Rank
|
Page title
|
Views
|
Daily average
|
Assessment
|
Importance
|
1
|
CRISPR
|
44,992
|
1,451
|
B
|
Top
|
2
|
Receiver operating characteristic
|
40,482
|
1,305
|
B
|
Mid
|
3
|
Combined DNA Index System
|
38,958
|
1,256
|
GA
|
Low
|
4
|
Bioinformatics
|
28,490
|
919
|
C
|
Top
|
5
|
Dynamic programming
|
27,877
|
899
|
B
|
Top
|
6
|
Hidden Markov model
|
27,202
|
877
|
GA
|
Top
|
7
|
Systems theory
|
26,747
|
862
|
C
|
Mid
|
8
|
Last universal common ancestor
|
26,322
|
849
|
GA
|
Mid
|
9
|
National Center for Biotechnology Information
|
25,330
|
817
|
C
|
Low
|
10
|
Clade
|
24,986
|
806
|
C
|
Mid
|
11
|
23andMe
|
23,598
|
761
|
C
|
Low
|
12
|
DNA sequencing
|
22,607
|
729
|
C
|
High
|
13
|
Phylogenetic tree
|
21,929
|
707
|
B
|
Top
|
14
|
Genome
|
19,569
|
631
|
C
|
High
|
15
|
Michaelis–Menten kinetics
|
18,512
|
597
|
B
|
Top
|
16
|
Cellular automaton
|
18,239
|
588
|
B
|
Low
|
17
|
Ontology (information science)
|
17,347
|
559
|
C
|
High
|
18
|
Martin Kulldorff
|
16,185
|
522
|
B
|
Low
|
19
|
AlphaFold
|
15,757
|
508
|
C
|
High
|
20
|
Phylogenetics
|
15,544
|
501
|
C
|
Top
|
21
|
Sanger sequencing
|
13,611
|
439
|
C
|
Mid
|
22
|
PubMed Central
|
12,892
|
415
|
B
|
Mid
|
23
|
FASTA format
|
12,209
|
393
|
B
|
High
|
24
|
Heat map
|
10,944
|
353
|
Start
|
High
|
25
|
Compartmental models in epidemiology
|
10,335
|
333
|
C
|
Mid
|
26
|
Synthetic biology
|
10,224
|
329
|
B
|
Mid
|
27
|
Most recent common ancestor
|
10,220
|
329
|
B
|
High
|
28
|
Genomics
|
9,893
|
319
|
B
|
High
|
29
|
BLAST (biotechnology)
|
9,514
|
306
|
C
|
Top
|
30
|
Cladistics
|
9,456
|
305
|
C
|
Mid
|
31
|
List of algorithms
|
9,084
|
293
|
List
|
Mid
|
32
|
Sequence alignment
|
8,935
|
288
|
C
|
High
|
33
|
Whole genome sequencing
|
8,878
|
286
|
B
|
High
|
34
|
RNA-Seq
|
8,813
|
284
|
B
|
Top
|
35
|
FASTQ format
|
8,750
|
282
|
B
|
Mid
|
36
|
Biostatistics
|
8,625
|
278
|
B
|
Top
|
37
|
Proteomics
|
8,462
|
272
|
C
|
High
|
38
|
DNA microarray
|
8,396
|
270
|
B
|
Top
|
39
|
Computational biology
|
7,826
|
252
|
C
|
Top
|
40
|
Illumina, Inc.
|
7,783
|
251
|
C
|
Low
|
41
|
Phi coefficient
|
7,730
|
249
|
Start
|
Mid
|
42
|
Folding@home
|
7,428
|
239
|
B
|
Mid
|
43
|
Petri net
|
7,387
|
238
|
B
|
Low
|
44
|
Lineweaver–Burk plot
|
7,358
|
237
|
B
|
Low
|
45
|
Protein Data Bank
|
7,290
|
235
|
C
|
High
|
46
|
Mathematical and theoretical biology
|
7,277
|
234
|
C
|
Top
|
47
|
Omics
|
7,122
|
229
|
C
|
Mid
|
48
|
Docking (molecular)
|
7,046
|
227
|
B
|
High
|
49
|
PubChem
|
6,813
|
219
|
Start
|
Mid
|
50
|
Metagenomics
|
6,722
|
216
|
GA
|
Mid
|
51
|
George Church (geneticist)
|
6,579
|
212
|
C
|
Mid
|
52
|
Variant Call Format
|
6,555
|
211
|
Start
|
Mid
|
53
|
Medical Subject Headings
|
6,400
|
206
|
C
|
Mid
|
54
|
Needleman–Wunsch algorithm
|
6,249
|
201
|
Start
|
Mid
|
55
|
Single-cell sequencing
|
6,139
|
198
|
C
|
High
|
56
|
DNA barcoding
|
6,135
|
197
|
B
|
High
|
57
|
Computational neuroscience
|
5,997
|
193
|
C
|
Top
|
58
|
Non-coding DNA
|
5,979
|
192
|
C
|
Low
|
59
|
Systems biology
|
5,976
|
192
|
C
|
Top
|
60
|
Metabolomics
|
5,872
|
189
|
C
|
Mid
|
61
|
Genome-wide association study
|
5,819
|
187
|
GA
|
High
|
62
|
Multiple sequence alignment
|
5,691
|
183
|
GA
|
High
|
63
|
Gene nomenclature
|
5,515
|
177
|
Start
|
Mid
|
64
|
Multiomics
|
5,501
|
177
|
C
|
High
|
65
|
Protein structure prediction
|
5,416
|
174
|
B
|
High
|
66
|
Baum–Welch algorithm
|
5,185
|
167
|
C
|
Mid
|
67
|
Smith–Waterman algorithm
|
5,174
|
166
|
B
|
Top
|
68
|
High-throughput screening
|
5,131
|
165
|
B
|
Low
|
69
