CRISPResso v2.2.6 – Analysis of Genome Editing Outcomes from Deep Sequencing data

CRISPResso v2.2.6

:: DESCRIPTION

CRISPResso2 is a software pipeline designed to enable rapid and intuitive interpretation of genome editing experiments.

::DEVELOPER

Pinello Lab.

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux/Windows/MacOsX
  • Python

:: DOWNLOAD

CRISPResso

:: MORE INFORMATION

Citation

Pinello L, et al.
Analyzing CRISPR genome-editing experiments with CRISPResso.
Nat Biotechnol, 34 (7), 695-7 2016 Jul 12

Clement K, et al.
CRISPResso2 provides accurate and rapid genome editing sequence analysis.
Nat Biotechnol. 2019 Mar; 37(3):224-226. doi: 10.1038/s41587-019-0032-3. PubMed PMID: 30809026.

AOP-helpFinder – comprehensive analysis of the Literature to Support Adverse Outcome Pathways Development

AOP-helpFinder

:: DESCRIPTION

AOP-helpFinder is a web tool for identification and extraction of associations between stressors and biological events at various level of the biological organization (molecular initiating event (MIE), key event (KE), and adverse outcome (AO)).

::DEVELOPER

AOP-helpFinder team

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Web Browser

:: DOWNLOAD

 NO

:: MORE INFORMATION

Citation

Jornod F, Jaylet T, Blaha L, Sarigiannis D, Tamisier L, Audouze K.
AOP-helpFinder webserver: a tool for comprehensive analysis of the literature to support adverse outcome pathways development.
Bioinformatics. 2021 Oct 30:btab750. doi: 10.1093/bioinformatics/btab750. Epub ahead of print. PMID: 34718414.

HMMvar 1.1.0 / HMMvar-multi / HMMvar-func – Functional Effects of Variants in Coding Regions

HMMvar 1.1.0 / HMMvar-multi / HMMvar-funcnc

:: DESCRIPTION

HMMvar: Small indels account for the second largest portion of human variants, however, available methods for indel functional predictions, no matter in coding or noncoding regions, are many fewer compared to those for SNPs. We developed HMMvar for predicting the functional effects of both SNPs and indels in coding regions of sequences.

HMMvar-multi: Complex diseases are likely to be caused by multiple genes and/or multiple mutations on individual genes, so quantitively measuring the effect of multiple variants together should be helpful for detecting causal genes/mutations for diseases. HMMvar-multi predicts the functional effects of multiple variants in the same gene based on HMMvar.

HMMvar-func is a new method for predicting the functional outcome of mutations in coding regions.

::DEVELOPER

Professor Zhang Liqing’s Lab

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux
  • Perl

:: DOWNLOAD

HMMvar / HMMvar-multi / HMMvar-func

:: MORE INFORMATION

Citation

Liu M, Watson LT, Zhang L.
Predicting the combined effect of multiple genetic variants.
Hum Genomics. 2015 Jul 30;9(1):18. doi: 10.1186/s40246-015-0040-4. PMID: 26223264; PMCID: PMC4520001.

BMC Bioinformatics. 2015 Oct 30;16:351. doi: 10.1186/s12859-015-0781-z.
HMMvar-func: a new method for predicting the functional outcome of genetic variants.
Liu M, Watson LT, Zhang L.