Evidence map›Paper›PMID 26069265›Full record

ArticleBioinformatics (Oxford, England)2015

Change-O: a toolkit for analyzing large-scale B cell immunoglobulin repertoire sequencing data.

Namita T Gupta, Jason A Vander Heiden, Mohamed Uduman, Daniel Gadala-Maria, Gur Yaari, Steven H Kleinstein

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 584 papers.

0numbers the graph read from it
0cells of the map it votes in
584citing 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

584 citing papers in PubMed.

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  5. mAbs · 2026
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524 more citing papers are in PubMed but not listed here.

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.

Namita T GuptaInterdepartmental Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06511, USA.
Jason A Vander HeidenInterdepartmental Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06511, USA.
Mohamed UdumanDepartment of Pathology, Yale University School of Medicine, New Haven, CT 06511, USA and.
Daniel Gadala-MariaInterdepartmental Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06511, USA.
Gur YaariBioengineering Program, Faculty of Engineering, Bar-Ilan University, Ramat Gan 52900, Israel.
Steven H KleinsteinInterdepartmental Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06511, USA, Department of Pathology, Yale University School of Medicine, New Haven, CT 06511, USA and.

Funding

MEDICAL INFORMATICS RESEARCH TRAINING AT YALET15LM007056 · NLM · YALE UNIVERSITY · PI Mark Bender Gerstein, LUCILA OHNO-MACHADO · 1987 to 2026
$22.2M
COMPUTATIONAL TOOLS FOR THE ANALYSIS OF HIGH-THROUGHPUT IMMUNOGLOBULIN SEQUENCING EXPERIMENTSR01AI104739 · NIAID · YALE UNIVERSITY · PI KLEINSTEIN, STEVEN H. · 2014 to 2022
$3.6M
YALE BIOMEDICAL SUPERCOMPUTER: NEUROSCIENCES10RR019895 · NCRR · YALE UNIVERSITY · PI WILLIAMS, KENNETH ROBERT · 2004 to 2004
$1.6M
High Performance Computing Instrumentation for Yale University Biomedical HPC CenS10RR029676 · NCRR · YALE UNIVERSITY · PI BJORNSON, ROBERT DEAN · 2011 to 2011
$588k
NCRR NIH HHS S10 RR019895NCRR NIH HHS S10 RR029676NIAID NIH HHS R01 AI104739NIAID NIH HHS R01AI104739NLM NIH HHS T15LM07056
6 · The paper itself

Abstract

unlabelledAdvances in high-throughput sequencing technologies now allow for large-scale characterization of B cell immunoglobulin (Ig) repertoires. The high germline and somatic diversity of the Ig repertoire presents challenges for biologically meaningful analysis, which requires specialized computational methods. We have developed a suite of utilities, Change-O, which provides tools for advanced analyses of large-scale Ig repertoire sequencing data. Change-O includes tools for determining the complete set of Ig variable region gene segment alleles carried by an individual (including novel alleles), partitioning of Ig sequences into clonal populations, creating lineage trees, inferring somatic hypermutation targeting models, measuring repertoire diversity, quantifying selection pressure, and calculating sequence chemical properties. All Change-O tools utilize a common data format, which enables the seamless integration of multiple analyses into a single workflow. AVAILABILITY AND IMPLEMENTATION: Change-O is freely available for non-commercial use and may be downloaded from http://clip.med.yale.edu/changeo. CONTACT: steven.kleinstein@yale.edu.

Indexed as

Gene Rearrangement, B-LymphocyteSoftwareAllelesB-LymphocytesDatabases, GeneticGenes, ImmunoglobulinHigh-Throughput Nucleotide SequencingHumansImmunoglobulin Variable RegionMutationImmunoglobulin Variable Region

Identifiers

PMID26069265
PMCPMC4793929

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.