|
Spurious relationship
|
5,024
|
162
|
Start
|
Low
|
70
|
Phred quality score
|
4,934
|
159
|
Start
|
Mid
|
71
|
STR analysis
|
4,824
|
155
|
Start
|
Low
|
72
|
Gene set enrichment analysis
|
4,775
|
154
|
C
|
Mid
|
73
|
BLOSUM
|
4,747
|
153
|
C
|
High
|
74
|
Denis Noble
|
4,692
|
151
|
Start
|
Low
|
75
|
Junk DNA
|
4,575
|
147
|
B
|
Low
|
76
|
Burrows–Wheeler transform
|
4,427
|
142
|
C
|
Mid
|
77
|
Molecular clock
|
4,422
|
142
|
C
|
High
|
78
|
Data wrangling
|
4,285
|
138
|
Start
|
Low
|
79
|
Nanopore sequencing
|
4,210
|
135
|
C
|
Low
|
80
|
Illumina dye sequencing
|
4,204
|
135
|
C
|
Mid
|
81
|
Similarity measure
|
4,200
|
135
|
Start
|
Mid
|
82
|
Polygenic score
|
4,117
|
132
|
C
|
Mid
|
83
|
UniProt
|
4,053
|
130
|
Start
|
High
|
84
|
Transcriptome
|
4,047
|
130
|
B
|
High
|
85
|
ATAC-seq
|
4,003
|
129
|
Start
|
Low
|
86
|
K-mer
|
3,995
|
128
|
B
|
Mid
|
87
|
Conserved sequence
|
3,986
|
128
|
C
|
High
|
88
|
Protein–protein interaction
|
3,970
|
128
|
C
|
High
|
89
|
Jmol
|
3,954
|
127
|
Start
|
Mid
|
90
|
KNIME
|
3,939
|
127
|
Start
|
Low
|
91
|
Gene Ontology
|
3,919
|
126
|
C
|
High
|
92
|
Transcriptomics technologies
|
3,849
|
124
|
GA
|
High
|
93
|
Exome sequencing
|
3,811
|
122
|
C
|
High
|
94
|
What Is Life?
|
3,796
|
122
|
C
|
Low
|
95
|
Crossover (genetic algorithm)
|
3,792
|
122
|
B
|
Low
|
96
|
N50, L50, and related statistics
|
3,772
|
121
|
Start
|
Low
|
97
|
SAM (file format)
|
3,765
|
121
|
Start
|
Mid
|
98
|
Root-mean-square deviation of atomic positions
|
3,747
|
120
|
Start
|
Mid
|
99
|
GenBank
|
3,730
|
120
|
Start
|
High
|
100
|
Environmental DNA
|
3,726
|
120
|
B
|
Low
|
101
|
Volcano plot (statistics)
|
3,632
|
117
|
C
|
Mid
|
102
|
Genetic programming
|
3,626
|
116
|
B
|
Mid
|
103
|
Monod equation
|
3,588
|
115
|
Start
|
Low
|
104
|
BED (file format)
|
3,542
|
114
|
C
|
Low
|
105
|
KEGG
|
3,531
|
113
|
C
|
High
|
106
|
Intrinsically disordered proteins
|
3,520
|
113
|
Start
|
Mid
|
107
|
Bioconductor
|
3,500
|
112
|
C
|
Mid
|
108
|
Broad Institute
|
3,496
|
112
|
Start
|
Low
|
109
|
Biological computing
|
3,457
|
111
|
C
|
Mid
|
110
|
ChIP sequencing
|
3,455
|
111
|
C
|
Mid
|
111
|
Daphne Koller
|
3,411
|
110
|
C
|
Low
|
112
|
Genome size
|
3,386
|
109
|
B
|
Mid
|
113
|
UK Biobank
|
3,337
|
107
|
B
|
Low
|
114
|
Pan-genome
|
3,291
|
106
|
C
|
Mid
|
115
|
List of biological databases
|
3,128
|
100
|
List
|
High
|
116
|
Isomorphic Labs
|
3,121
|
100
|
Stub
|
Low
|
117
|
List of sequence alignment software
|
3,095
|
99
|
List
|
High
|
118
|
Spatial transcriptomics
|
2,979
|
96
|
Start
|
Low
|
119
|
Gene regulatory network
|
2,975
|
95
|
B
|
High
|
120
|
Ludwig von Bertalanffy
|
2,944
|
94
|
Start
|
Low
|
121
|
Microarray
|
2,941
|
94
|
Start
|
Top
|
122
|
Brain mapping
|
2,914
|
94
|
Start
|
Low
|
123
|
Clustal
|
2,862
|
92
|
Start
|
Mid
|
124
|
Molecular phylogenetics
|
2,853
|
92
|
C
|
High
|
125
|
10x Genomics
|
2,829
|
91
|
Start
|
Mid
|
126
|
Reference genome
|
2,806
|
90
|
Start
|
Low
|
127
|
Distance matrix
|
2,800
|
90
|
Start
|
High
|
128
|
DNA annotation
|
2,745
|
88
|
Start
|
Low
|
129
|
Protein Data Bank (file format)
|
2,733
|
88
|
Start
|
Mid
|
130
|
Superspreading event
|
2,667
|
86
|
C
|
High
|
131
|
Mathematical modelling of infectious diseases
|
2,664
|
85
|
C
|
Low
|
132
|
Europe PubMed Central
|
2,634
|
84
|
Start
|
Low
|
133
|
Robert Gentleman (statistician)
|
2,604
|
84
|
Start
|
Mid
|
134
|
John Maynard Smith
|
2,554
|
82
|
C
|
Mid
|
135
|
European Molecular Biology Laboratory
|
2,535
|
81
|
C
|
Low
|
136
|
Schrödinger, Inc.
