limitations of the Bloom filter, resulting in slow build and query times, less-than-optimal space usage, and potentially large numbers of false-positives. This paper introduces Mantis, a space-efficient system that uses new data structures to index thousands of raw-read experiments and facilitates large-scale sequence searches. In our evaluation, index construction with Mantis is 6× faster and yields a 20% smaller index than the state-of-the-art split sequence Bloom tree (SSBT). For queries, Mantis is 6-108× faster than SSBT and has no false-positives or -negatives. For example, Mantis was able to search for all 200,400 known human transcripts in an index of 2,652 RNA sequencing experiments in 82 min; SSBT took close to 4 days.

Indexed as

SoftwareAnimalsDatabases, GeneticHumansRNASequence Analysis, RNATime FactorsTranscriptomeRNABloom filtercolor equivalence classescounting quotient filterde Bruijn graphexperiment discoveryMantisRNA sequencingsequence Bloom treesequence search

Identifiers

PMID29936185
PMCPMC10964368

What OpenQuestion holds

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Registered trials

None linked

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.