Leszek Rychlewski
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1971
Born on 1971-02-10.
1988
Started medical studies at the medical faculty (Charité) of the Humboldt University in Berlin.
1998
Defended dr. med. thesis at the Humboldt University.
1999
Founded BioInfoBank Institute and took the position of CEO.

Skills

science
Author of over 100 publications with over 10k citations (h-index>50). The articles cover mostly bioinformatics and related research areas.
software
Author of several algorithms and services in science (bioinformatics) and commerce. Author of the ESC blockchain (Adshares). Author of ASIC designs (BTC mining). Used languages include C, C++, Perl, Python, Verilog, SQL, JavaScript, HTML and others.
management
CEO of BioInfoBank Institute for over 20 years. Member of the management or supervisory boards in many other companies.
investment
Co-founder of the VC fund BIB Seed Capital. Investor in Medicalgorithmics, Proteon Pharmaceuticals and Adshares. Early investor in crypto assets.
mental
Highly skilled in forgetting (lost proficiency in German and Russian languages) of details and in generalizing. Lack of ability to learn if not interested. Light congenital amusia without problems in experiencing music.
evolution
6 children.

Links

scholar linkedin facebook everybodywiki pl.wiki

Genome, lost genes (pLoF mutations) SNP,INDEL

Genome, clinical annotations (only pathogenic and protective clinvar mutations) SNP,INDEL

chr: chromosome; position: position in chromosome (using Hg38 coordinates); dbsnpid: id of variant (mutation); found: this variant found in so many genomes in this database; who: max 10 genomes with this variant from this database sorted by similarity; freq: (max) frequency of this variant in public databases; homozygous: variant in both copies of the genome; gene: gene name; effect and description: description from clinvar database; note: variants with high frequency in public (freq) or this database; comment: Clinical annotations will change a lot in the future! Annotation of lost genes may not change.

Circo


The outer concentric ring is chromosomal information; The second ring represents the read coverage in histogram style. A histogram is the average coverage of a 0.5Mbp region; The third ring represents indel density in scatter style. A black dot is calculated as indel number in a range of 1Mbp/1Mbp); The fourth ring represents snp density in scatter style. A green dot is calculated as snp number in a range of 1Mbp/1Mbp); The fifth ring represents the proportion of homozygous SNP (orange) and heterozygous SNP (grey) in histogram style. A histogram is calculated from a 1Mbp region; The sixth ring represents the CNV inference. Red means gain, and green means loss; The most central ring represents the SV inference in exonic and splicing regions. If SV is called using breakdancer or crest, then CTX (orange), INS (green), DEL (grey), ITX (pink) and INV (blue). If SV is called using delly, then TRA (orange), INS (green), DEL (grey), DUP (pink) and INV (blue);

Similar genomes (max total of 3704620 used for caculating match%)

who (max 20)matchtotalmatch%
3019395369609881.69%
2943683369317979.71%
2937818370128979.37%
2934307369816779.34%
2932255370509379.15%
2928179368267279.51%
2731812340454080.24%
2728420342903579.57%
2681015368767172.70%
2577806370089169.65%
2484607368928567.35%
2468181389196966.62%
2445977370167566.08%
2440819370005765.97%
2440411369999265.96%
2432402368680465.98%
2431693370404665.65%
2430955368976265.88%
2427856369300365.74%
2426821368259265.90%

who: maximum 20 most similar genomes in this database sorted by number of common SNP variants; match: number of common SNP variants; total: total number of SNP variants in similar genome; match: similarity = (common variants)/min(total variants in tested or similar genome);

Statistics

sequencing quality
Raw reads84080839
Raw data(G)99.86
Effective(%)0.04
Error(%)95.17
Q20(%)87.89
Q30(%)43.17
GC(%)43.77
mapping, coverage and depth
Total926015828 (100%)
Duplicate93523564 (13.89%)
Mapped673512843 (72.73%)
Properly mapped659688462 (71.24%)
PE mapped672039004 (72.57%)
SE mapped2947678 (0.32%)
With mate on different chr8797482 (0.95%)
-''- and ((mapQ>=5))5281845 (0.57%)
Average_sequencing_depth33.68
Coverage99.81%
Coverage_at_least_4X99.53%
Coverage_at_least_10X98.68%
Coverage_at_least_20X92.10%
number of SNPs
CDS23908
synonymous_SNP12039
missense_SNP11498
stopgain92
stoploss12
unknown282
intronic1282778
UTR327207
UTR56227
splicing78
ncRNA_exonic14355
ncRNA_intronic228079
ncRNA_splicing65
upstream23546
downstream25252
intergenic2191568
Total3824170
feature of SNPs
Total3824170
Het2356303
Hom1467867
transition2552861
transvertion1271309
ts/tv2.01
dbSNP percentage3692215 (96.55%)
novel131955
novel ts72463
novel tv59492
novel ts/tv1.22
number of InDels
CDS702
frameshift_deletion163
frameshift_insertion112
nonframeshift_deletion210
nonframeshift_insertion192
stopgain7
stoploss1
unknown24
intronic304561
UTR36958
UTR51018
splicing42
ncRNA_exonic2045
ncRNA_intronic50769
ncRNA_splicing16
upstream5748
downstream6409
intergenic454721
Total833267
feature of InDels
Total833267
Het526358
Hom306909
dbSNP percentage732380 (87.89%)
novel100887
structural variants
DUP1509
INV791
INS76
DEL4388
BND1479
copy number variants
gain_count111
gain_size1667000
loss_count171
loss_size2203000
total_count282
total_size3870000
powered by BioInfoBank Institute and AfterLife Fund