|
2,529
|
81
|
Start
|
Low
|
137
|
PyMOL
|
2,516
|
81
|
Start
|
Low
|
138
|
Kabsch algorithm
|
2,516
|
81
|
Start
|
Mid
|
139
|
Genetic distance
|
2,506
|
80
|
B
|
Mid
|
140
|
Wikispecies
|
2,469
|
79
|
Start
|
Mid
|
141
|
David Baker (biochemist)
|
2,437
|
78
|
Start
|
Low
|
142
|
List of protein structure prediction software
|
2,431
|
78
|
List
|
Mid
|
143
|
Fitness function
|
2,426
|
78
|
Start
|
Mid
|
144
|
Andrew Huxley
|
2,414
|
77
|
C
|
Low
|
145
|
Proteome
|
2,409
|
77
|
C
|
High
|
146
|
Consensus sequence
|
2,400
|
77
|
Start
|
High
|
147
|
Maximum parsimony (phylogenetics)
|
2,372
|
76
|
C
|
High
|
148
|
Metabarcoding
|
2,330
|
75
|
B
|
Low
|
149
|
Neighbor joining
|
2,314
|
74
|
C
|
High
|
150
|
Oxford Nanopore Technologies
|
2,282
|
73
|
Start
|
Low
|
151
|
Synteny
|
2,281
|
73
|
Start
|
Low
|
152
|
UPGMA
|
2,280
|
73
|
C
|
Low
|
153
|
FitzHugh–Nagumo model
|
2,275
|
73
|
C
|
Low
|
154
|
Homology modeling
|
2,267
|
73
|
B
|
High
|
155
|
DNA database
|
2,246
|
72
|
Start
|
Mid
|
156
|
Topologically associating domain
|
2,242
|
72
|
C
|
Low
|
157
|
FASTA
|
2,201
|
71
|
B
|
High
|
158
|
List of open-source bioinformatics software
|
2,179
|
70
|
List
|
High
|
159
|
DbSNP
|
2,164
|
69
|
B
|
Mid
|
160
|
Sequence motif
|
2,157
|
69
|
Start
|
High
|
161
|
Chromosome conformation capture
|
2,135
|
68
|
C
|
Low
|
162
|
Functional genomics
|
2,135
|
68
|
C
|
High
|
163
|
Biological database
|
2,118
|
68
|
Start
|
High
|
164
|
Point accepted mutation
|
2,092
|
67
|
B
|
High
|
165
|
DNA sequencer
|
2,090
|
67
|
Start
|
Low
|
166
|
Data curation
|
2,082
|
67
|
Start
|
Mid
|
167
|
Online Mendelian Inheritance in Man
|
2,082
|
67
|
Start
|
Mid
|
168
|
Amino acid replacement
|
2,060
|
66
|
Start
|
High
|
169
|
Leroy Hood
|
2,052
|
66
|
B
|
Low
|
170
|
Probabilistic context-free grammar
|
2,024
|
65
|
B
|
High
|
171
|
Global Biodiversity Information Facility
|
1,987
|
64
|
Start
|
Low
|
172
|
Outgroup (cladistics)
|
1,960
|
63
|
Start
|
Mid
|
173
|
Sequence analysis
|
1,941
|
62
|
C
|
Top
|
174
|
STRING
|
1,939
|
62
|
B
|
Low
|
175
|
Approximate Bayesian computation
|
1,939
|
62
|
B
|
Low
|
176
|
Computational phylogenetics
|
1,938
|
62
|
C
|
High
|
177
|
Michael Levitt
|
1,928
|
62
|
C
|
Low
|
178
|
Biochip
|
1,927
|
62
|
C
|
Low
|
179
|
Weighted correlation network analysis
|
1,926
|
62
|
B
|
Low
|
180
|
UCSC Genome Browser
|
1,919
|
61
|
Start
|
High
|
181
|
List of RNA-Seq bioinformatics tools
|
1,913
|
61
|
List
|
Mid
|
182
|
Catalogue of Life
|
1,908
|
61
|
C
|
Low
|
183
|
Models of DNA evolution
|
1,905
|
61
|
B
|
Mid
|
184
|
Gene family
|
1,894
|
61
|
C
|
High
|
185
|
Pardis Sabeti
|
1,884
|
60
|
B
|
Low
|
186
|
Contig
|
1,868
|
60
|
C
|
High
|
187
|
Phylogeny
|
1,846
|
59
|
Redirect
|
NA
|
188
|
Binary Alignment Map
|
1,826
|
58
|
Stub
|
Mid
|
189
|
Pfam
|
1,803
|
58
|
B
|
High
|
190
|
EBird
|
1,801
|
58
|
Start
|
Low
|
191
|
ChEMBL
|
1,792
|
57
|
Start
|
Mid
|
192
|
AMBER
|
1,787
|
57
|
C
|
Mid
|
193
|
Comparative genomics
|
1,780
|
57
|
C
|
Top
|
194
|
List of mass spectrometry software
|
1,779
|
57
|
List
|
Low
|
195
|
European Bioinformatics Institute
|
1,753
|
56
|
C
|
Low
|
196
|
Celera Corporation
|
1,747
|
56
|
Start
|
Low
|
197
