Evidence map›Paper›PMID 34828345›Full record

ReviewGenes2021

An Introductory Overview of Open-Source and Commercial Software Options for the Analysis of Forensic Sequencing Data.

Tunde I Huszar, Katherine B Gettings, Peter M Vallone

Open access · goldAbstract readReview
In one paragraph

Review in Genes, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
2.5field-weighted citation impact, top 11% of its field
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

2 citing papers in PubMed, 17 citations in OpenAlex.

  1. STRspy2.0: Unlocking the Potential of Long Reads for Forensic DNA Profiling.International journal of molecular sciences · 2026
    Article
  2. Article
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

3 authors at 1 institution in 1 country.

Tunde I HuszarNational Institute of Standards and Technology (NIST), Gaithersburg, MD 20899, USA.
Katherine B GettingsNational Institute of Standards and Technology (NIST), Gaithersburg, MD 20899, USA.
Peter M ValloneNational Institute of Standards and Technology (NIST), Gaithersburg, MD 20899, USA.
National Institute of Standards and Technology · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The top challenges of adopting new methods to forensic DNA analysis in routine laboratories are often the capital investment and the expertise required to implement and validate such methods locally. In the case of next-generation sequencing, in the last decade, several specifically forensic commercial options became available, offering reliable and validated solutions. Despite this, the readily available expertise to analyze, interpret and understand such data is still perceived to be lagging behind. This review gives an introductory overview for the forensic scientists who are at the beginning of their journey with implementing next-generation sequencing locally and because most in the field do not have a bioinformatics background may find it difficult to navigate the new terms and analysis options available. The currently available open-source and commercial software for forensic sequencing data analysis are summarized here to provide an accessible starting point for those fairly new to the forensic application of massively parallel sequencing.

Indexed as

SoftwareComputational BiologyData Interpretation, StatisticalDNA FingerprintingForensic GeneticsHigh-Throughput Nucleotide SequencingHumansMicrosatellite RepeatsSequence Analysis, DNAmassively parallel sequencing (MPS)next-generation sequencing (NGS)sequence analysisshort tandem repeat (STR)software

Identifiers

PMID34828345
PMCPMC8618049
OpenAlexW3210087778

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.