|
Position weight matrix
|
1,733
|
55
|
C
|
Top
|
198
|
Gap penalty
|
1,724
|
55
|
C
|
High
|
199
|
SNP array
|
1,721
|
55
|
Start
|
High
|
200
|
Mutation (genetic algorithm)
|
1,712
|
55
|
Start
|
Low
|
201
|
Virtual screening
|
1,707
|
55
|
Start
|
High
|
202
|
Biochemical cascade
|
1,703
|
54
|
C
|
Mid
|
203
|
CASP
|
1,702
|
54
|
C
|
Mid
|
204
|
Cyberneticist
|
1,699
|
54
|
Stub
|
Low
|
205
|
Indel
|
1,694
|
54
|
Start
|
Low
|
206
|
Substitution model
|
1,686
|
54
|
B
|
Mid
|
207
|
Manolis Kellis
|
1,681
|
54
|
C
|
Low
|
208
|
RefSeq
|
1,681
|
54
|
Start
|
Mid
|
209
|
Protein family
|
1,667
|
53
|
Start
|
High
|
210
|
NanoString Technologies
|
1,662
|
53
|
Start
|
Low
|
211
|
Gene prediction
|
1,660
|
53
|
C
|
High
|
212
|
General feature format
|
1,658
|
53
|
Start
|
Low
|
213
|
List of phylogenetics software
|
1,656
|
53
|
List
|
High
|
214
|
1000 Genomes Project
|
1,655
|
53
|
B
|
Low
|
215
|
Haar-like feature
|
1,625
|
52
|
C
|
Low
|
216
|
Gene expression profiling
|
1,607
|
51
|
B
|
High
|
217
|
Alan Hodgkin
|
1,603
|
51
|
Start
|
Low
|
218
|
List of RNA structure prediction software
|
1,569
|
50
|
List
|
Low
|
219
|
List of protein-ligand docking software
|
1,556
|
50
|
List
|
Mid
|
220
|
Aviv Regev
|
1,538
|
49
|
Start
|
Low
|
221
|
Wellcome Sanger Institute
|
1,529
|
49
|
C
|
Low
|
222
|
ENCODE
|
1,526
|
49
|
C
|
Mid
|
223
|
Structural bioinformatics
|
1,523
|
49
|
B
|
High
|
224
|
Cooperative binding
|
1,508
|
48
|
B
|
Mid
|
225
|
Ensembl genome database project
|
1,508
|
48
|
B
|
High
|
226
|
Sepp Hochreiter
|
1,506
|
48
|
Start
|
Low
|
227
|
FishBase
|
1,503
|
48
|
Start
|
Low
|
228
|
Solvation shell
|
1,496
|
48
|
Start
|
Low
|
229
|
Single-cell transcriptomics
|
1,491
|
48
|
C
|
Mid
|
230
|
Sequence assembly
|
1,483
|
47
|
Start
|
High
|
231
|
Population structure (genetics)
|
1,464
|
47
|
Start
|
Low
|
232
|
Ecosystem model
|
1,455
|
46
|
Start
|
Mid
|
233
|
Sequence logo
|
1,448
|
46
|
B
|
Mid
|
234
|
GROMACS
|
1,445
|
46
|
Start
|
Low
|
235
|
AutoDock
|
1,442
|
46
|
Start
|
Mid
|
236
|
Metabolome
|
1,432
|
46
|
C
|
High
|
237
|
Biobank
|
1,427
|
46
|
Start
|
High
|
238
|
C. H. Waddington
|
1,414
|
45
|
C
|
Low
|
239
|
ChEBI
|
1,408
|
45
|
Start
|
Low
|
240
|
Dot plot (bioinformatics)
|
1,402
|
45
|
Start
|
Mid
|
241
|
Foundational Model of Anatomy
|
1,393
|
44
|
Start
|
Low
|
242
|
MA plot
|
1,378
|
44
|
Start
|
Low
|
243
|
Encyclopedia of Life
|
1,363
|
43
|
Start
|
Mid
|
244
|
Microarray analysis techniques
|
1,358
|
43
|
B
|
Mid
|
245
|
Machine learning in bioinformatics
|
1,355
|
43
|
C
|
High
|
246
|
Ion semiconductor sequencing
|
1,342
|
43
|
C
|
Low
|
247
|
Knowledge engineering
|
1,340
|
43
|
Start
|
Low
|
248
|
RNA integrity number
|
1,325
|
42
|
Stub
|
Low
|
249
|
Entrez
|
1,322
|
42
|
Start
|
Mid
|
250
|
RAPTOR (software)
|
1,321
|
42
|
Start
|
Mid
|
251
|
Matthews correlation coefficient
|
1,287
|
41
|
Redirect
|
NA
|
252
|
Structural Classification of Proteins database
|
1,281
|
41
|
Start
|
High
|
253
|
Biological systems engineering
|
1,251
|
40
|
Start
|
Low
|
254
|
Rosetta@home
|
1,237
|
39
|
C
|
Mid
|
255
|
Protein design
|
1,233
|
39
|
C
|
Mid
|
256
|
Lior Pachter
|
1,230
|
39
|
Start
|
Mid
|
257
|
Amplicon sequence variant
|
1,225
|
39
|
Start
|
Low
|
258
|
MGI (company)
|
1,222
|
39
|
C
|
Low
|
259
|
Scoring functions for docking
|
1,214
|
39
|
Start
|
Mid
|
260
|
DNA Data Bank of Japan
|
1,205
|
38
|
Stub
|
Low
|
261
|
GeneCards
|
1,205
|
38
|
C
|
Mid
|
262
|
List of sequenced animal genomes
|
1,203
|
38
|
List
|
Mid
|
263
|
Cable theory
|
1,181
|
38
|
C
|
Mid
|
264
|
Molecular Evolutionary Genetics Analysis
|
1,176
|
37
|
Start
|
Low
|
265
|
Eadie–Hofstee diagram
|
1,173
|
37
|
Start
|
Low
|
266
|
CUT&RUN sequencing
|
1,159
|
37
|
C
|
Low
|
267
|
D'Arcy Wentworth Thompson
|
1,143
|
36
|
GA
|
Mid
|
268
|
Ukkonen's algorithm
|
1,143
|
36
|
Stub
|
Low
|
269
|
Bayesian inference in phylogeny
|
1,142
|
36
|
C
|
High
|
270
|
Substitution matrix
|
1,139
|
36
|
C
|
High
|
271
|
Theoretical ecology
|
1,135
|
36
|
B
|
High
|
272
|
Attack rate
|
1,131
|
36
|
Start
|
Mid
|
273
|
CHARMM
|
1,125
|
36
|
B
|
Mid
|
274
|
All of Us (initiative)
|
1,124
|
36
|
C
|
Low
|
275
|
Chromosome (genetic algorithm)
|
1,121
|
36
|
Start
|
Low
|
276
|
List of genetic algorithm applications
|
1,099
|
35
|
List
|
Low
|
277
|
Protein contact map
|
1,081
|
34
|
Start
|
Mid
|
278
|
SAMtools
|
1,070
|
34
|
Start
|
Low
|
279
|
Hanes–Woolf plot
|
1,070
|
34
|
Start
|
Low
|
280
|
List of phylogenetic tree visualization software
|
1,064
|
34
|
List
|
Mid
|
281
|
DSSP (algorithm)
|
1,055
|
34
|
Start
|
Low
|
282
|
Brendan Frey
|
1,052
|
33
|
B
|
Low
|
283
|
Biopython
|
1,050
|
33
|
C
|
High
|
284
|
Umbrella sampling
|
1,045
|
33
|
Start
|
Low
|
285
|
Vito Volterra
|
1,044
|
33
|
C
|
Low
|
286
|
Tournament selection
|
1,035
|
33
|
Start
|
Low
|
287
|
List of bioinformatics journals
|
1,035
|
33
|
List
|
Low
|
288
|
Protein superfamily
|
1,035
|
33
|
B
|
High
|
289
|
Margaret Oakley Dayhoff
|
1,033
|
33
|
B
|
High
|
290
|
Institute of Genomics and Integrative Biology
|
1,029
|
33
|
C
|
Low
|
291
|
Biological network
|
1,024
|
33
|
C
|
High
|
292
|
List of neuroscience databases
|
1,009
|
32
|
List
|
Low
|
293
|
Interactome
|
1,008
|
32
|
C
|
Mid
|
294
|
Molecular models of DNA
|
1,002
|
32
|
B
|
Mid
|
295
|
CATH database
|
985
|
31
|
Start
|
Mid
|
296
|
Trajectory inference
|
964
|
31
|
C
|
Low
|
297
|
Conservative replacement
|
959
|
30
|
Start
|
Low
|
298
|
ABI Solid Sequencing
|
958
|
30
|
Start
|
Low
|
299
|
Read (biology)
|
958
|
30
|
C
|
High
|
300
|
Paradox of the plankton
|
953
|
30
|
Start
|
Low
|
301
|
Centre for DNA Fingerprinting and Diagnostics
|
952
|
30
|
Start
|
Low
|
302
|
Avogadro (software)
|
950
|
30
|
Stub
|
Low
|
303
|
Hirschberg's algorithm
|
942
|
30
|
B
|
Low
|
304
|
Motoo Kimura
|
939
|
30
|
C
|
High
|
305
|
HMMER
|
938
|
30
|
B
|
High
|
306
|
Robert Rosen (biologist)
|
938
|
30
|
Start
|
Low
|
307
|
List of sequenced eukaryotic genomes
|
937
|
30
|
List
|
Mid
|
308
|
DeCODE genetics
|
930
|
30
|
Start
|
Low
|
309
|
Cross-species transmission
|
921
|
29
|
C
|
Low
|
310
|
Modelling biological systems
|
921
|
29
|
C
|
High
|
311
|
Synthetic biological circuit
|
920
|
29
|
Start
|
Low
|
312
|
Mass spectrometry data format
|
916
|
29
|
Start
|
Low
|
313
|
List of gene prediction software
|
915
|
29
|
List
|
Mid
|
314
|
World Community Grid
|
909
|
29
|
C
|
Low
|
315
|
UCSF Chimera
|
908
|
29
|
Start
|
Low
|
316
|
Computational genomics
|
903
|
29
|
Start
|
Mid
|
317
|
List of molecular graphics systems
|
900
|
29
|
List
|
Mid
|
318
|
Boolean network
|
899
|
29
|
C
|
Mid
|
319
|
Co-occurrence network
|
897
|
28
|
Start
|
Low
|
320
|
Batch effect
|
896
|
28
|
Stub
|
Low
|
321
|
Expasy
|
894
|
28
|
Start
|
Mid
|
322
|
PROSITE
|
888
|
28
|
Start
|
High
|
323
|
Monod–Wyman–Changeux model
|
886
|
28
|
Start
|
Mid
|
324
|
De novo sequence assemblers
|
881
|
28
|
Start
|
Low
|
325
|
Cytoscape
|
872
|
28
|
B
|
High
|
326
|
Polytomy
|
866
|
27
|
Start
|
Low
|
327
|
Galaxy (computational biology)
|
854
|
27
|
Start
|
High
|
328
|
454 Life Sciences
|
853
|
27
|
C
|
Low
|
329
|
Flux balance analysis
|
853
|
27
|
B
|
High
|
330
|
HUGO Gene Nomenclature Committee
|
852
|
27
|
Start
|
Mid
|
331
|
Eric Xing
|
851
|
27
|
Stub
|
Low
|
332
|
Barry Smith (ontologist)
|
850
|
27
|
C
|
Low
|
333
|
Swiss-model
|
850
|
27
|
Start
|
Mid
|
334
|
Open Tree of Life
|
838
|
27
|
Start
|
Low
|
335
|
Template modeling score
|
827
|
26
|
Start
|
Low
|
336
|
Lipidomics
|
827
|
26
|
C
|
Low
|
337
|
Accession number (bioinformatics)
|
820
|
26
|
Start
|
Low
|
338
|
MicroRNA sequencing
|
808
|
26
|
C
|
Low
|
339
|
InterPro
|
792
|
25
|
B
|
High
|
340
|
Bonnie Berger
|
786
|
25
|
Start
|
Low
|
341
|
EMBOSS
|
781
|
25
|
Start
|
Mid
|
342
|
Ewan Birney
|
776
|
25
|
Start
|
Low
|
343
|
Network motif
|
774
|
24
|
B
|
Low
|
344
|
Sequence database
|
762
|
24
|
Start
|
Mid
|
345
|
McDonald–Kreitman test
|
758
|
24
|
C
|
Mid
|
346
|
Chemical database
|
753
|
24
|
Start
|
Mid
|
347
|
Visual Molecular Dynamics
|
752
|
24
|
Start
|
Low
|
348
|
Michael Eisen
|
741
|
23
|
Start
|
Low
|
349
|
RasMol
|
739
|
23
|
Start
|
Mid
|
350
|
GENSCAN
|
738
|
23
|
Stub
|
Mid
|
351
|
Phylogenetic comparative methods
|
737
|
23
|
C
|
Mid
|
352
|
List of human protein-coding genes 1
|
736
|
23
|
List
|
Top
|
353
|
Nexus file
|
732
|
23
|
Start
|
Low
|
354
|
Protein structure database
|
722
|
23
|
Start
|
Low
|
355
|
Eugene Koonin
|
716
|
23
|
Start
|
Low
|
356
|
Dry lab
|
716
|
23
|
Start
|
High
|
357
|
Biclustering
|
710
|
22
|
B
|
Mid
|
358
|
PLOS Computational Biology
|
701
|
22
|
Start
|
High
|
359
|
MUSCLE (alignment software)
|
699
|
22
|
Start
|
Mid
|
360
|
Metabolic network modelling
|
697
|
22
|
C
|
Mid
|
361
|
Tree of Life Web Project
|
689
|
22
|
Start
|
Low
|
362
|
Binning (metagenomics)
|
688
|
22
|
Start
|
Low
|
363
|
PHYLIP
|
687
|
22
|
Start
|
Low
|
364
|
Genetic operator
|
683
|
22
|
Start
|
Low
|
365
|
Systems neuroscience
|
682
|
22
|
Stub
|
Mid
|
366
|
Human Genome Organisation
|
679
|
21
|
Start
|
Low
|
367
|
List of omics topics in biology
|
675
|
21
|
List
|
Low
|
368
|
Uri Alon
|
674
|
21
|
Start
|
Low
|
369
|
Chou–Fasman method
|
674
|
21
|
B
|
Mid
|
370
|
HomoloGene
|
673
|
21
|
Start
|
Low
|
371
|
Threading (protein sequence)
|
667
|
21
|
Start
|
High
|
372
|
Paradox of enrichment
|
661
|
21
|
Start
|
Low
|
373
|
DAVID
|
661
|
21
|
Start
|
Mid
|
374
|
Genomic organization
|
654
|
21
|
Start
|
Low
|
375
|
NK model
|
644
|
20
|
B
|
Low
|
376
|
Weasel program
|
642
|
20
|
B
|
Low
|
377
|
Steven Salzberg
|
641
|
20
|
Start
|
Low
|
378
|
List of alignment visualization software
|
639
|
20
|
List
|
Mid
|
379
|
Genome browser
|
638
|
20
|
List
|
High
|
380
|
CRAM (file format)
|
638
|
20
|
Start
|
Low
|
381
|
ChIP-on-chip
|
629
|
20
|
C
|
Low
|
382
|
Mathematical physiology
|
617
|
19
|
Stub
|
Mid
|
383
|
Synthetic virology
|
612
|
19
|
Start
|
Mid
|
384
|
Haldane's dilemma
|
609
|
19
|
B
|
Low
|
385
|
Barcode of Life Data System
|
607
|
19
|
Stub
|
Low
|
386
|
Sarah Teichmann
|
606
|
19
|
C
|
Low
|
387
|
Sequence Read Archive
|
601
|
19
|
Start
|
High
|
388
|
Fossilworks
|
597
|
19
|
Stub
|
Low
|
389
|
Bioinformatics (journal)
|
589
|
19
|
Start
|
High
|
390
|
Genomics England
|
585
|
18
|
Start
|
Low
|
391
|
Evolutionary grade
|
582
|
18
|
Start
|
High
|
392
|
Protein function prediction
|
581
|
18
|
Start
|
High
|
393
|
Viral phylodynamics
|
580
|
18
|
B
|
Low
|
394
|
MAFFT
|
576
|
18
|
Stub
|
Mid
|
395
|
Animal Diversity Web
|
576
|
18
|
C
|
Mid
|
396
|
Biological network inference
|
575
|
18
|
C
|
Low
|
397
|
Taxonomic database
|
574
|
18
|
Start
|
Mid
|
398
|
FreeSurfer
|
569
|
18
|
Start
|
Mid
|
399
|
Tom Blundell
|
568
|
18
|
C
|
Low
|
400
|
GeneDx
|
568
|
18
|
Stub
|
Low
|
401
|
Long branch attraction
|
559
|
18
|
Start
|
Low
|
402
|
Protein tandem repeats
|
556
|
17
|
Start
|
Mid
|
403
|
PLINK (genetic tool-set)
|
556
|
17
|
Stub
|
Low
|
404
|
Reactome
|
553
|
17
|
Start
|
Low
|
405
|
ARKive
|
550
|
17
|
C
|
Mid
|
406
|
Demographic and Health Surveys
|
546
|
17
|
B
|
Low
|
407
|
List of MeSH codes
|
546
|
17
|
List
|
Mid
|
408
|
Dynamic energy budget theory
|
543
|
17
|
C
|
Low
|
409
|
Pavel A. Pevzner
|
542
|
17
|
Start
|
Low
|
410
|
BRENDA
|
536
|
17
|
Start
|
Mid
|
411
|
Narrow escape problem
|
535
|
17
|
C
|
Low
|
412
|
Crystallography Open Database
|
525
|
16
|
Stub
|
Low
|
413
|
Chemical library
|
522
|
16
|
Start
|
Low
|
414
|
UGENE
|
520
|
16
|
C
|
Low
|
415
|
Circular permutation in proteins
|
517
|
16
|
GA
|
Low
|
416
|
Stephen Altschul
|
510
|
16
|
Start
|
Low
|
417
|
CUT&Tag sequencing
|
506
|
16
|
Start
|
Low
|
418
|
De novo protein structure prediction
|
502
|
16
|
Start
|
High
|
419
|
Macromolecular docking
|
500
|
16
|
B
|
Mid
|
420
|
Diseases Database
|
500
|
16
|
Start
|
Mid
|
421
|
Protein–protein interaction prediction
|
500
|
16
|
Start
|
High
|
422
|
Human Protein Atlas
|
494
|
15
|
Start
|
Low
|
423
|
Michael Ashburner
|
493
|
15
|
Start
|
Low
|
424
|
Short linear motif
|
491
|
15
|
B
|
Mid
|
425
|
David Goodsell
|
491
|
15
|
C
|
Low
|
426
|
Global distance test
|
490
|
15
|
Stub
|
Low
|
427
|
Elasticity coefficient
|
486
|
15
|
C
|
Mid
|
428
|
Fungal DNA barcoding
|
486
|
15
|
C
|
Low
|
429
|
List of biodiversity databases
|
485
|
15
|
List
|
Low
|
430
|
Structural genomics
|
481
|
15
|
Start
|
High
|
431
|
The Arabidopsis Information Resource
|
481
|
15
|
Stub
|
Low
|
432
|
Mascot (software)
|
477
|
15
|
C
|
High
|
433
|
FlyBase
|
477
|
15
|
Start
|
Mid
|
434
|
James D. Murray
|
477
|
15
|
Start
|
Low
|
435
|
Metabolic flux analysis
|
474
|
15
|
Stub
|
Low
|
436
|
European Nucleotide Archive
|
473
|
15
|
GA
|
Mid
|
437
|
BLAT (bioinformatics)
|
472
|
15
|
B
|
Low
|
438
|
UniFrac
|
471
|
15
|
Stub
|
Low
|
439
|
David Botstein
|
470
|
15
|
Start
|
Low
|
440
|
Briefings in Bioinformatics
|
470
|
15
|
Start
|
Low
|
441
|
PSIPRED
|
467
|
15
|
Start
|
High
|
442
|
De novo transcriptome assembly
|
467
|
15
|
C
|
Mid
|
443
|
SPAdes (software)
|
467
|
15
|
C
|
Low
|
444
|
MODELLER
|
464
|
14
|
Start
|
Mid
|
445
|
Dryad (repository)
|
457
|
14
|
Start
|
Low
|
446
|
Ancestral reconstruction
|
456
|
14
|
B
|
Low
|
447
|
Inferring horizontal gene transfer
|
453
|
14
|
B
|
Low
|
448
|
100,000 Genomes Project
|
447
|
14
|
C
|
Low
|
449
|
Hypercycle (chemistry)
|
445
|
14
|
B
|
Low
|
450
|
Glycomics
|
441
|
14
|
Start
|
Low
|
451
|
Janet Thornton
|
441
|
14
|
C
|
Low
|
452
|
Taekjip Ha
|
440
|
14
|
Start
|
Low
|
453
|
International Nucleotide Sequence Database Collaboration
|
438
|
14
|
Stub
|
Mid
|
454
|
Pileup format
|
437
|
14
|
Start
|
Low
|
455
|
Joseph DeRisi
|
437
|
14
|
Start
|
Low
|
456
|
Epigenome-wide association study
|
436
|
14
|
C
|
Low
|
457
|
Carl Bergstrom
|
435
|
14
|
Stub
|
Low
|
458
|
Protein pKa calculations
|
435
|
14
|
Start
|
Low
|
459
|
Autophagy database
|
433
|
13
|
Start
|
Low
|
460
|
Dehaene–Changeux model
|
430
|
13
|
Start
|
Low
|
461
|
Haplotype estimation
|
430
|
13
|
Start
|
Low
|
462
|
Hindmarsh–Rose model
|
429
|
13
|
Stub
|
Low
|
463
|
Codon Adaptation Index
|
429
|
13
|
Stub
|
Low
|
464
|
Edward C. Holmes
|
427
|
13
|
Start
|
Low
|
465
|
Consensus CDS Project
|
425
|
13
|
C
|
Low
|
466
|
Robinson–Foulds metric
|
423
|
13
|
C
|
Low
|
467
|
Putative gene
|
422
|
13
|
Start
|
Mid
|
468
|
Epitranscriptome
|
421
|
13
|
B
|
Low
|
469
|
Flow cytometry bioinformatics
|
421
|
13
|
B
|
Low
|
470
|
Rob Knight (biologist)
|
420
|
13
|
Stub
|
Low
|
471
|
SNPedia
|
419
|
13
|
Start
|
Low
|
472
|
Next-generation matrix
|
417
|
13
|
Start
|
Low
|
473
|
GOR method
|
416
|
13
|
Start
|
Mid
|
474
|
Pyotr Anokhin
|
415
|
13
|
Start
|
Low
|
475
|
Population viability analysis
|
414
|
13
|
C
|
Mid
|
476
|
CAZy
|
407
|
13
|
Start
|
Mid
|
477
|
Allen Brain Atlas
|
406
|
13
|
C
|
Mid
|
478
|
Bernd Sturmfels
|
406
|
13
|
Stub
|
Low
|
479
|
Computational epigenetics
|
400
|
12
|
Start
|
Mid
|
480
|
BioPerl
|
397
|
12
|
Start
|
High
|
481
|
Velvet assembler
|
397
|
12
|
Start
|
Low
|
482
|
WPGMA
|
397
|
12
|
C
|
Low
|
483
|
Morris–Lecar model
|
394
|
12
|
Start
|
Low
|
484
|
Sequenom
|
393
|
12
|
Start
|
Low
|
485
|
Erez Lieberman Aiden
|
389
|
12
|
GA
|
Low
|
486
|
Energy charge
|
388
|
12
|
Start
|
Low
|
487
|
High-frequency oscillations
|
384
|
12
|
C
|
Low
|
488
|
Jay Shendure
|
384
|
12
|
Start
|
Low
|
489
|
Phylogenetic Assignment of Named Global Outbreak Lineages
|
383
|
12
|
Start
|
Low
|
490
|
BMC Bioinformatics
|
382
|
12
|
C
|
Low
|
491
|
Mouse Genome Informatics
|
373
|
12
|
Stub
|
Low
|
492
|
Analysis of molecular variance
|
373
|
12
|
Stub
|
Low
|
493
|
Conserved Domain Database
|
372
|
12
|
Start
|
Low
|
494
|
National Institute of Biomedical Genomics
|
372
|
12
|
Stub
|
Mid
|
495
|
FlowJo
|
370
|
11
|
Start
|
Low
|
496
|
Nicolas Rashevsky
|
370
|
11
|
B
|
Mid
|
497
|
Algae DNA barcoding
|
368
|
11
|
Start
|
Low
|
498
|
Biocuration
|
365
|
11
|
B
|
High
|
499
|
David J. Lipman
|
363
|
11
|
Start
|
Low
|
500
|
GENESIS (software)
|
363
|
11
|
Start
|
Low
|